| Polyp-sam: Transfer sam for polyp segmentation Y Li, M Hu, X Yang Medical Imaging 2024: Computer-Aided Diagnosis 12927, 759-765, 2024 | 39 | 2024 |
| Abdomen CT multi‐organ segmentation using token‐based MLP‐Mixer S Pan, CW Chang, T Wang, J Wynne, M Hu, Y Lei, T Liu, P Patel, J Roper, ... Medical Physics 50 (5), 3027-3038, 2023 | 39 | 2023 |
| Reinforcement learning in medical image analysis: Concepts, applications, challenges, and future directions M Hu, J Zhang, L Matkovic, T Liu, X Yang Journal of Applied Clinical Medical Physics 24 (2), e13898, 2023 | 39 | 2023 |
| Skinsam: Empowering skin cancer segmentation with segment anything model M Hu, Y Li, X Yang arXiv preprint arXiv:2304.13973, 2023 | 35 | 2023 |
| Advancing medical imaging with language models: A journey from n-grams to chatgpt M Hu, S Pan, Y Li, X Yang arXiv preprint arXiv:2304.04920, 2023 | 26 | 2023 |
| Breastsam: A study of segment anything model for breast tumor detection in ultrasound images M Hu, Y Li, X Yang arXiv preprint arXiv:2305.12447, 2023 | 12 | 2023 |
| Deep learning approach for automated detection of retinal pathology from ultra-widefield retinal images M Hu, J Amason, T Lee, Q Gao, D Borkar, M Pajic, M Hadziahmetovic Investigative Ophthalmology & Visual Science 62 (8), 2129-2129, 2021 | 9 | 2021 |
| End-to-end brain tumor detection using a graph-feature-based classifier M Hu, J Wang, CW Chang, T Liu, X Yang Medical Imaging 2023: Biomedical Applications in Molecular, Structural, and …, 2023 | 6 | 2023 |
| Prostate Gleason score prediction via MRI using capsule network Y Li, J Wang, M Hu, P Patel, H Mao, T Liu, X Yang Medical Imaging 2023: Computer-Aided Diagnosis 12465, 514-519, 2023 | 5 | 2023 |
| End-to-end artificial intelligence platform for the management of large vessel occlusions: A preliminary study S Meng, TML Tran, M Hu, PP Wang, T Yi, Z Zhong, L Wang, B Vogt, Z Jiao, ... Journal of Stroke and Cerebrovascular Diseases 31 (11), 106753, 2022 | 4 | 2022 |
| Ultrasound breast tumor detection based on vision graph neural network M Hu, J Wang, C Chang, T Liu, X Yang Medical Imaging 2023: Ultrasonic Imaging and Tomography 12470, 165-170, 2023 | 3 | 2023 |
| A vision-GNN framework for retinopathy classification using optical coherence tomography M Hu, J Wang, J Wynne, T Liu, X Yang Medical Imaging 2023: Computer-Aided Diagnosis 12465, 200-206, 2023 | 2 | 2023 |
| Evaluation of a deep learning supported remote diagnosis model for identification of diabetic retinopathy using wide-field Optomap T Lee, M Hu, Q Gao, J Amason, D Borkar, D D’Alessio, M Canos, A Shariff, ... Annals of Eye Science 7, 11-11, 2022 | 2 | 2022 |
| Using the SVM Method for Lung Adenocarcinoma Prognosis Based on Expression Level T Li, M Hu, L Zhang Proceedings of the 2018 2nd International Conference on Computational …, 2018 | 2 | 2018 |
| David vs. Goliath: large foundation models are not outperforming small models in multi-view mammogram breast cancer prediction X Chen, M Hu, K Zhang, N Abdoli, Y Sadri, P Gilley, OSV Chekuri, ... Medical Imaging 2024: Computer-Aided Diagnosis 12927, 218-225, 2024 | 1 | 2024 |
| Multi-organ CT segmentation using shifted-window multilayer perceptron mixer S Pan, J Wynne, M Hu, T Wang, J Roper, P Patel, T Liu, X Yang Medical Imaging 2023: Image-Guided Procedures, Robotic Interventions, and …, 2023 | 1 | 2023 |
| Mammo-CLIP: Leveraging Contrastive Language-Image Pre-training (CLIP) for Enhanced Breast Cancer Diagnosis with Multi-view Mammography X Chen, Y Li, M Hu, E Salari, X Chen, RLJ Qiu, B Zheng, X Yang arXiv preprint arXiv:2404.15946, 2024 | | 2024 |
| Cardiac MRI segmentation using block-partitioned transformer with global-local information integration E Abouei, S Pan, M Hu, AH Kesarwala, J Zhou, J Roper, T Liu, X Yang Medical Imaging 2024: Clinical and Biomedical Imaging 12930, 512-516, 2024 | | 2024 |
| Mobile-friendly skin lesion detection using an attention-driven lightweight model M Hu, X Yang Medical Imaging 2024: Imaging Informatics for Healthcare, Research, and …, 2024 | | 2024 |
| BreastSAM: adapting the segmentation anything model for breast tumor segmentation in ultrasound imaging M Hu, Y Li, X Yang Medical Imaging 2024: Ultrasonic Imaging and Tomography 12932, 182-196, 2024 | | 2024 |
Xiaofeng YangEmory University and Georgia Institute of TechnologyVerified email at emory.edu
