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 | 21 | 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 | 19 | 2022 |
Atrial fibrillation detection and ECG classification based on CNN-BiLSTM J Wang, W Li arXiv preprint arXiv:2011.06187, 2020 | 18 | 2020 |
Promise: Prompt-driven 3d medical image segmentation using pretrained image foundation models H Li, H Liu, D Hu, J Wang, I Oguz arXiv preprint arXiv:2310.19721, 2023 | 6 | 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 | 6 | 2022 |
Roadrunner: Autonomous intersection management with dynamic lane assignment MIC Wang, J Wang, CHP Wen, HJ Chao 2020 IEEE 23rd International Conference on Intelligent Transportation …, 2020 | 6 | 2020 |
Assessing Test-time Variability for Interactive 3D Medical Image Segmentation with Diverse Point Prompts H Li, H Liu, D Hu, J Wang, I Oguz arXiv preprint arXiv:2311.07806, 2023 | 3 | 2023 |
MAP: Domain Generalization via Meta-Learning on Anatomy-Consistent Pseudo-Modalities D Hu, H Li, H Liu, X Yao, J Wang, I Oguz International Conference on Medical Image Computing and Computer-Assisted …, 2023 | 3 | 2023 |
Democratizing pathological image segmentation with lay annotators via molecular-empowered learning R Deng, Y Li, P Li, J Wang, LW Remedios, S Agzamkhodjaev, Z Asad, ... International Conference on Medical Image Computing and Computer-Assisted …, 2023 | 3 | 2023 |
SSL^ 2: Self-Supervised Learning meets Semi-Supervised Learning: Multiple Sclerosis Segmentation in 7T-MRI from large-scale 3T-MRI J Wang, H Li, H Liu, D Hu, D Lu, K Yoon, K Barter, F Bagnato, I Oguz arXiv preprint arXiv:2303.05026; SPIE Medical Imaging 2023, 2023 | 3 | 2023 |
Novel OCT mosaicking pipeline with Feature-and Pixel-based registration J Wang, H Li, D Hu, YK Tao, I Oguz arXiv preprint arXiv:2311.13052, 2023 | 1 | 2023 |
Deep angiogram: trivializing retinal vessel segmentation D Hu, X Yao, J Wang, YK Tao, I Oguz Medical Imaging 2023: Image Processing 12464, 656-660, 2023 | 1 | 2023 |
Novel application of the attention mechanism on medical image harmonization X Yao, A Lou, H Li, D Hu, D Lu, H Liu, J Wang, Z Stoebner, H Johnson, ... Medical Imaging 2023: Image Processing 12464, 184-194, 2023 | 1 | 2023 |
Self-semi-supervised learning to learn from noisylabeled data J Wang, Y Ma, S Gao arXiv preprint arXiv:2011.01429, 2020 | 1 | 2020 |
PRISM: A Promptable and Robust Interactive Segmentation Model with Visual Prompts H Li, H Liu, D Hu, J Wang, I Oguz arXiv preprint arXiv:2404.15028, 2024 | | 2024 |
CATS v2: Hybrid encoders for robust medical segmentation H Li, H Liu, D Hu, X Yao, J Wang, I Oguz Medical Imaging 2024: Image Processing 12926, 130-137, 2024 | | 2024 |
Self-Supervised CSF Inpainting for Improved Accuracy Validation of Cortical Surface Analyses J Wang, K Larson, I Oguz Medical Imaging with Deep Learning, 170-189, 2024 | | 2024 |
VesselMorph: Domain-Generalized Retinal Vessel Segmentation via Shape-Aware Representation D Hu, H Li, H Liu, X Yao, J Wang, I Oguz arXiv preprint arXiv:2307.00240, 2023 | | 2023 |
Self-Supervised CSF Inpainting with Synthetic Atrophy for Improved Accuracy Validation of Cortical Surface Analyses J Wang, KE Larson, I Oguz arXiv preprint arXiv:2303.05777; MIDL 2023, 2023 | | 2023 |
Using Phase Patterns to Differentiate Lesion Severity in Multiple Sclerosis B Hernandez, HF Kazimuddin, J Wang, MA Clarke, T Vinarsky, JE Eaton, ... ACTRIMS Forum 2023 283 (https://doi.org/10.1177/1352458523116943), Posters …, 2023 | | 2023 |