See also:
Google Scholar:
http://scholar.google.com/citations?user=jHEgTSwAAAAJ&hl=en
Research Gate:
https://www.researchgate.net/profile/Stephen_Aylward
[1] 8,233,681: "Methods, Systems, and Computer Program Products For Hierarchical Registration Between a Blood Vessel and Tissue Surface Model For a Subject and a Blood Vessel and Tissue Surface Image For the Subject." S. Aylward, E. Bullitt, J. Jomier, July, 2012
[2] 8,090,164: "Systems, methods, and computer program products for analysis of vessel attributes for diagnosis, disease staging, and surgical planning." E. Bullitt, S. Aylward, January 2012
[3] 6,690,816: "Systems and methods for tubular object processing." S. Aylward, E. Bullitt, D. Fritsch, S. M. Pizer, February 2004
[4] S. Aylward, J. A. Noble, Y. Hu, S.-L. Lee, Z. Baum, and Z. Min, Advances for Simplifying medical ultrasound (ASMUS): Third international workshop held in conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings.
[5] J. A. Noble, S. Aylward, A. Grimwood, Z. Min, S.-L. Lee, and Y. Hu, Advances for Simplifying medical ultrasound (ASMUS): Second international workshop held in conjunction with MICCAI 2021, Proceedings.
[6] Y. Hu, R. Licandro, J. A. Noble, J. Hutter, S. Aylward, A. Melbourne, E. A. Turk, and J. T. Barrena, Medical ultrasound, and preterm, perinatal and paediatric image analysis: Advances for Simplifying Medical Ultrasound (ASMUS): First international workshop held in conjunction with MICCAI 2020, Lima, Peru, October 4-8, 2020, Proceedings.
[7] S. Aylward, A. Simpson, D. Stoyanov, J. M. R. Tavares, Z. Taylor, and Y. Xiao, Simulation, image processing, and ultrasound systems for assisted diagnosis and navigation: Point-of-Care Ultrasound (POCUS): International workshop held in conjunction with MICCAI 2018, Granada, Spain, September 16-20, 2018, Proceedings.
[8] M. J. Cardoso, T. Arbel, J. M. R. Tavares, S. Aylward, S. Li, E. Boctor, G. Fichtinger, K. Cleary, B. Freeman, L. Kohli, et al., Imaging for patient-customized simulations and systems for point-of-care ultrasound: Point-of-Care Ultrasound (POCUS): International workshop held in conjunction with MICCAI 2017, Qu´ebec City, Canada, September 14, 2017, Proceedings.
[9] M. Niethammer, M. Styner, S. Aylward, H. Zhu, I. Oguz, P.-T. Yap, and D. Shen, Information Processing in Medical Imaging: 25th international conference, IPMI 2017, Boone, NC, June 25-30, 2017, Proceedings
[10] S. Aylward, E. Boctor, and G. Fitchinger, “POCUS Workshop at MICCAI 2018 preface,” Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11042, p. VII, 2018, Proceedings.
[11] D. Stoyanov, Z. Taylor, S. Aylward, J. Tavares, Y. Xiao, A. Simpson, A. Martel, L. Maier-Hein, S. Li, H. Rivaz, I Reinertsen, M. Chabanas, K. Farahani, “Simulation, image processing, and ultrasound systems for assisted diagnosis and navigation,” Multi-Workshop Proceedings at MICCAI 2018, Granada, Spain, September 16–20, 2018, Proceedings.
[12] S. Aylward and L. M. Hadjiiski, “Medical imaging 2014: Computer-aided diagnosis,” Medical Imaging 2014: Computer-Aided Diagnosis, vol. 9035, 2014, Proceedings.
[13] C. L. Novak and S. Aylward, “Medical imaging 2013: Computer-aided diagnosis,” Medical Imaging 2013: Computer-Aided Diagnosis, vol. 8670, 2013, Proceedings.
[14] S. Aylward, J. Kim, “Chapter 3: Statistics of Pattern Recognition” in Insight Into Images: Principles and Practice for Segmentation, Registration, and Image Analysis, AK Peters, 2004, pp. 393
[15] S. Aylward, J. Kim, “Chapter 6: Statistical Methods in Medical Image Analysis” Theory of Applied Medical Image Analysis, AK Peters, 2003, pages 62
[16] J. Jomier, S. Aylward, "Chapter 5: Spatial Objects" ITK Software Guide, Kitware Publications, 2003 pp. 91-112
[17] S. Aylward, E. Bullitt, “Chapter 11: Clinical Applications Involving Vascular Image Segmentation and Registration” in Angiography and Plaque Imaging: A Segmentation Perspective, Academic Press, 2002 pp. 529-579
[18] S. Aylward, Continuous Mixture Modeling via Goodness-of-Fit Cores, Dissertation, Department of Computer Science, University of North Carolina at Chapel Hill, 1997. pages 175
[19] S. Gerber, M. Niethammer, E. Ebrahim, J. Piven, S. R. Dager, M. Styner, S. Aylward, and A. Enquobahrie, “Optimal transport features for morphometric population analysis,” Medical Image Analysis, vol. 84, p. 102 696, 2023.
[20] S. Montgomery, F. Li, C. Funk, E. Peethumangsin, M. Morris, J. T. Anderson, A. M. Hersh, and S. Aylward, “Detection of pneumothorax on ultrasound using artificial intelligence,” Journal of Trauma and Acute Care Surgery, vol. 94, no. 3, pp. 379–384, 2023.
[21] B. T. Moore, T. Osika, S. Satterly, S. Shah, T. Thirion, S. Hampton, S. Aylward, and S. Montgomery, “Evaluation of commercially available point-of-care ultrasound for automated optic nerve sheath measurement,” The Ultrasound Journal, vol. 15, no. 1, p. 33, 2023.
[22] J. Xu, G. Thevenon, T. Chabat, M. McCormick, F. Li, T. Birdsong, K. Martin, Y. Lee, and S. Aylward, “Interactive, in-browser cinematic volume rendering of medical images,” Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, vol. 11, no. 4, pp. 1019–1026, 2023.
[23] Y. K. Ben-Zikri, M. Helguera, D. Fetzer, D. A. Shrier, S. Aylward, D. Chittajallu, M. Niethammer, N. D. Cahill, and C. A. Linte, “A feature-based affine registration method for capturing background lung tissue deformation for ground glass nodule tracking,” Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, vol. 10, no. 5, pp. 521–539, 2022.
[24] P. Liu, Y. Z. Lee, S. Aylward, and M. Niethammer, “Perfusion imaging: An advection diffusion approach,” IEEE Transactions on Medical Imaging, vol. 40, no. 12, pp. 3424–3435, 2021.
[25] R. Roshankhah, Y. Karbalaeisadegh, H. Greer, F. Mento, G. Soldati, A. Smargiassi, R. Inchingolo, E. Torri, T. Perrone, S. Aylward, L. Demi, M. Muller, “Investigating training-test data splitting strategies for automated segmentation and scoring of covid-19 lung ultrasound images,” The Journal of the Acoustical Society of America, vol. 150, no. 6, pp. 4118–4127, 2021.
[26] T. Ungi, H. Greer, K. R. Sunderland, V. Wu, Z. M. Baum, C. Schlenger, M. Oetgen, K. Cleary, S. Aylward, and G. Fichtinger, “Automatic spine ultrasound segmentation for scoliosis visualization and measurement,” IEEE Transactions on Biomedical Engineering, vol. 67, no. 11, pp. 3234–3241, 2020.
[27] D. R. Chittajallu, M. McCormick, S. Gerber, T. J. Czernuszewicz, R. Gessner, M. S. Willis, M. Niethammer, R. Kwitt, and S. Aylward, “Image-based methods for phase estimation, gating, and temporal superresolution of cardiac ultrasound,” IEEE Transactions on Biomedical Engineering, vol. 66, no. 1, pp. 72–79, 2018.
[28] T. J. Czernuszewicz, V. Papadopoulou, J. D. Rojas, R. M. Rajamahendiran, J. Perdomo, J. Butler, M. Harlacher, G. O’Connell, D. Zuki´c, S. Aylward, P. Dayton, “A new preclinical ultrasound platform for widefield 3D imaging of rodents,” Review of Scientific Instruments, vol. 89, no. 7, 2018.
[29] X. Han, R. Kwitt, S. Aylward, S. Bakas, B. Menze, A. Asturias, P. Vespa, J. Van Horn, and M. Niethammer, “Brain extraction from normal and pathological images: A joint pca/image-reconstruction approach,” NeuroImage, vol. 176, pp. 431–445, 2018.
[30] J. D. Rojas, V. Papadopoulou, T. J. Czernuszewicz, R. M. Rajamahendiran, A. Chytil, Y.-C. Chiang, D. C. Chong, V. L. Bautch, W. K. Rathmell, S. Aylward, R. Gessner, P. Dayton, “Ultrasound measurement of vascular density to evaluate response to anti-angiogenic therapy in renal cell carcinoma,” IEEE Transactions on Biomedical Engineering, vol. 66, no. 3, pp. 873–880, 2018.
[31] M. M. McCormick, M. L. Palmeri, J.-C. Fillion-Robin, and S. Aylward, “Slicer ITKUltrasound: A 3d slicer extension for scan conversion of b-mode and next-generation ultrasound imaging modalities,” Journal of Open Source Software, vol. 2, no. 10, p. 153, 2017.
[32] X. Liu, M. Niethammer, R. Kwitt, N. Singh, M. McCormick, and S. Aylward, “Low-rank atlas image analyses in the presence of pathologies,” IEEE transactions on medical imaging, vol. 34, no. 12, pp. 2583–2591, 2015.
[33] S. E. Shelton, Y. Z. Lee, M. Lee, E. Cherin, F. S. Foster, S. Aylward, and P. A. Dayton, “Quantification of microvascular tortuosity during tumor evolution using acoustic angiography,” Ultrasound in medicine & biology, vol. 41, no. 7, pp. 1896–1904, 2015.
[34] R. C. Gessner, A. D. Hanson, S. Feingold, A. T. Cashion, A. Corcimaru, B. T. Wu, C. R. Mullins, S. Aylward, L. M. Reid, and P. A. Dayton, “Functional ultrasound imaging for assessment of extracellular matrix scaffolds used for liver organoid formation,” Biomaterials, vol. 34, no. 37, pp. 9341–9351, 2013.
[35] R. Kwitt, N. Vasconcelos, S. Razzaque, and S. Aylward, “Localizing target structures in ultrasound video–a phantom study,” Medical image analysis, vol. 17, no. 7, pp. 712–722, 2013.
[36] D. F. Pace, S. Aylward, and M. Niethammer, “A locally adaptive regularization based on anisotropic diffusion for deformable image registration of sliding organs,” IEEE transactions on medical imaging, vol. 32, no. 11, pp. 2114–2126, 2013.
[37] A. Fedorov, R. Beichel, J. Kalpathy-Cramer, J. Finet, J.-C. Fillion-Robin, S. Pujol, C. Bauer, D. Jennings, F. Fennessy, M. Sonka, J. Buatti, S. Aylward, J. V. Miller, S. Pieper, and R. Kikinis, “3D Slicer as an image computing platform for the quantitative imaging network,” Magnetic resonance imaging, vol. 30, no. 9, pp. 1323–1341, 2012.
[38] R. C. Gessner, S. Aylward, and P. A. Dayton, “Imaging tortuosity: The potential utility of acoustic angiography in cancer detection and tumor assessment,” Imaging in Medicine, vol. 4, no. 6, p. 581, 2012.
[39] A. Irimia, B. Wang, S. Aylward, M. W. Prastawa, D. F. Pace, G. Gerig, D. A. Hovda, R. Kikinis, P. M. Vespa, and J. D. Van Horn, “Neuroimaging of structural pathology and connectomics in traumatic brain injury: Toward personalized outcome prediction,” NeuroImage: Clinical, vol. 1, no. 1, pp. 1–17, 2012.
[40] T. Kapur, S. Pieper, R. Whitaker, S. Aylward, M. Jakab, W. Schroeder, and R. Kikinis, “The National Alliance for Medical Image Computing, a roadmap initiative to build a free and open source software infrastructure for translational research in medical image analysis,” Journal Of The American Medical Informatics Association, vol. 19, no. 2, pp. 176–180, Mar. 2012.
[41] R. C. Gessner, S. Aylward, and P. A. Dayton, “Mapping Microvasculature with Acoustic Angiography Yields Quantifiable Differences between Healthy and Tumor-bearing Tissue Volumes in a Rodent Model,” Radiology, vol. 264, no. 3, pp. 733–740, 2012.
[42] E. Bullitt, D. Zeng, B. Mortamet, A. Ghosh, S. Aylward, W. Lin, B. L. Marks, and K. Smith, “The effects of healthy aging on intracerebral blood vessels visualized by magnetic resonance angiography,” NEUROBIOLOGY OF AGING, vol. 31, no. 2, pp. 290–300, Feb. 2010.
[43] D. M. Shelton, G. D. Stetten, G.D., S. Aylward, L. Ibáñez, A. Cois, & C. V. Stewart, “Teaching medical image analysis with the Insight Toolkit.” Medical image analysis, 9 6, 605-11, 2005
[44] E. Bullitt, M. Ewend, J. Vredenburgh, A. Friedman, W. Lin, K. Wilber, D. Zeng, S. Aylward, and D. Reardon, “Computerized assessment of vessel morphological changes during treatment of glioblastoma multiforme: Report of a case imaged serially by MRA over four years,” NEUROIMAGE, vol. 47, pp. T143–T151, Aug. 2009.
[45] G. Piliere, M. H. Van Horn, R. Dixon, J. Stavas, S. Aylward, and E. Bullitt, “Vessel target location estimation during the TIPS procedure,” Medical Image Analysis, vol. 13, no. 3, pp. 519–529, Jun. 2009.
[46] Enquobahrie, P. Cheng, K. Gary, L. Ibanez, D. Gobbi, F. Lindseth, Z. Yaniv, S. Aylward, J. Jomier, and K. Cleary, “The image-guided surgery toolkit IGSTK: An open source C++ software toolkit,” JOURNAL OF DIGITAL IMAGING, vol. 20, no. 1, pp. 21–33, Nov. 2007.
[47] E. Bullitt, S. Aylward, T. Van Dyke, and W. Lin, “Computer-assisted measurement of vessel shape from 3T magnetic resonance angiography of mouse brain,” METHODS, vol. 43, no. 1, pp. 29–34, Sep. 2007.
[48] S. DiMaio, T. Kapur, K. Cleary, S. Aylward, P. Kazanzides, K. Vosburgh, R. Ellis, J. Duncan, K. Farahani, H. Lemke, T. Peters, W. (Bill) Lorensen, D. Gobbi, J. Haller, L. (Larry) Clarke, S. Pizer, R. Taylor, R. Galloway, Jr., G. Fichtinger, N. Hata, K. Lawson, C. Tempany, R. Kikinis, and F. Jolesza, “Challenges in image-guided therapy system design,” Neuroimage, vol. 37, no. 1, pp. S144–S151, 2007.
[49] K. Gary, L. Ibanez, S. Aylward, D. Gobbi, M. Blake, and K. Cleary, “IGSTK: An open source software toolkit for image-guided surgery,” COMPUTER, vol. 39, no. 4, p. 46+, Apr. 2006.
[50] D. Shelton, G. Stetten, S. Aylward, L. Ibanez, A. Cois, and C. Stewart, “Teaching medical image analysis with the Insight Toolkit,” Medical Image Analysis, vol. 9, no. 6, pp. 605–611, Dec. 2005.
[51] S. Aylward, K. Cleary, and D. Hawkes, “Intraoperative image processing for surgical guidance,” IEEE TRANSACTIONS ON MEDICAL IMAGING, vol. 24, no. 11, pp. 1401–1404, Nov. 2005.
[52] E. Bullitt, D. Zeng, G. Gerig, S. Aylward, S. Joshi, J. Smith, W. Lin, and M. Ewend, “Vessel tortuosity and brain tumor malignancy: A blinded study,” Academic Radiology, vol. 12, no. 10, pp. 1232–1240, Oct. 2005. Winner 2006 Herbert M. Stauffer Award by the Association of University Radiologists PMID: 16179200
[53] E. Cole, E. Pisano, D. Zeng, K. Muller, S. Aylward, S. Park, C. Kuzmiak, M. Koomen, D. Pavic, R. Walsh, J. Baker, E. Gimenez, and R. Freimanis, “The effects of gray scale image processing on digital mammography interpretation performance,” Academic Radiology, vol. 12, no. 5, pp. 585–595, May 2005.
[54] E. Bullitt, K. Muller, I. Jung, W. Lin, and S. Aylward, “Analyzing attributes of vessel populations,” Medical Image Analysis, vol. 9, no. 1, pp. 39–49, Feb. 2005.
[55] K. Kocis, C. Kuroda, W. Sternberger, J. Michael, L. Ramac-Thomas, S. Daniels, S. Aylward, J. Kim, D. Nichols, J. Gotsis, and others, “Quantifying Diaphragm Function with Ultrasound: Development in a Piglet Model of Diaphragm Fatigue: 19,” Pediatric Critical Care Medicine, vol. 6, no. 1, p. 107, 2005.
[56] K. Tucker, K. Robertson, W. Lin, J. Smith, H. An, Y. Chen, S. Aylward, and C. Hall, “Neuroimaging in human immunodeficiency virus infection,” Journal Of Neuroimmunology, vol. 157, no. 1–2, pp. 153–162, Dec. 2004.
[57] E. Bullitt, M. Ewend, S. Aylward, W. Lin, G. Gerig, S. Joshi, I. Jung, K. Muller, and J. Smith, “Abnormal vessel tortuosity as a marker of treatment response of malignant gliomas: Preliminary report,” Technology In Cancer Research & Treatment, vol. 3, no. 6, pp. 577–584, Dec. 2004.
[58] Y. Fridman, S. Pizer, S. Aylward, and E. Bullitt, “Extracting branching tubular object geometry via cores,” Medical Image Analysis, vol. 8, no. 3, pp. 169–176, Sep. 2004.
[59] K. C. Kocis, M. Cereda, C. A. Kuroda, H. L. Hurd, S. Aylward, E. B. Freid, J. R. Yankaskas, and W. I. Sternberger, “Areadi, A Novel Ultrasound Method for Quantifying Diaphragm Function in Adults: 394,” Critical Care Medicine, vol. 32, no. 12, p. A109, 2004.
[60] J. Jomier, S. Weeks, and S. Aylward, “Vascular image registration for intra-operative 3D ultrasound annotation,” International Congress Series, vol. 1268, pp. 1308–1308, 2004.
[61] S. Aylward, J. Jomier, S. Weeks, and E. Bullitt, “Registration and analysis of vascular images,” International Journal Of Computer Vision, vol. 55, no. 2–3, pp. 123–138, Dec. 2003.
[62] E. Bullitt, G. Gerig, S. Pizer, W. Lin, and S. Aylward, “Measuring tortuosity of the intracerebral vasculature from MRA images,” IEEE Transactions On Medical Imaging, vol. 22, no. 9, pp. 1163–1171, Sep. 2003.
[63] D. Wallace, A. Capone, J. Jomier, S. Aylward, M. Landers, M. Trese, and P.-R. S. Grp, “Computer automated quantification of plus disease in RetCam images of retinopathy of prematurity,” Investigative Ophthalmology & Visual Science, vol. 44, no. 1, p. U116, May 2003.
[64] D. Wallace, J. Jomier, S. Aylward, and M. Landers, “Computer-automated quantification of plus disease in retinopathy of prematurity,” Journal Of AAPOS, vol. 7, no. 2, pp. 126–130, Apr. 2003.
[65] S. Pizer, G. Gerig, S. Joshi, and S. Aylward, “Multiscale medial shape-based analysis of image objects,” in Proceedings Of The IEEE, 2003, vol. 91, pp. 1670–1679.
[66] S. Aylward, “Continuous mixture modeling via goodness-of-fit ridges,” Pattern Recognition, vol. 35, no. 9, pp. 1821–1833, Sep. 2002.
[67] E. Bullitt and S. Aylward, “Volume rendering of segmented image objects,” IEEE Transactions On Medical Imaging, vol. 21, no. 8, pp. 998–1002, Aug. 2002.
[68] T. S. Yoo, M. J. Ackerman, W. E. Lorensen, W. Schroeder, V. Chalana, S. Aylward, D. Metaxas, and R. Whitaker, “Engineering and algorithm design for an image processing API: A technical report on ITK-the Insight Toolkit,” Studies in health technology and informatics, pp. 586–592, 2002.
[69] E. Bullitt and S. Aylward, “Patient-specific vascular models for endovascular and open operative procedures,” International Congress Series, vol. 1247, pp. 129–138, 2002.
[70] S. Aylward and E. Bullitt, “Initialization, noise, singularities, and scale in height ridge traversal for tubular object centerline extraction,” Medical Imaging, IEEE Transactions on, vol. 21, no. 2, pp. 61–75, 2002.
[71] S. Weeks, K. Wilber, and S. Aylward, “Volume estimations using conventional hand tracing techniques vs automatic thresholding techniques: Can we be more accurate and save time?,” Radiology, vol. 221, no. S, p. 119, Nov. 2001.
[72] E. Bullitt, S. Aylward, K. Smith, S. Mukherji, M. Jiroutek, and K. Muller, “Symbolic description of intracerebral vessels segmented from magnetic resonance angiograms and evaluation by comparison with X-ray angiograms,” Medical Image Analysis, vol. 5, no. 2, pp. 157–169, Jun. 2001.
[73] E. Bullitt, S. Aylward, E. Bernard, and G. Gerig, “Computer-assisted visualization of arteriovenous malformations on the home personal computer,” Neurosurgery, vol. 48, no. 3, pp. 576–582, Mar. 2001.
[74] E. Pisano, E. Cole, B. Hemminger, M. Yaffe, S. Aylward, A. Maidment, R. Johnston, M. Williams, L. Niklason, E. Conant, L. Fajardo, D. Kopans, M. Brown, and S. Pizer, “Image processing algorithms for digital mammography: A pictorial essay,” Radiographics, vol. 20, no. 5, pp. 1479–1491, Oct. 2000.
[75] E. Pisano, E. Cole, S. Major, S. Zong, B. Hemminger, K. Muller, R. Johnston, R. Walsh, E. Conant, L. Fajardo, S. Feig, R. Nishikawa, M. Yaffe, M. Williams, S. Aylward, and I. D. M. D. Grp, “Radiologists’ preferences for digital mammographic display,” Radiology, vol. 216, no. 3, pp. 820–830, Sep. 2000.
[76] R. Gerstle, S. Aylward, S. Kromhout-Schiro, and S. Mukherji, “The role of neural networks in improving the accuracy of MR spectroscopy for the diagnosis of head and neck squamous cell carcinoma,” American Journal Of Neuroradiology, vol. 21, no. 6, pp. 1133–1138, Jul. 2000.
[77] E. Pisano, B. Hemminger, S. Sthapit, S. Aylward, E. Cole, and R. Johnston, “Comparison of speed and accuracy of a digital mammography softcopy display system vs. printed film display,” Radiology, vol. 213P, p. 322, Nov. 1999.
[78] E. Bullitt, A. Liu, S. Aylward, C. Coffey, J. Stone, S. Mukherji, K. Muller, and S. Pizer, “Registration of 3D cerebral vessels with 2D digital angiograms: Clinical evaluation,” Academic Radiology, vol. 6, no. 9, pp. 539–546, Sep. 1999.
[79] R. Gerstle, S. Aylward, S. Mukherji, S. Schiro, and K. Muller, “Neural network and statistical analysis of proton MR spectroscopy in the diagnosis of laryngeal carcinoma,” Radiology, vol. 209P, no. S, p. 151, Nov. 1998.
[80] S. Aylward, E. Bullitt, and P. Stephen, “VTree3D: Fast and effective vessel, bronchial tube, duct, and bone display,” Radiology, vol. 209P, no. S, p. 394, Nov. 1998.
[81] S. Aylward, B. M. Hemminger, and E. D. Pisano, “Mixture modeling for digital mammogram display and analysis,” Computational Imaging And Vision, vol. 13, pp. 305–312, 1998.
[82] S. Aylward, “Continuous mixture modeling via goodness-of-fit cores,” Medical Physics, vol. 24, no. 7, p. 1182, Jul. 1997. (Extended Abstract)
[83] E. Bullitt, A. Liu, S. Aylward, M. Soltys, J. Rosenman, and S. Pizer, “Methods for displaying intracerebral vascular anatomy,” American Journal Of Neuroradiology, vol. 18, no. 3, pp. 417–420, Mar. 1997.
[84] G. Peterson, D. Stclair, S. Aylward, And W. Bond, “Using Taguchi Method Of Experimental-Design To Control Errors In Layered Perceptrons,” IEEE Transactions On Neural Networks, vol. 6, no. 4, pp. 949–961, Jul. 1995.
[85] M. J. Cardoso, W. Li, R. Brown, N. Ma, E. Kerfoot, Y. Wang, B. Murrey, A. Myronenko, C. Zhao, D. Yang, V. Nath, Y. He, Z. Xu, A. Hatamizadeh, A. Myronenko, W. Zhu, Y. Liu, M. Zheng, Y. Tang, I. Yang, M. Zephyr, B. Hashemian, S. Alle, M. Z. Darestani, C. Budd, M. Modat, T. Vercauteren, G. Wang, Y. Li, Y. Hu, Y. Fu, B. Gorman, H. Johnson, B. Genereaux, B. S. Erdal, V. Gupta, A. Diaz-Pinto, A. Dourson, L. Maier-Hein, P. F. Jaeger, M. Baumgartner, J. Kalpathy-Cramer, M. Flores, J. Kirby, L.A.D. Cooper, H. R. Roth, D. Xu, D. Bericat, R. Floca, S. K. Zhou, H. Shuaib, K. Farahani, K. H. Maier-Hein, S. Aylward, P. Dogra, S. Ourselin, A. Feng, “MONAI: An open-source framework for deep learning in healthcare,” arXiv preprint arXiv:2211.02701, 2022. (Submitted to MELBA)
[86] P. Liu, Y. Z. Lee, S. Aylward, and M. Niethammer, “Perfusion imaging: A data assimilation approach,” arXiv preprint arXiv:2009.02796, 2020. (Submitted to IEEE TMI)
[87] A. M. Mendrik and S. Aylward, “A framework for challenge design: Insight and deployment challenges to address medical image analysis problems,” arXiv preprint arXiv:1911.08531, 2019.
[88] A. M. Mendrik and S. Aylward, “Beyond the leaderboard: Insight and deployment challenges to address research problems,” arXiv preprint, arXiv:1811.03014, 2018.
[89] D. Zukic, J. Vicory, M. McCormick, L. Wisse, G. Gerig, P. Yushkevich, and S. Aylward, “Nd morphological contour interpolation,” Insight Journal, vol. 17, pp. 1–27, 2016.
[90] C. Mullins, R. Gessner, and S. Aylward, “Using tubetk to automatically merge volumes,” Insight Journal, January, 2014.
[91] A. Enquobahrie, H. Yang, and S. Aylward, “Implementation of local structure tensor and enhancement anisotropic diffusion filters in ITK,” The Insight Journal, vol. 8, 2010.
[92] A. Enquobahrie, L. Ibanez, E. Bullitt, and S. Aylward, “Vessel enhancing diffusion filter,” The Insight Journal, vol. 1, pp. 1-14, 2007.
[93] M. Malaterre, O. Burgert, T. Treichel, M. Gessat, D. Dalal, J. Jomier, S. Aylward, R. Manniesing, J. Dowling, P. Greer, et al., “Jpeg 2000 in medical applications,” Insight Journal, Vol 1, 2006.
[94] D. Dalal, J. Jomier, and S. Aylward, “A dicom-based software infrastructure for data archiving,” Insight Journal, Vol 1, 2005.
[95] L. Ibanez, J. Jomier, D. Gobbi, R. Avila, M. B. Blake, H.-S. Kim, K. Gary, S. Aylward, and K. Cleary, “Igstk: A state machine architecture for an open source software toolkit for image-guided surgery applications,” Insight Journal, Vol 1, 2005.
[96] P. Liu, Y. Lee, S. Aylward, and M. Niethammer, “Deep decomposition for stochastic normal-abnormal transport,” in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022, pp. 18 791–18 801.
[97] P. Liu, L. Tian, Y. Zhang, S. Aylward, Y. Lee, and M. Niethammer, “Discovering hidden physics behind transport dynamics,” in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2021, pp. 10 082–10 092.
[98] P. Liu, Y. Z. Lee, S. Aylward, and M. Niethammer, “Piano: Perfusion imaging via advection-diffusion,” in Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd International Conference, Lima, Peru, October 4–8, 2020, Proceedings, Part VII 23, Springer International Publishing, 2020, pp. 688–698.
[99] L. Tian, C. Puett, P. Liu, Z. Shen, S. Aylward, Y. Z. Lee, and M. Niethammer, “Fluid registration between lung ct and stationary chest tomosynthesis images,” in Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd International Conference, Lima, Peru, October 4–8, 2020, Proceedings, Part III 23, Springer International Publishing, 2020, pp. 307–317
[100] S. Gerber, M. Niethammer, M. Styner, and S. Aylward, “Exploratory population analysis with unbalanced optimal transport,” in Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st International Conference, Granada, Spain, September 16-20, 2018, Proceedings, Part III 11, Springer International Publishing, 2018, pp. 464–472.
[101] J. Fishbaugh, M. Prastawa, B. Wang, P. Reynolds, S. Aylward, and G. Gerig, “Data-driven rank aggregation with application to grand challenges,” in Medical Image Computing and Computer-Assisted Intervention MICCAI 2017: 20th International Conference, Quebec City, QC, Canada, September 11-13, 2017, Proceedings, Part II 20, Springer International Publishing, 2017, pp. 754–762.
[102] X. Liu, M. Niethammer, R. Kwitt, M. McCormick, and S. Aylward, “Low-rank to the rescue–atlas-based analyses in the presence of pathologies,” in Medical Image Computing and Computer-Assisted Intervention MICCAI 2014: 17th International Conference, Boston, MA, USA, September 14-18, 2014, Proceedings, Part III 17, Springer International Publishing, 2014, pp. 97–104.
[103] R. Kwitt, D. Pace, M. Niethammer, and S. Aylward, “Studying cerebral vasculature using structure proximity and graph kernels,” in Medical Image Computing and Computer-Assisted Intervention–MICCAI 2013: 16th International Conference, Nagoya, Japan, September 22-26, 2013, Proceedings, Part II 16, Springer Berlin Heidelberg, 2013, pp. 534–541.
[104] R. Kwitt, N. Vasconcelos, S. Razzaque, and S. Aylward, “Recognition in ultrasound videos: Where am I?” In International Conference on Medical Image Computing and Computer-Assisted Intervention, Springer Berlin Heidelberg Berlin, Heidelberg, 2012, pp. 83–90.
[105] M. Niethammer, G. L. Hart, D. F. Pace, P. M. Vespa, A. Irimia, J. D. Van Horn, and S. Aylward, “Geometric metamorphosis,” in MICCAI’11: Proceedings of the 14th international conference on Medical image computing and computer-assisted intervention, Berlin, Heidelberg, 2011, pp. 639–646.
[106] J. Jomier, E. Bullitt, M. Van Horn, C. Pathak, and S. Aylward, “3D/2D model-to-image registration applied to TIPS surgery,” in MICCAI’06: Proceedings of the 9th international conference on Medical Image Computing and Computer-Assisted Intervention, Berlin, Heidelberg, 2006, pp. 662–669.
[107] Z. Zhao, S. Aylward, and E. Teoh, “A novel 3D Partitioned Active Shape Model for segmentation of brain MR images,” in MICCAI ’05: Proceedings of the International Conference on Medical Image Computing and Computer-Assisted Intervention, 2005, vol. 3749, pp. 221–228.
[108] J. Jomier, V. LeDigarcher, and S. Aylward, “Automatic vascular tree formation using the mahalanobis distance,” in Medical Image Computing and Computer-Assisted Intervention–MICCAI 2005, 2005, pp. 806–812.
[109] J. Jomier, V. LeDigarcher, and S. Aylward, “Comparison of vessel segmentations using STAPLE,” in Medical Image Computing And Computer-Assisted Intervention - MICCAI 2005, PT 1, 2005, vol. 3749, pp. 523–530.
[110] S. Aylward, J. Jomier, C. Vivert, V. LeDigarcher, and E. Bullitt, “Spatial graphs for intra-cranial vascular network characterization, generation, and discrimination,” in Medical Image Computing And Computer-Assisted Intervention - MICCAI 2005, PT 1, 2005, vol. 3749, pp. 59–66.
[111] J. Jomier and S. Aylward, “Rigid and deformable vasculature-to-image registration: A hierarchical approach,” in Medical Image Computing And Computer-Assisted Intervention - MICCAI 2004, PT 1, PROCEEDINGS, 2004, vol. 3216, pp. 829–836.
[112] E. Bullitt, I. Jung, K. Muller, G. Gerig, S. Aylward, S. Joshi, K. Smith, W. Lin, and M. Ewend, “Determining malignancy of brain tumors by analysis of vessel shape,” in Medical Image Computing And Computer-Assisted Intervention - MICCAI 2004, PT 2, PROCEEDINGS, 2004, vol. 3217, pp. 645–653.
[113] J. Jomier, D. Wallace, and S. Aylward, “Quantification of retinopathy of prematurity via vessel segmentation,” in Medical Image Computing And Computer-Assisted Intervention - MICCAI 2003, PT 2, 2003, vol. 2879, pp. 620–626.
[114] B. Jolly, M. Van Horn, S. Aylward, and E. Bullitt, “Needle detection and tracking in the TIPS endovascular procedure,” in Medical Image Computing And Computer-Assisted Intervention - MICCAI 2003, PT 2, 2003, vol. 2879, pp. 953–954.
[115] J. Guyon, M. Foskey, J. Kim, Z. Firat, B. Davis, K. Haneke, and S. Aylward, “VETOT, volume estimation and tracking over time: Framework and validation,” in Medical Image Computing And Computer-Assisted Intervention - MICCAI 2003, PT 2, 2003, vol. 2879, pp. 142–149.
[116] Y. Fridman, S. Pizer, S. Aylward, and E. Bullitt, “Segmenting 3D branching tubular structures using cores,” in Medical Image Computing And Computer-Assisted Intervention - MICCAI 2003, PT 2, 2003, vol. 2879, pp. 570–577.
[117] D. Cool, D. Chillet, J. Kim, J. Guyon, M. Foskey, and S. Aylward, “Tissue-based affine registration of brain images to form a vascular density atlas,” in Medical Image Computing And Computer-Assisted Intervention - MICCAI 2003, PT 2, 2003, vol. 2879, pp. 9–15.
[118] D. Chillet, J. Jomier, D. Cool, and S. Aylward, “Vascular atlas formation using a vessel-to-image affine registration method,” in Medical Image Computing And Computer-Assisted Intervention - MICCAI 2003, PT 1, 2003, vol. 2878, pp. 335–342.
[119] E. Bullitt, G. Gerig, S. Aylward, S. Joshi, K. Smith, M. Ewend, and W. Lin, “Vascular attributes and malignant brain tumors,” in Medical Image Computing And Computer-Assisted Intervention - MICCAI 2003, PT 1, 2003, vol. 2878, pp. 671–679.
[120] M. Rosenthal, S. Weeks, S. Aylward, E. Bullitt, and H. Fuchs, “Intraoperative Tracking of Anatomical Structures Using Fluoroscopy and a Vascular Balloon Catheter,” in MICCAI ’01: Proceedings of the 4th International Conference on Medical Image Computing and Computer-Assisted Intervention, London, UK, UK, 2001, pp. 1253–1254.
[121] E. Bullitt and S. Aylward, “Volume Rendering of Segmented Tubular Objects,” in MICCAI ’01: Proceedings of the 4th International Conference on Medical Image Computing and Computer-Assisted Intervention, London, UK, UK, 2001, pp. 161–168.
[122] E. Bullitt and S. Aylward, “Volume rendering of segmented tubular objects,” in Medical Image Computing and Computer-Assisted Intervention–MICCAI 2001, 2001, pp. 161–168.
[123] S. Aylward, S. Weeks, and E. Bullitt, “Analysis of the Parameter Space of a Metric for Registering 3D Vascular Images,” in MICCAI ’01: Proceedings of the 4th International Conference on Medical Image Computing and Computer-Assisted Intervention, London, UK, UK, 2001, pp. 932–939.
[124] E. Bullitt, S. Aylward, A. Liu, J. Stone, S. Mukherji, C. Coffey, G. Gerig, and S. Pizer, “3D graph description of the intracerebral vasculature from segmented MRA and tests of accuracy by comparison with X-ray angiograms,” in Information Processing In Medical Imaging, Proceedings, 1999, vol. 1613, pp. 308–321.
[125] S. Aylward and S. Pizer, “Continuous Gaussian mixture modeling,” in Information Processing In Medical Imaging, 1997, vol. 1230, pp. 176–189. (Honorable mention for Erbsmann Award)
[126] E. Bullitt, A. Liu, S. Aylward, and S. Pizer, “Reconstruction of the intracerebral vasculature from MRA and a pair of projection views,” in Information Processing In Medical Imaging, 1997, vol. 1230, pp. 537–542.
[127] S. Aylward, “Automatic optic nerve sheath measurement in point-of-care ultrasound,” in Medical Ultrasound, and Preterm, Perinatal and Pediatric Image Analysis: First International Workshop, ASMUS 2020, and 5th International Workshop, PIPPI 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4-8, 2020, Proceedings, Springer Nature, vol. 12437, 2020, p. 23.
[128] B. T. Moore, S. P. Montgomery, M. Niethammer, H. Greer, and S. Aylward, “Automatic optic nerve sheath measurement in point-of-care ultrasound,” in Medical Ultrasound, and Preterm, Perinatal and Pediatric Image Analysis: First International Workshop, ASMUS 2020, and 5th International Workshop, PIPPI 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4-8, 2020, Proceedings 1, Springer International Publishing, 2020, pp. 23–32.
[129] X. Han, S. Bakas, R. Kwitt, S. Aylward, H. Akbari, M. Bilello, C. Davatzikos, and M. Niethammer, “Patient-specific registration of preoperative and post-recurrence brain tumor mri scans,” in Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries: 4th International Workshop, BrainLes 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Revised Selected Papers, Part I 4, Springer International Publishing, 2019, pp. 105–114.
[130] H. Greer, S. Gerber, M. Niethammer, R. Kwitt, M. McCormick, D. Chittajallu, N. Siekierski, M. Oetgen, K. Cleary, and S. Aylward, “Scoliosis screening and monitoring using self contained ultrasound and neural networks,” in 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018), IEEE, 2018, pp. 1500–1503.
[131] S. Gerber, M. Jallais, H. Greer, M. McCormick, S. Montgomery, B. Freeman, D. Kane, D. Chittajallu, N. Siekierski, and S. Aylward, “Automatic estimation of the optic nerve sheath diameter from ultrasound images,” in Imaging for Patient-Customized Simulations and Systems for Point-of-Care Ultrasound: International Workshops, BIVPCS 2017 and POCUS 2017, Held in Conjunction with MICCAI 2017, Qu´ebec City, QC, Canada, September 14, 2017, Proceedings, Springer International Publishing, 2017, pp. 113–120.
[132] X. Han, X. Yang, S. Aylward, R. Kwitt, and M. Niethammer, “Efficient registration of pathological images: A joint pca/image-reconstruction approach,” in 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017), IEEE, 2017, pp. 10–14.
[133] M. Jallais, H. Greer, S. Gerber, M. McCormick, D. Chittajallu, N. Siekierski, and S. Aylward, “Ultrasound augmentation: Rapid 3-d scanning for tracking and on-body display,” in Imaging for Patient-Customized Simulations and Systems for Point-of-Care Ultrasound: International Workshops, BIVPCS 2017 and POCUS 2017, Held in Conjunction with MICCAI 2017, Qu´ebec City, QC, Canada, September 14, 2017, Proceedings, Springer International Publishing, 2017, pp. 138–145.
[134] S. Aylward, M. McCormick, H. J. Kang, S. Razzaque, R. Kwitt, and M. Niethammer, “Ultrasound spectroscopy,” in 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI), IEEE, 2016, pp. 1013–1016.
[135] S. E. Shelton, P. A. Dayton, S. Aylward, and F. S. Foster, “The application of acoustic angiography to assess the progression of angiogenesis in a spontaneous mouse model of breast cancer,” in 2016 IEEE International Ultrasonics Symposium (IUS), IEEE, 2016, pp. 1–3.
[136] S. E. Shelton, B. D. Lindsey, R. Gessner, Y. Lee, S. Aylward, H. Lee, E. Cherin, F. S. Foster, and P. A. Dayton, “Acoustic angiography: A new high frequency contrast ultrasound technique for biomedical imaging,” in Sensing and Analysis Technologies for Biomedical and Cognitive Applications 2016, SPIE, vol. 9871, 2016, pp. 75–86.
[137] X. Yang, X. Han, E. Park, S. Aylward, R. Kwitt, and M. Niethammer, “Registration of pathological images,” in Simulation and Synthesis in Medical Imaging: First International Workshop, SASHIMI 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 21, 2016, Proceedings 1, Springer International Publishing, 2016, pp. 97–107.
[138] B. Paniagua, D. Zukic, R. Ortiz, S. Aylward, B. Golden, T. Nguyen, and A. Enquobahrie, “Ultrasound-guided navigation system for orthognathic surgery,” in Augmented Environments for Computer-Assisted Interventions: 10th International Workshop, AE-CAI 2015, Held in Conjunction with MICCAI 2015, Munich, Germany, October 9, 2015. Proceedings 10, Springer International Publishing, 2015, pp. 1–10.
[139] J. Finet, R. Ortiz, J. Andruejol, A. Enquobahrie, J. Jomier, J. Payne, and S. Aylward, “Bender: An open source software for efficient model posing and morphing,” in Biomedical Simulation: 6th International Symposium, ISBMS 2014, Strasbourg, France, October 16-17, 2014. Proceedings 6, Springer International Publishing, 2014, pp. 203–210.
[140] R. Kwitt, S. Razzaque, J. Lowell, and S. Aylward, “Variability sensitivity of dynamic texture based recognition in clinical ct data,” in Medical Imaging 2014: Image Processing, SPIE, vol. 9034, 2014, pp. 521–524.
[141] A. Enquobahrie, V. Shivaprabhu, S. Aylward, J. Finet, K. Cleary, and R. Alterovitz, “Patient-specific port placement for laparoscopic surgery using atlas-based registration,” in Medical Imaging 2013: Image-Guided Procedures, Robotic Interventions, and Modeling, SPIE, vol. 8671, 2013, pp. 422–427.
[142] R. Kwit and S. Aylward, “Structure localization in ultrasound video,” in Conference on Quantitative Medical Imaging, Optica Publishing Group, 2013, QW3G–2.
[143] B. Paniagua, O. Emodi, J. Hill, J. Fishbaugh, L. A. Pimenta, S. Aylward, E. Andinet, G. Gerig, J. Gilmore, J. A. Van Aalst, et al., “3d of brain shape and volume after cranial vault remodeling surgery for craniosynostosis correction in infants,” in Medical Imaging 2013: Biomedical Applications in Molecular, Structural, and Functional Imaging, SPIE, vol. 8672, 2013, pp. 205–212.
[144] V. R. Shivaprabhu, A. Enquobahrie, Z. Mullen, and S. Aylward, “Accelerating ultrasound image analysis research through publicly available database,” in Medical Imaging 2013: Ultrasonic Imaging, Tomography, and Therapy, SPIE, vol. 8675, 2013, pp. 319–325.
[145] M. A. Audette, D. Rivi`ere, C. Law, L. Ibanez, S. Aylward, J. Finet, X. Wu, and M. G. Ewend, “Approach-specific multi-grid anatomical modeling for neurosurgery simulation with public-domain and open-source software,” in Medical Imaging 2011: Visualization, Image-Guided Procedures, and Modeling, SPIE, vol. 7964, 2011, pp. 754–763.
[146] M. Bajura, G. Boverman, J. Tan, G. Wagenbreth, C. M. Rogers, M. Feser, J. Rudati, A. Tkachuk, S. Aylward, and P. Reynolds, “Imaging integrated circuits with x-ray microscopy,” in Proc. 36th GOMACTech Conf, 2011, pp. 1–4.
[147] D. Pace, A. Enquobahrie, P. Reynolds, J. Jomier, E. Bullitt, and S. Aylward, “Tubetk: An open-source toolkit of algorithms operating on images of tubes,” Int J CARS, vol. 7, no. 1, S71–S88, 2012.
[148] D. Testi, D. Giunchi, G. Clapworthy, S. Aylward, X. Planes, R. Christie "New Interactive Visualisation of Multiscale Biomedical Data", SIGGRAPH, 2012 (Poster)
[149] D. F. Pace, A. Enquobahrie, H. Yang, S. Aylward, and M. Niethammer, “Deformable image registration of sliding organs using anisotropic diffusive regularization,” in Biomedical Imaging: From Nano to Macro, 2011 IEEE International Symposium on, 2011, pp. 407–413.
[150] D. F. Pace, M. Niethammer, and S. Aylward, “Sliding geometries in deformable image registration,” in MICCAI’11: Proceedings of the Third international conference on Abdominal Imaging, Berlin, Heidelberg, 2011, pp. 141–148.
[151] D. Testi, G. Clapworthy, S. Aylward, A. Frangi, R. Christie "Interactive visualization of multiscale biomedical data: an integrated approach" VisWeek 2011
[152] M. A. Audette, D. Rivière, C. Law, L. Ibanez, S. Aylward, J. Finet, X. Wu, and M. G. Ewend, “Approach-specific multi-grid anatomical modeling for neurosurgery simulation with public-domain and open-source software,” in Proceedings-Society of Photo-Optical Instrumentation Engineers, 2011, vol. 7964.
[153] R. C. Gessner, R. Kothadia, S. Feingold, S. Aylward, E. Bullitt, and P. A. Dayton, “Blood vessel structural morphology derived from 3D dual-frequency ultrasound images,” in Ultrasonics Symposium (IUS), 2010 IEEE, 2010, pp. 209–212.
[154] J. Lee, J. Jomier, S. Aylward, M. Tyszka, S. Moy, J. Lauder, and M. Styner, “Evaluation of atlas based mouse brain segmentation,” SPIE Medical Imaging, 2009, pp. 725943–9
[155] J. Jomier, S. Aylward, C. Marion, J. Lee, and M. Styner, “A digital archiving system and distributed server-side processing of large datasets,” in SPIE Medical Imaging, 2009, pp. 726413–726413–8.
[156] Z. Zhao, D. K. Wallace, S. F. Freedman, and S. Aylward, “A tool for computer-aided diagnosis of retinopathy of prematurity,” in Proceedings of SPIE, 2008, vol. 6915, p. 69152W–69152W–7.
[157] I. Oguz, J. Cates, T. Fletcher, R. Whitaker, D. Cool, S. Aylward, and M. Styner, “Cortical correspondence using entropy-based particle systems and local features,” in Biomedical Imaging: From Nano to Macro, 2008. ISBI 2008. 5th IEEE International Symposium on, 2008, pp. 1637–1640.
[158] S. Aylward, J. Jomier, S. Barre, B. Davis, and L. Ibanez, “Optimizing itk’s registration methods for multi-processor, shared-memory systems,” in Proceedings of the MICCAI Workshop on Open Source and Open Data, 2007.
[159] P. Cheng, L. Ibanez, D. Gobbi, K. Gary, S. Aylward, J. Jomier, A. Enquobahrie, H. Zhang, H. Kim, M. B. Blake, and others, “The Image-Guided Surgery ToolKit IGSTK: an open source C++ software toolkit,” in Proceedings of SPIE, 2007, vol. 6516, p. 65160A.
[160] L. Ibanez, R. Avila, and S. Aylward, “Open source and open science: how it is changing the medical imaging community,” in Biomedical Imaging: Nano to Macro, 2006. 3rd IEEE International Symposium on, 2006, pp. 690–693.
[161] P. Cheng, H. Zhang, H. Kim, K. Gary, M. B. Blake, D. Gobbi, S. Aylward, J. Jomier, A. Enquobahrie, R. Avila, and others, “IGSTK: Framework and example application using an open source toolkit for image-guided surgery applications,” in Proceedings of SPIE, 2006, vol. 6141, p. 61411Y.
[162] L. Ibáñez, R. Avila, S. Aylward "Open Source and Open Science: How it is changing the medical imaging community" ISBI April, 2006
[163] L. Ibanez, G. Kindlmann, and S. Aylward, “Hot topics in 3D medical image visualization,” in SIGGRAPH ’05: ACM SIGGRAPH 2005 Courses, New York, NY, USA, 2005, p. 1.
[164] L. Ibanez, J. Jomier, D. Gobbi, R. Avila, M. B. Blake, H. S. Kim, K. Gary, S. Aylward, and K. Cleary, “IGSTK: A State machine architecture for an open source software toolkit for image-guided surgery applications,” in MICCAI Open-Source Workshop, 2005.
[165] M. Blake, K. Cleary, S. Ranjan, K. Gary, J. Jomier, S. Aylward, L. Ibanez, "Component-Based Design and Development for Robust Medical Applications," High Confidence Medical Device Software and Systems (HCMDSS) Workshop, Jun-2005
[166] D. Dalal, J. Jomier, and S. Aylward, “A DICOM-based Software Infrastructure for Data Archiving,” in SPIE Medical Imaging, 2005.
[167] E. Bullitt and S. Aylward, “Visualizing blood vessel trees in three dimensions: clinical applications,” in Proceedings of SPIE, 2005, vol. 5749, pp. 67–78.
[168] K. Gary, M. B. Blake, S. Aylward, J. Jomier, D. Gobbi, H.-s. Kim, R. Avila, L. Ibanez, and K. Cleary, “Igstk: Development process and project management best practices for an open source software toolkit for image-guided surgery applications,” in MICCAI Open-Source Workshop, 2005
[169] J. Jomier, E. Rault, and S. Aylward, “Automatic quantification of pupil dilation under stress,” in Biomedical Imaging: Nano to Macro, 2004. IEEE International Symposium on, 2004, pp. 249–252.
[170] J. Jomier, S. Weeks, and S. Aylward, “Vascular image registration for intra-operative 3d ultrasound annotation,” in Computer-Assisted Radiology and Surgery, International Congress Series, 2004, p. 1308.
[171] L. Ibánez, L. Ng, J. Gee, and S. Aylward, “Registration patterns: the generic framework for image registration of the Insight Toolkit,” in Biomedical Imaging, 2002. Proceedings. 2002 IEEE International Symposium on, 2002, pp. 345–348.
[172] S. Aylward, J. Jomier, J. P. Guyon, and S. Weeks, “Intra-operative 3D ultrasound augmentation,” in Biomedical Imaging, 2002. Proceedings. 2002 IEEE International Symposium on, 2002, pp. 421–424.
[173] E. Bullitt, S. Aylward, “Patient-specific vascular models for endovascular and open operative procedures.” Proceedings of the 2nd International Mt. BANDAI Symposium for Neuroscience, Southern Tohoku Research Institute for Neuroscience, Fukushima Japan, International Congress Series, Elsevier, vol. 1247, 2002, pp. 129-138.
[174] E. Bullitt and S. Aylward, “Analysis of Time-Varing Images Using 3-D Vascular Models,” in AIPR ’01: Proceedings of the 30th on Applied Imagery Pattern Recognition Workshop, Washington, DC, USA, 2001, p. 9-14 (Keynote Address)
[175] B. M. Hemminger, E. Cole, S. Zong, M. J. Yaffe, S. Aylward, A. D. A. Maidment, M. B. Williams, L. T. Niklason, R. E. Johnston, and E. D. Pisano, “Evaluation of digital processing methods for the display of digital mammography,” in Proceedings of SPIE, 1999, vol. 3658, p. 382.
[176] S. Aylward, B. Hemminger , D. Pisano, “Mixture Modeling for Digital Mammogram Display and Analysis,” International Workshop on Digital Mammography, June 1998. pp. 305-312
[177] S. Aylward, S. Pizer, D. Eberly, and E. Bullitt, “Intensity Ridge and Widths for Tubular Object Segmentation and Description,” in MMBIA ’96: Proceedings of the 1996 Workshop on Mathematical Methods in Biomedical Image Analysis (MMBIA ’96), Washington, DC, USA, 1996, p. 131.
[178] S. Aylward, J. Coggins, T. Cizadlo, and N. Andreasen, “The effects of magnetic resonance image inhomogeneities on automated tissue classification,” in AAAI Spring Symposium on Applications of Computer Vision to Medical Image Processing, 1994.
[179] S. Aylward, J. Coggins, T. Cizadlo, and N. Andreasen, “Spatially invariant classification of tissues in MR images,” in Proceedings of the Third Conference on Visualization in Biomedical Computing. SPIE, 1994.
[180] D. C. St. Clair, G. Peterson, S. Aylward, and W. Bond, “Design techniques for the control of errors in backpropagation neural networks,” in Proceedings of the SPIE Conference on the Application of Neural Networks, Orlando Florida, 1993, pp. 372–383.
[181] D. C. St. Clair, W. E. Bond, A. K. Rigler, and S. Aylward, “An evaluation of learning performance in backpropagation neural networks and decision-tree classifier systems,” in SAC ’92: Proceedings of the 1992 ACM/SIGAPP symposium on Applied computing, New York, NY, USA, 1992, pp. 636–642.
[182] W. Bond, D. St. Clair, M. Amirfathi, C. Merz, S. Aylward, "Neural Network Analysis of Nondestructive Evaluation Patterns," Proceedings of the Government Neural Network Applications Conference, WPAFB, Dayton, OH, 1992; reprinted with permission from Proceedings of the Symposium on Applied Computing, Kansas City, MO, 1992. pp. 643-650
[183] W. E. Bond, D. C. St. Clair, M. M. Amirfathi, C. J. Merz, and S. Aylward, “Neural network analysis of nondestructive evaluation patterns,” in SAC ’92: Proceedings of the 1992 ACM/SIGAPP symposium on Applied computing, New York, NY, USA, 1992, pp. 643–650.
[184] S. Aylward, D. St. Clair, W. Bond, B. Flachsbart, A. Rigler, "One Dimensional Search Strategies for Conjugate Gradient Training of Backpropagation Neural Networks," Proceedings of the Artificial Neural Networks in Engineering Conference, St. Louis, MO, 1992. pp. 197-202
[185] R. Anderson, S. Aylward, “Lab Testing Neural Networks for Improved Aircraft Onboard-Diagnostics on Flight-Ready Hardware,” Proceedings of the Annual Reliability and Maintenance Symposium, 1993. pp. 404-410 (Best Paper Award)
[186] St. Clair, W. Bond, A. Rigler, S. Aylward, "Evaluation of Neural Network and Decision Tree Classifier System Performance Using Learning Accuracy Techniques," Proceedings of the Artificial Neural Networks in Engineering Conference, St. Louis, MO, 1991. pp. 161-166
[187] S. Aylward and R. Anderson, “An algorithm for neural network architecture generation,” in AIAA, Computing in Aerospace Conference, 8 th, Baltimore, MD, 1991, p. 1991.
[188] S. Aylward, L. Sheckler, R. Anderson, J. Urnes, "Application of Neural Networks to In-Flight Aircraft Diagnostics," Proceedings of the Artificial Neural Networks in Engineering Conference, St. Louis, MO, 1991. pp. 663-668
[189] R. Roshankhah, Y. Karbalaeisadegh, H. Greer, F. Mento, G. Soldati, A. Smargiassi, R. Inchingolo, E. Torri, S. Aylward, L. Demi, M. Muller, “Automated segmentation and scoring of lung ultrasound images of covid-19 patients,” The Journal of the Acoustical Society of America, vol. 148, no. 4, pp. 2735–2735, 2020.
[190] T. Czernuszewicz, V. Papadopoulou, J. D. Rojas, R. Rajamahendiran, J. Perdomo, J. Butler, M. Harlacher, G. O’Connell, D. Zukic, P. A. Dayton, S. Aylward, “A preclinical ultrasound platform for widefield 3d imaging of rodent tumors,” Cancer Research, vol. 79, no. 13 Supplement, pp. 1955-1955, 2019.
[191] J. D. Rojas, V. Papadopoulou, T. Czernuszewicz, R. Rajamahendiran, A. Chytil, Y.-C. Chiang, D. Chong, V. L. Bautch, W. K. Rathmell, S. Aylward, R. Gessner, P. Dayton, “Early treatment response detected in a murine clear cell renal cell carcinoma model in response to combination therapy with antiangiogenic and notch inhibition therapy using a non-invasive imaging tool,” Cancer Research, vol. 79, no. 13 Supplement, pp. 1958–1958, 2019.
[192] X. Planes, V. Barbarito, D. Testi, G. Clapworthy, S. Aylward and R. Christie "MultiScale exemplary problems" VPH 2012
[193] D. Testi, D. Giunchi, J. Finet and S. Aylward "Spatial and temporal multiscale interactive visualization: two prototypes" VPH 2012
[194] D. Testi, G. Clapworthy, X. Planes, R. Christie and S. Aylward "VPH challenges: a solution to interactive visualisation of biomedical data" VPH 2012
[195] D. Testi, G. Clapworthy, S. Aylward, A. Frangi, and R. Christie, “Interactive visualization of multiscale biomedical data: An integrated approach,” in Proceedings of the 1st IEEE Symposium on Biological Data Visualization (BioVis), 2011, pp. 3–4.
[196] D. Wallace, J. Jomier, S. Aylward, M. Landers, “Computer Automated Quantification of Plus Disease in Retinopathy of Prematurity.” American Association for Pediatric Ophthalmology and Strabismus Meeting, March, 2002
[197] S. Weeks, K. Wilber, S. Aylward, “Volume estimations using conventional hand tracing techniques vs. automatic thresholding techniques: Can we be more accurate and save time?” in Proceedings of the Radiological Society of North America, Chicago IL, Nov. 2001
[198] A. Mackelfresh, S. Aylward, S. Weeks, “Three dimensional surgical planning on the PC.” Department of Computer Science Research Symposium, October, 2001
[199] M. Rosenthal, S. Weeks, S. Aylward, E. Bullitt, H. Fuchs, “Intraoperative tracking of anatomical structures using fluoroscopy and a vascular balloon catheter.” Medical Image Computing and Computer-Assisted Intervention, vol. 2208 of Lecture Notes in Computer Science, Springer-Verlag, Berlin, 2001 pp. 1253-1254
[200] M. Rosenthal, S. Weeks, S. Aylward, E. Bullitt, H. Fuchs, “Three-Dimensional Intraoperative Visualization for the TIPS Intervention.” Medicine Meets Virtual Reality, 2001.
[201] SM. Weeks, S. Aylward, E. Bullitt, M. Rosenthal, H. Fuchs, PF. Jaques, J. Sandhu, R. Shrestha, JH. Fair, MW. Johnson, MA. Mauro. “Computer-Assisted Three-Dimensional Display of Hepatic Vascularity for Intraoperative Guidance during TIPS Formation and Preoperative Planning Prior to Living Related Liver Transplantation.” SCVIR, San Antonio TX, March 2001.
[202] S. Aylward, “A general method for representing tubular objects in ND data.” IEEE Visualization Conference Exhibit, 2000
[203] S. Aylward, E. Bullitt, “Vessel Visualization for Neurosurgical Planning.” Medtronic Scientific Exhibit, Annual Conference of American Association of Neurological Surgeons, San Francisco, April, 2000.
[204] E. Bullitt, S. Aylward, E. Bernard, G. Gerig “Surgical planning of AVMs on the home computer.” Neurosurgical Society of America, June, 2000.
[205] S. Aylward, E. Bullitt, “Preoperative planning via vessel visualizations.” Medtronic Scientific Exhibit, Congress of Neurological Surgeons, San Antonio, TX, September, 2000.
[206] E. Bullitt, S. Aylward, L. Ibanez, A. Liu, J. Capowski, S. Pizer “Methods of vascular imaging.” NIH Biomedical Imaging Symposium: Visualizing the Future of Biology and Medicine June 1999
[207] S. Aylward, E. Bullitt, S. Pizer, “Vtree3D: Fast and Effective Visualization of Vessels, Aneurysms, Bronchial Tubes, and Bones from 3D Medical Data.” RSNA, Chicago, Nov.1998 (Abstract and Scientific Exhibit)
[208] R. Gerstle, S. Aylward, S. Mukherji, S. Schiro, and K. Muller, “Neural network and statistical analysis of proton mr spectroscopy in the diagnosis of laryngeal carcinoma,” in Radiology, Radiological Soc North Amer 20th And Northampton Sts, Easton, PA 18042 USA, vol. 209, 1998, pp. 151–151.
[209] E. Bullitt, S. Aylward, A. Liu, S. Pizer “Advances in Vascular Imaging,” Duke Winter Conference, March, 1998
[210] E. Bullitt, A. Liu, S. Aylward, S. Pizer, “3D Reconstruction of Aneurysms from Projection Angiograms,” Presented at Joint Meeting of the Society of British Neurosurgeons and the Neurosurgical Society of America, Cambridge, England, April, 1997