| Long-tailed classification of thorax diseases on chest x-ray: A new benchmark study G Holste, S Wang, Z Jiang, TC Shen, G Shih, RM Summers, Y Peng, ... MICCAI Workshop on Data Augmentation, Labelling, and Imperfections, 22-32, 2022 | 27 | 2022 |
| End-to-end learning of fused image and non-image features for improved breast cancer classification from mri G Holste, SC Partridge, H Rahbar, D Biswas, CI Lee, AM Alessio Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 26 | 2021 |
| Severe aortic stenosis detection by deep learning applied to echocardiography G Holste, EK Oikonomou, BJ Mortazavi, A Coppi, KF Faridi, EJ Miller, ... European Heart Journal 44 (43), 4592-4604, 2023 | 25* | 2023 |
| Radiomics-Guided Global-Local transformer for weakly supervised pathology localization in chest X-Rays Y Han, G Holste, Y Ding, A Tewfik, Y Peng, Z Wang IEEE Transactions on Medical Imaging 42 (3), 750-761, 2022 | 7 | 2022 |
| Self-Supervised Learning of Echocardiogram Videos Enables Data-Efficient Clinical Diagnosis G Holste, EK Oikonomou, B Mortazavi, Z Wang, R Khera arXiv preprint arXiv:2207.11581, 2022 | 7 | 2022 |
| Multi-class semantic segmentation of pediatric chest radiographs G Holste, R Sullivan, M Bindschadler, N Nagy, A Alessio Medical Imaging 2020: Image Processing 11313, 323-330, 2020 | 7 | 2020 |
| Deep learning methods for segmentation of lines in pediatric chest radiographs R Sullivan, G Holste, J Burkow, A Alessio Medical Imaging 2020: Computer-Aided Diagnosis 11314, 577-583, 2020 | 6 | 2020 |
| Improving model fairness in image-based computer-aided diagnosis M Lin, T Li, Y Yang, G Holste, Y Ding, SH Van Tassel, K Kovacs, G Shih, ... Nature Communications 14 (1), 6261, 2023 | 4 | 2023 |
| CXR-LT: Multi-Label Long-Tailed Classification on Chest X-Rays G Holste, S Wang, A Jaiswal, Y Yang, M Lin, Y Peng, A Wang PhysioNet 5, 19, 2023 | 4 | 2023 |
| Avalanche decision schemes to improve pediatric rib fracture detection J Burkow, G Holste, J Otjen, F Perez, J Junewick, A Alessio Medical Imaging 2022: Computer-Aided Diagnosis 12033, 611-618, 2022 | 4 | 2022 |
| How does pruning impact long-tailed multi-label medical image classifiers? G Holste, Z Jiang, A Jaiswal, M Hanna, S Minkowitz, AC Legasto, ... International Conference on Medical Image Computing and Computer-Assisted …, 2023 | 3 | 2023 |
| Improved Multimodal Fusion for Small Datasets with Auxiliary Supervision G Holste, D van der Wal, H Pinckaers, R Yamashita, A Mitani, A Esteva 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI), 1-5, 2023 | 2 | 2023 |
| A Multimodal Video-Based AI Biomarker for Aortic Stenosis Development and Progression EK Oikonomou, G Holste, N Yuan, A Coppi, RL McNamara, NA Haynes, ... JAMA cardiology, 2024 | 1* | 2024 |
| Towards long-tailed, multi-label disease classification from chest X-ray: Overview of the CXR-LT challenge G Holste, Y Zhou, S Wang, A Jaiswal, M Lin, S Zhuge, Y Yang, D Kim, ... ArXiv, 2023 | 1 | 2023 |
| High sensitivity methods for automated rib fracture detection in pediatric radiographs J Burkow, G Holste, J Otjen, F Perez, J Junewick, A Zbojniewicz, ... Scientific Reports 14 (1), 8372, 2024 | | 2024 |
| CROSS-MODAL VALIDATION OF AN ARTIFICIAL INTELLIGENCE VIDEO-BASED APPROACH FOR THE AUTOMATED RISK STRATIFICATION OF AORTIC STENOSIS EK Oikonomou, G Holste, G Nadkarni, Z Wang, R Khera Journal of the American College of Cardiology 83 (13_Supplement), 1418-1418, 2024 | | 2024 |
| Deep Rib Fracture Instance Segmentation and Classification from CT on the RibFrac Challenge J Yang, R Shi, L Jin, X Huang, K Kuang, D Wei, S Gu, J Liu, P Liu, Z Chai, ... arXiv preprint arXiv:2402.09372, 2024 | | 2024 |
| Improving Fairness of Automated Chest X-ray Diagnosis by Contrastive Learning M Lin, T Li, Z Sun, G Holste, Y Ding, F Wang, G Shih, Y Peng arXiv preprint arXiv:2401.15111, 2024 | | 2024 |
| Biometric contrastive learning for data-efficient deep learning from electrocardiographic images V Sangha, A Khunte, G Holste, BJ Mortazavi, Z Wang, EK Oikonomou, ... Journal of the American Medical Informatics Association, ocae002, 2024 | | 2024 |
| Artificial intelligence-guided detection of under-recognized cardiomyopathies on point-of-care cardiac ultrasound EK Oikonomou, G Holste, A Coppi, RL McNamara, G Nadkarni, ... medRxiv, 2024.03. 10.24304044, 2024 | | 2024 |
Zhangyang (Atlas) WangUniversity of Texas at Austin & Picsart AI ResearchVerified email at utexas.edu
