Selected Publications

Publication Summary by Year

2025

• VISTA3D: A unified segmentation foundation model for 3D medical imaging - CVPR 2025 (20 citations)
• MAISI: Medical AI for synthetic imaging - WACV 2025 (32 citations)
• Segment anything model (SAM) for digital pathology - IS&T 2025 (266 citations)
• Touchstone benchmark: Evaluating AI algorithms for medical segmentation - NeurIPS 2024 (22 citations)

2024

• MONAI Label: A framework for AI-assisted interactive labeling of 3D medical images - Medical Image Analysis (132 citations)
• Universal and extensible language-vision models for organ segmentation and tumor detection - Medical Image Analysis (31 citations)
• All-in-SAM: From weak annotation to pixel-wise nuclei segmentation - Journal of Physics: Conference Series (49 citations)
• HATS: Hierarchical adaptive taxonomy segmentation for panoramic pathology image analysis - MICCAI 2024 (4 citations)
• Deep conditional generative model for longitudinal single-slice abdominal CT harmonization - Journal of Medical Imaging (4 citations)

2023

• Transforming medical imaging with Transformers? A comparative review - Medical Image Analysis (300 citations)
• CLIP-driven universal model for organ segmentation and tumor detection - ICCV 2023 (290 citations)
• SwinUNETR-v2: Stronger swin transformers with stagewise convolutions - MICCAI 2023 (126 citations)
• UNesT: Local spatial representation learning with hierarchical transformer - Medical Image Analysis (94 citations)
• AbdomenAtlas-8K: Annotating 8,000 CT volumes for multi-organ segmentation - NeurIPS 2023 (57 citations)
• Semantic-aware contrastive learning for multi-object medical image segmentation - IEEE JBHI (8 citations)
• Democratizing pathological image segmentation with lay annotators - MICCAI 2023 (8 citations)
• Time-distance vision transformers in lung cancer diagnosis - Medical Imaging 2023 (22 citations)

2022

• UNETR: Transformers for 3D medical image segmentation - WACV 2022 (3013 citations)
• Self-supervised pre-training of swin transformers for 3D medical image analysis - CVPR 2022 (892 citations)
• MONAI: An open-source framework for deep learning in healthcare - arXiv preprint (858 citations)
• Reducing uncertainty in cancer risk estimation for patients with indeterminate pulmonary nodules - Computers in Biology and Medicine (18 citations)
• Multi-contrast computed tomography healthy kidney atlas - Computers in Biology and Medicine (11 citations)
• Label efficient segmentation of single slice thigh CT with two-stage pseudo labels - Journal of Medical Imaging (15 citations)
• Extending the value of routine lung screening CT with quantitative body composition assessment - SPIE 2022 (12 citations)

2021

• Swin UNETR: Swin transformers for semantic segmentation of brain tumors in MRI images - MICCAI BrainLesion Workshop (1864 citations)
• Deterministic inverse design of Tamm plasmon thermal emitters with multi-resonant control - Nature Materials (92 citations)
• High-resolution 3D abdominal segmentation with random patch network fusion - Medical Image Analysis (75 citations)
• Body part regression with self-supervision - IEEE Transactions on Medical Imaging (32 citations)
• Cancer risk estimation combining lung screening CT with clinical data elements - Radiology: Artificial Intelligence (18 citations)
• RAP-Net: Coarse-to-fine multi-organ segmentation with single random anatomical prior - ISBI 2021 (16 citations)
• Validation and estimation of spleen volume via computer-assisted segmentation - Journal of Medical Imaging (12 citations)
• Renal cortex, medulla and pelvicaliceal system segmentation on arterial phase CT images - Medical Imaging 2021 (12 citations)
• Phase identification for dynamic CT enhancements with generative adversarial network - Medical Physics (8 citations)

2020

• Time-distanced gates in long short-term memory networks - Medical Image Analysis (43 citations)
• Learning from dispersed manual annotations with an optimized data weighting policy - Journal of Medical Imaging (4 citations)
• Multi-path xD recurrent neural networks for collaborative image classification - Neurocomputing (15 citations)
• Deep multi-task prediction of lung cancer and cancer-free progression - Medical Imaging 2020 (15 citations)
• Automatic labeling of cortical sulci using spherical convolutional neural networks - ISBI 2020 (14 citations)
• Prediction of type II diabetes onset with computed tomography and electronic medical records - Workshop on Clinical Image-Based Procedures (21 citations)
• Contrast phase classification with a generative adversarial network - Medical Imaging 2020 (19 citations)
• Semi-supervised multi-organ segmentation through quality assurance supervision - SPIE 2020 (18 citations)

2019 and Earlier

• Distanced LSTM: Time-distanced gates in long short-term memory models for lung cancer detection - MLMI Workshop (61 citations)
• Stochastic tissue window normalization of deep learning on computed tomography - Journal of Medical Imaging (28 citations)
• Improving splenomegaly segmentation by learning from heterogeneous multi-source labels - SPIE 2019 (23 citations)
• More knowledge is better: Cross-modality volume completion and 3D+2D segmentation - MICCAI 2018 (23 citations)