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Modern medical images contain vast amounts of anatomical information. Much of this information is accessible to diagnostic radiologists, in part because people (in contrast to computers) are very good at image interpretation. The anatomical information latent in such images is also valuable for disease and neuroscience research, as well as for drug trials. The quantitative analysis of medical images by computer, however, remains challenging. Among the most basic capabilities of medical image analysis are segmentation , the process of assigning labels to structures in images, and registration , the process of placing different images into anatomical agreement.
My work has focused primarily on the analysis of structural and functional MRI, including segmentation and registration of MRI, with some emphasis on applications in image-guided surgery. The figure on the upper right illustrates the white matter surface of a brain that was segmented from MRI using Adaptive Segmentation of MRI (the "EM Segmenter") .
My work has focused primarily on the analysis of structural and functional MRI, including segmentation and registration of MRI, with some emphasis on applications in image-guided surgery. The figure on the upper right illustrates the white matter surface of a brain that was segmented from MRI using Adaptive Segmentation of MRI (the "EM Segmenter") .
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论文共 330 篇作者统计合作学者相似作者
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Malika Sanhinova,Nazim Haouchine,Steve D. Pieper,William M. Wells III,Tracy A. Balboni,Alexander Spektor,Mai Anh Huynh, Jeffrey P. Guenette, Bryan Czajkowski, Sarah Caplan, Patrick Doyle, Heejoo Kang,
CoRR (2024)
Reuben Dorent,Erickson Torio,Nazim Haouchine, Colin Galvin, Sarah Frisken,Alexandra Golby,Tina Kapur,William Wells
arxiv(2024)
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Parikshit Juvekar,Reuben Dorent, Fryderyk Kögl,Erickson Torio, Colton Barr,Laura Rigolo, Colin Galvin,Nick Jowkar,Anees Kazi,Nazim Haouchine, Harneet Cheema,Nassir Navab,
Scientific datano. 1 (2024): 494-494
INFORMATION PROCESSING IN MEDICAL IMAGING, IPMI 2023 (2023): 576-587
MEDICAL IMAGE COMPUTING AND COMPUTER ASSISTED INTERVENTION, MICCAI 2023, PT X (2023): 448-458
Machine Learning in Health Care (2023): 788-803
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MEDICAL IMAGE COMPUTING AND COMPUTER ASSISTED INTERVENTION, MICCAI 2023, PT IX (2023): 227-237
INFORMATION PROCESSING IN MEDICAL IMAGING, IPMI 2023 (2023): 457-470
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