| Multiple resolution residually connected feature streams for automatic lung tumor segmentation from CT images J Jiang, YC Hu, CJ Liu, D Halpenny, MD Hellmann, JO Deasy, G Mageras, ... IEEE transactions on medical imaging 38 (1), 134-144, 2018 | 263 | 2018 |
| Tumor-aware, adversarial domain adaptation from CT to MRI for lung cancer segmentation J Jiang, YC Hu, N Tyagi, P Zhang, A Rimner, GS Mageras, JO Deasy, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018 | 192 | 2018 |
| Deep learning-based auto-segmentation of targets and organs-at-risk for magnetic resonance imaging only planning of prostate radiotherapy S Elguindi, MJ Zelefsky, J Jiang, H Veeraraghavan, JO Deasy, MA Hunt, ... Physics and imaging in radiation oncology 12, 80-86, 2019 | 107 | 2019 |
| Patch‐based generative adversarial neural network models for head and neck MR‐only planning P Klages, I Benslimane, S Riyahi, J Jiang, M Hunt, JO Deasy, ... Medical physics 47 (2), 626-642, 2020 | 80 | 2020 |
| Colonic polyp detection in endoscopic videos with single shot detection based deep convolutional neural network M Liu, J Jiang, Z Wang IEEE Access 7, 75058-75066, 2019 | 70 | 2019 |
| Skin color enhancement based on favorite skin color in HSV color space XN Zhang, J Jiang, ZH Liang, CL Liu IEEE Transactions on Consumer Electronics 56 (3), 1789-1793, 2010 | 65 | 2010 |
| Cross‐modality (CT‐MRI) prior augmented deep learning for robust lung tumor segmentation from small MR datasets J Jiang, YC Hu, N Tyagi, P Zhang, A Rimner, JO Deasy, H Veeraraghavan Medical physics 46 (10), 4392-4404, 2019 | 51 | 2019 |
| Toward predicting the evolution of lung tumors during radiotherapy observed on a longitudinal MR imaging study via a deep learning algorithm C Wang, A Rimner, YC Hu, N Tyagi, J Jiang, E Yorke, S Riyahi, ... Medical physics 46 (10), 4699-4707, 2019 | 39 | 2019 |
| PSIGAN: Joint probabilistic segmentation and image distribution matching for unpaired cross-modality adaptation-based MRI segmentation J Jiang, YC Hu, N Tyagi, A Rimner, N Lee, JO Deasy, S Berry, ... IEEE transactions on medical imaging 39 (12), 4071-4084, 2020 | 38 | 2020 |
| Integrating cross-modality hallucinated MRI with CT to aid mediastinal lung tumor segmentation J Jue, H Jason, T Neelam, R Andreas, BL Sean, DO Joseph, V Harini International Conference on Medical Image Computing and Computer-Assisted …, 2019 | 35 | 2019 |
| TDFSSD: Top-down feature fusion single shot MultiBox detector H Pan, J Jiang, G Chen Signal Processing: Image Communication 89, 115987, 2020 | 33 | 2020 |
| An attention‐supervised full‐resolution residual network for the segmentation of breast ultrasound images X Qu, Y Shi, Y Hou, J Jiang Medical physics 47 (11), 5702-5714, 2020 | 29 | 2020 |
| Self-supervised 3D anatomy segmentation using self-distilled masked image transformer (SMIT) J Jiang, N Tyagi, K Tringale, C Crane, H Veeraraghavan International Conference on Medical Image Computing and Computer-Assisted …, 2022 | 28 | 2022 |
| Crowd counting with fully convolutional neural network M Liu, J Jiang, Z Guo, Z Wang, Y Liu 2018 25th IEEE International Conference on Image Processing (ICIP), 953-957, 2018 | 28 | 2018 |
| Unified cross-modality feature disentangler for unsupervised multi-domain MRI abdomen organs segmentation J Jiang, H Veeraraghavan Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 27 | 2020 |
| A VGG attention vision transformer network for benign and malignant classification of breast ultrasound images X Qu, H Lu, W Tang, S Wang, D Zheng, Y Hou, J Jiang Medical Physics 49 (9), 5787-5798, 2022 | 22 | 2022 |
| Library of deep-learning image segmentation and outcomes model-implementations AP Apte, A Iyer, M Thor, R Pandya, R Haq, J Jiang, E LoCastro, ... Physica Medica 73, 190-196, 2020 | 19 | 2020 |
| Multi-modal, multi-resolution deep learning neural networks for segmentation, outcomes prediction and longitudinal response monitoring to immunotherapy and radiotherapy JO Deasy, H Veeraraghavan, YC Hu, G MAGERAS, J JIANG US Patent App. 17/264,048, 2021 | 17 | 2021 |
| Unpaired cross-modality educed distillation (CMEDL) for medical image segmentation J Jiang, A Rimner, JO Deasy, H Veeraraghavan IEEE transactions on medical imaging 41 (5), 1057-1068, 2021 | 16 | 2021 |
| Adaptively dense feature pyramid network for object detection H Pan, G Chen, J Jiang Ieee Access 7, 81132-81144, 2019 | 16 | 2019 |
Harini VeeraraghavanAssociate Attending Computer Scientist, Memorial Sloan-Kettering Cancer CenterVerified email at mskcc.org
