| Multi-organ segmentation over partially labeled datasets with multi-scale feature abstraction X Fang, P Yan IEEE Transactions on Medical Imaging 39 (11), 3619-3629, 2020 | 163 | 2020 |
| Integrative analysis for COVID-19 patient outcome prediction H Chao, X Fang, J Zhang, F Homayounieh, CD Arru, SR Digumarthy, ... Medical image analysis 67, 101844, 2021 | 73 | 2021 |
| A method of rapid quantification of patient‐specific organ doses for CT using deep‐learning‐based multi‐organ segmentation and GPU‐accelerated Monte Carlo dose computing Z Peng, X Fang, P Yan, H Shan, T Liu, X Pei, G Wang, B Liu, MK Kalra, ... Medical physics 47 (6), 2526-2536, 2020 | 66 | 2020 |
| Association of AI quantified COVID-19 chest CT and patient outcome X Fang, U Kruger, F Homayounieh, H Chao, J Zhang, SR Digumarthy, ... International journal of computer assisted radiology and surgery 16, 435-445, 2021 | 26 | 2021 |
| Deep learning-based liver segmentation for fusion-guided intervention X Fang, S Xu, BJ Wood, P Yan International journal of computer assisted radiology and surgery 15, 963-972, 2020 | 22 | 2020 |
| Multi-class active learning by integrating uncertainty and diversity Z Wang, X Fang, X Tang, C Wu IEEE Access 6, 22794-22803, 2018 | 19 | 2018 |
| Deep learning for biomechanical modeling of facial tissue deformation in orthognathic surgical planning N Lampen, D Kim, X Fang, X Xu, T Kuang, HH Deng, JC Barber, J Gateno, ... International journal of computer assisted radiology and surgery 17 (5), 945-952, 2022 | 14 | 2022 |
| Unified multi-scale feature abstraction for medical image segmentation X Fang, B Du, S Xu, BJ Wood, P Yan Medical Imaging 2020: Image Processing 11313, 282-288, 2020 | 10 | 2020 |
| Data Augmentation for Training Deep Neural Networks Z Peng, J Zhou, X Fang, P Yan, H Shan, G Wang, XG Xu, X Pei Auto-Segmentation for Radiation Oncology, 151-164, 2021 | 3 | 2021 |
| Spatiotemporal incremental mechanics modeling of facial tissue change N Lampen, D Kim, X Xu, X Fang, J Lee, T Kuang, HH Deng, ... International Conference on Medical Image Computing and Computer-Assisted …, 2023 | 2 | 2023 |
| Soft-Tissue Driven Craniomaxillofacial Surgical Planning X Fang, D Kim, X Xu, T Kuang, N Lampen, J Lee, HH Deng, J Gateno, ... International Conference on Medical Image Computing and Computer-Assisted …, 2023 | 2 | 2023 |
| Shape description losses for medical image segmentation X Fang, X Xu, JJ Xia, T Sanford, B Turkbey, S Xu, BJ Wood, P Yan Machine Vision and Applications 34 (4), 57, 2023 | 2 | 2023 |
| Deep learning-based facial appearance simulation driven by surgically planned craniomaxillofacial bony movement X Fang, D Kim, X Xu, T Kuang, HH Deng, JC Barber, N Lampen, J Gateno, ... International Conference on Medical Image Computing and Computer-Assisted …, 2022 | 2 | 2022 |
| Multiorgan Segmentation of CT Images Using Deep-Learning for Instant and Patient-Specific Dose Reporting Z Peng, X Fang, H Shan, T Liu, X Pei, P Yan, G Wang, B Liu, M Kalra, ... MEDICAL PHYSICS 46 (6), E519-E519, 2019 | 2 | 2019 |
| Correspondence attention for facial appearance simulation X Fang, D Kim, X Xu, T Kuang, N Lampen, J Lee, HH Deng, ... Medical Image Analysis 93, 103094, 2024 | | 2024 |
| 11 Data Augmentation Z Peng, J Zhou, X Fang, P Yan, H Shan, G Wang, XG Xu, X Pei Auto-Segmentation for Radiation Oncology: State of the Art, 151, 2021 | | 2021 |
| Integrative Analysis for COVID-19 Patient Outcome Prediction (preprint) H Chao, X Fang, J Zhang, F Homayounieh, CD Arru, SR Digumarthy, ... | | 2020 |
| Division and Fusion: Rethink Convolutional Kernels for 3D Medical Image Segmentation X Fang, T Sanford, B Turkbey, S Xu, BJ Wood, P Yan Machine Learning in Medical Imaging: 11th International Workshop, MLMI 2020 …, 2020 | | 2020 |
Pingkun YanRensselaer Polytechnic InstituteVerified email at rpi.edu
