| SDFN: Segmentation-based deep fusion network for thoracic disease classification in chest X-ray images H Liu, L Wang, Y Nan, F Jin, Q Wang, J Pu Computerized Medical Imaging and Graphics 75, 66-73, 2019 | 113 | 2019 |
| A coarse-to-fine deep learning framework for optic disc segmentation in fundus images L Wang, H Liu, Y Lu, H Chen, J Zhang, J Pu Biomedical signal processing and control 51, 82-89, 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 | 53 | 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 | 23 | 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 | 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 |
| Survival prediction of brain cancer with incomplete radiology, pathology, genomic, and demographic data C Cui, H Liu, Q Liu, R Deng, Z Asad, Y Wang, S Zhao, H Yang, ... International Conference on Medical Image Computing and Computer-Assisted …, 2022 | 14 | 2022 |
| Automated segmentation of the optic disc using the deep learning L Wang, H Liu, J Zhang, H Chen, J Pu Medical Imaging 2019: Image Processing 10949, 535-543, 2019 | 9 | 2019 |
| Synthetic CT skull generation for transcranial MR imaging–guided focused ultrasound interventions with conditional adversarial networks H Liu, MK Sigona, TJ Manuel, LM Chen, CF Caskey, BM Dawant Medical Imaging 2022: Image-Guided Procedures, Robotic Interventions, and …, 2022 | 8 | 2022 |
| Unsupervised Domain Adaptation for Vestibular Schwannoma and Cochlea Segmentation via Semi-supervised Learning and Label Fusion H Liu, Y Fan, C Cui, D Su, A McNeil, BM Dawant International MICCAI Brainlesion Workshop, 529-539, 2021 | 7* | 2021 |
| FNPC-SAM: uncertainty-guided 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, ... Medical Imaging 2024: Image Processing 12926, 1292602, 2024 | 6* | 2024 |
| 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 | 6 | 2024 |
| 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 |
| Computerized identification of the vasculature surrounding a pulmonary nodule W Zhao, H Liu, JK Leader, D Wilson, X Meng, L Wang, LA Chen, J Pu Computerized Medical Imaging and Graphics 74, 1-9, 2019 | 6 | 2019 |
| Computerized assessment of glaucoma severity based on color fundus images L Wang, H Liu, J Zhang, H Chen, J Pu Medical Imaging 2019: Biomedical Applications in Molecular, Structural, and …, 2019 | 6 | 2019 |
| Evaluation of synthetically generated computed tomography for use in transcranial focused ultrasound procedures H Liu, MK Sigona, TJ Manuel, LM Chen, BM Dawant, CF Caskey Journal of Medical Imaging 10 (5), 055001-055001, 2023 | 5* | 2023 |
| Medical image segmentation using deep learning H Liu, D Hu, H Li, I Oguz Machine Learning for Brain Disorders, 391-434, 2023 | 5 | 2023 |
| 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 |
| Uncertainty estimation in medical image localization: Towards robust anterior thalamus targeting for deep brain stimulation H Liu, C Cui, DJ Englot, BM Dawant Interpretable and Annotation-Efficient Learning for Medical Image Computing …, 2020 | 5 | 2020 |
Ipek OguzVanderbilt UniversityVerified email at vanderbilt.edu
