Harini Veeraraghavan
Affiliations: | 2006 | University of Minnesota, Twin Cities, Minneapolis, MN |
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"Harini Veeraraghavan"Mean distance: 15.38 (cluster 23) | S | N | B | C | P |
Parents
Sign in to add mentor| Paul Schrater | grad student | 2006 | UMN | |
| (Learning to extract interesting events from outdoor image sequences.) | ||||
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Publications
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| Zhu J, Veeraraghavan H, Jiang J, et al. (2023) Wasserstein HOG: Local Directionality Extraction via Optimal Transport. Ieee Transactions On Medical Imaging |
| Paudyal R, Shah AD, Akin O, et al. (2023) Artificial Intelligence in CT and MR Imaging for Oncological Applications. Cancers. 15 |
| Jiang J, Tyagi N, Tringale K, et al. (2022) Self-supervised 3D anatomy segmentation using self-distilled masked image transformer (SMIT). Medical Image Computing and Computer-Assisted Intervention : Miccai ... International Conference On Medical Image Computing and Computer-Assisted Intervention. 13434: 556-566 |
| Jiang J, Veeraraghavan H. (2020) Unified cross-modality feature disentangler for unsupervised multi-domain MRI abdomen organs segmentation. Medical Image Computing and Computer-Assisted Intervention : Miccai ... International Conference On Medical Image Computing and Computer-Assisted Intervention. 12262: 347-358 |
| Jiang J, Hu YC, Tyagi N, et al. (2020) PSIGAN: Joint probabilistic segmentation and image distribution matching for unpaired cross-modality adaptation based MRI segmentation. Ieee Transactions On Medical Imaging |
| Cardenas CE, Mohamed ASR, Yang J, et al. (2020) Head and neck cancer patient images for determining auto-segmentation accuracy in T2-weighted magnetic resonance imaging through expert manual segmentations. Medical Physics. 47: 2317-2322 |
| Apte AP, Iyer A, Thor M, et al. (2020) Library of deep-learning image segmentation and outcomes model-implementations. Physica Medica : Pm : An International Journal Devoted to the Applications of Physics to Medicine and Biology : Official Journal of the Italian Association of Biomedical Physics (Aifb). 73: 190-196 |
| Beer L, Sahin H, Bateman NW, et al. (2020) Integration of proteomics with CT-based qualitative and radiomic features in high-grade serous ovarian cancer patients: an exploratory analysis. European Radiology |
| Yang J, Veeraraghavan H, van Elmpt W, et al. (2020) CT images with expert manual contours of thoracic cancer for benchmarking auto-segmentation accuracy. Medical Physics |
| Elguindi S, Zelefsky MJ, Jiang J, et al. (2019) Deep learning-based auto-segmentation of targets and organs-at-risk for magnetic resonance imaging only planning of prostate radiotherapy. Physics and Imaging in Radiation Oncology. 12: 80-86 |