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Gleason grading of prostate histology utilizing manifold regularization via statistical shape model of manifolds.

, and . Medical Imaging: Computer-Aided Diagnosis, volume 8315 of SPIE Proceedings, page 83151J. SPIE, (2012)

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Anatomy-driven multiple trajectory planning (ADMTP) of intracranial electrodes for epilepsy surgery., , , , , , , , , and . Int. J. Comput. Assist. Radiol. Surg., 12 (8): 1245-1255 (2017)MAPPING: Model Average with Post-processing for Stroke Lesion Segmentation., , , , , , and . CoRR, (2022)Medial axis based statistical shape model (MASSM): Applications to 3D prostate segmentation on MRI., , and . ISBI, page 1463-1466. IEEE, (2011)Towards Uncertainty Quantification for Electrode Bending Prediction in Stereotactic Neurosurgery., , , , , , , , , and . ISBI, page 674-677. IEEE, (2020)Identifying in vivo DCE MRI parameters correlated with ex vivo quantitative microvessel architecture: A radiohistomorphometric approach., , , , , , , , and . Medical Imaging: Digital Pathology, volume 8676 of SPIE Proceedings, page 867604. SPIE, (2013)A Machine Learning Approach to Predict Instrument Bending in Stereotactic Neurosurgery., , , , , , , , , and 1 other author(s). MICCAI (4), volume 11073 of Lecture Notes in Computer Science, page 238-246. Springer, (2018)MatchSeg: Towards Better Segmentation via Reference Image Matching., , , , , and . CoRR, (2024)Spectral embedding-based registration (SERg) for multimodal fusion of prostate histology and MRI., , , , , , , , , and . Medical Imaging: Image Processing, volume 9034 of SPIE Proceedings, page 90343P. SPIE, (2014)TorchIO: a Python library for efficient loading, preprocessing, augmentation and patch-based sampling of medical images in deep learning., , and . CoRR, (2020)ARHNet: Adaptive Region Harmonization for Lesion-Aware Augmentation to Improve Segmentation Performance., , , , , and . MLMI@MICCAI (2), volume 14349 of Lecture Notes in Computer Science, page 377-386. Springer, (2023)