| Applications of a deep learning method for anti-aliasing and super-resolution in MRI C Zhao, M Shao, A Carass, H Li, BE Dewey, LM Ellingsen, J Woo, ... Magnetic resonance imaging 64, 132-141, 2019 | 95 | 2019 |
| CrossMoDA 2021 challenge: Benchmark of cross-modality domain adaptation techniques for vestibular schwannoma and cochlea segmentation R Dorent, A Kujawa, M Ivory, S Bakas, N Rieke, S Joutard, B Glocker, ... Medical Image Analysis 83, 102628, 2023 | 66 | 2023 |
| Biomedical image analysis competitions: The state of current participation practice M Eisenmann, A Reinke, V Weru, MD Tizabi, F Isensee, TJ Adler, ... arXiv preprint arXiv:2212.08568, 2022 | 26 | 2022 |
| Moddrop++: A dynamic filter network with intra-subject co-training for multiple sclerosis lesion segmentation with missing modalities H Liu, Y Fan, H Li, J Wang, D Hu, C Cui, HH Lee, H Zhang, I Oguz International Conference on Medical Image Computing and Computer-Assisted …, 2022 | 24 | 2022 |
| Cats: complementary CNN and transformer encoders for segmentation H Li, D Hu, H Liu, J Wang, I Oguz 2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI), 1-5, 2022 | 24 | 2022 |
| Cosst: Multi-organ segmentation with partially labeled datasets using comprehensive supervisions and self-training H Liu, Z Xu, R Gao, H Li, J Wang, G Chabin, I Oguz, S Grbic IEEE Transactions on Medical Imaging, 2024 | 18 | 2024 |
| LIFE: a generalizable autodidactic pipeline for 3D OCT-A vessel segmentation D Hu, C Cui, H Li, KE Larson, YK Tao, I Oguz Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 17 | 2021 |
| MRI subcortical segmentation in neurodegeneration with cascaded 3D CNNs H Li, H Zhang, H Johnson, JD Long, JS Paulsen, I Oguz Medical Imaging 2021: Image Processing 11596, 236-243, 2021 | 16 | 2021 |
| Promise: Prompt-driven 3d medical image segmentation using pretrained image foundation models H Li, H Liu, D Hu, J Wang, I Oguz 2024 IEEE International Symposium on Biomedical Imaging (ISBI), 1-5, 2024 | 12 | 2024 |
| False negative/positive control for sam on noisy medical images X Yao, H Liu, D Hu, D Lu, A Lou, H Li, R Deng, G Arenas, B Oguz, ... arXiv preprint arXiv:2308.10382, 2023 | 11 | 2023 |
| Human brain extraction with deep learning H Li, Q Zhu, D Hu, M Gunnala, H Johnson, O Sherbini, F Gavazzi, ... Medical Imaging 2022: Image Processing 12032, 120321D-1, 2022 | 10 | 2022 |
| Longitudinal subcortical segmentation with deep learning H Li, H Zhang, H Johnson, JD Long, JS Paulsen, I Oguz Medical Imaging 2021: Image Processing 11596, 73-81, 2021 | 10 | 2021 |
| Machine learning for automated calculation of vestibular schwannoma volumes ND Cass, NR Lindquist, Q Zhu, H Li, I Oguz, KO Tawfik Otology & Neurotology 43 (10), 1252-1256, 2022 | 9 | 2022 |
| Unsupervised cross-modality domain adaptation for segmenting vestibular schwannoma and cochlea with data augmentation and model ensemble H Li, D Hu, Q Zhu, KE Larson, H Zhang, I Oguz International MICCAI Brainlesion Workshop, 518-528, 2021 | 9 | 2021 |
| Segmentation of new MS lesions with tiramisu and 2.5 D stacked slices H Zhang, H Li, I Oguz MSSEG-2 challenge proceedings: Multiple sclerosis new lesions segmentation …, 2021 | 9 | 2021 |
| Generalizing MRI subcortical segmentation to neurodegeneration H Li, H Zhang, D Hu, H Johnson, JD Long, JS Paulsen, I Oguz Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro …, 2020 | 9 | 2020 |
| Medical Image Segmentation Using Deep Learning H Liu, D Hu, H Li, I Oguz Machine Learning for Brain Disorders, 391-434, 2023 | 8 | 2023 |
| Self-supervised test-time adaptation for medical image segmentation H Li, H Liu, D Hu, J Wang, H Johnson, O Sherbini, F Gavazzi, R D’Aiello, ... International Workshop on Machine Learning in Clinical Neuroimaging, 32-41, 2022 | 8 | 2022 |
| Assessing test-time variability for interactive 3d medical image segmentation with diverse point prompts H Li, H Liu, D Hu, J Wang, I Oguz 2024 IEEE International Symposium on Biomedical Imaging (ISBI), 1-5, 2024 | 6 | 2024 |
| Domain generalization for retinal vessel segmentation with vector field transformer D Hu, H Li, H Liu, I Oguz International Conference on Medical Imaging with Deep Learning, 552-564, 2022 | 5 | 2022 |
