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 | 22 | 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 | 21 | 2022 |
Unsupervised denoising of retinal OCT with diffusion probabilistic model D Hu, YK Tao, I Oguz Medical Imaging 2022: Image Processing 12032, 25-34, 2022 | 20 | 2022 |
Real-time OCT image denoising using a self-fusion neural network JJ Rico-Jimenez, D Hu, EM Tang, I Oguz, YK Tao Biomedical Optics Express 13 (3), 1398-1409, 2022 | 19 | 2022 |
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 |
Human brain extraction with deep learning H Li, Q Zhu, D Hu, MR Gunnala, H Johnson, O Sherbini, F Gavazzi, ... Medical Imaging 2022: Image Processing 12032, 369-375, 2022 | 9 | 2022 |
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 |
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 | 8 | 2021 |
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 | 7 | 2023 |
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 | 7 | 2023 |
Medical image segmentation using deep learning H Liu, D Hu, H Li, I Oguz Machine Learning for Brain Disorders, 391-434, 2023 | 7 | 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 | 7 | 2022 |
Retinal OCT denoising with pseudo-multimodal fusion network D Hu, JD Malone, Y Atay, YK Tao, I Oguz Ophthalmic Medical Image Analysis: 7th International Workshop, OMIA 2020 …, 2020 | 7 | 2020 |
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 |
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 | 4 | 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 |
SSL2 Self-Supervised Learning meets semi-supervised learning: multiple clerosis 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 Medical Imaging 2023: Image Processing 12464, 126-136, 2023 | 3 | 2023 |
Intraoperative spectrally encoded coherence tomography and reflectometry (iSECTR) for ophthalmic surgical guidance MJ Ringel, EM Tang, D Hu, I Oguz, YK Tao Optical Coherence Tomography and Coherence Domain Optical Methods in …, 2021 | 3 | 2021 |
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 | 2 | 2023 |
COLosSAL: A Benchmark for Cold-Start Active Learning for 3D Medical Image Segmentation H Liu, H Li, X Yao, Y Fan, D Hu, BM Dawant, V Nath, Z Xu, I Oguz International Conference on Medical Image Computing and Computer-Assisted …, 2023 | 2 | 2023 |