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Harini Veeraraghavan

Showing results (41-50 of 96) with videos related to

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Physics and Imaging in Radiation Oncology|June 15, 2026
Transformer-based cardiac substructure segmentation from contrast and non-contrast computed tomography for radiotherapy planningAneesh Rangnekar, Nikhil Mankuzhy, Jonas Willmann, et al.
Physics in Medicine and Biology|October 7, 2020
Self-derived organ attention for unpaired CT-MRI deep domain adaptation based MRI segmentationJue Jiang, Yu-Chi Hu, Neelam Tyagi, et al.
Physics and Imaging in Radiation Oncology|March 4, 2022
Inter- and intrafraction motion assessment and accumulated dose quantification of upper gastrointestinal organs during magnetic resonance-guided ablative radiation therapy of pancreas patientsSadegh Alam, Harini Veeraraghavan, Kathryn Tringale, et al.
IEEE Transactions on Medical Imaging|August 4, 2020
PSIGAN: Joint Probabilistic Segmentation and Image Distribution Matching for Unpaired Cross-Modality Adaptation-Based MRI SegmentationJue Jiang, Yu-Chi Hu, Neelam Tyagi, et al.
Physics and Imaging in Radiation Oncology|February 25, 2026
Patient-specific fine-tuning of a self-distilled transformer model for normal tissue segmentation in abdominal magnetic resonance guided adaptive radiotherapyNicolas Côté, Jue Jiang, Sharif Elguindi, et al.
Physics in Medicine and Biology|July 27, 2021
Automatic segmentation of brain metastases using T1 magnetic resonance and computed tomography imagesDylan G Hsu, Åse Ballangrud, Achraf Shamseddine, et al.
Radiotherapy and Oncology : Journal of the European Society for Therapeutic Radiology and Oncology|February 19, 2019
Segmenting lung tumors on longitudinal imaging studies via a patient-specific adaptive convolutional neural networkChuang Wang, Neelam Tyagi, Andreas Rimner, et al.
Haematologica|January 8, 2026
Accurate automated diagnosis of B-acute lymphoblastic leukemia using deep learning and flow cytometrySulov Chalise, Mikhail Roshal, Sophia Roshal, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|October 9, 2018
Tumor-aware, Adversarial Domain Adaptation from CT to MRI for Lung Cancer SegmentationJue Jiang, Yu-Chi Hu, Neelam Tyagi, et al.
Physics and Imaging in Radiation Oncology|June 30, 2025
Predicting the hypoxic volume of head and neck tumors from fluorodeoxyglucose positron emission tomography images using artificial intelligenceWei Zhao, Milan Grkovski, Heiko Schoder, et al.
Pageof 10

Showing results (41-50 of 96) with videos related to

Sort By:
Pageof 10
Physics and Imaging in Radiation Oncology|June 15, 2026
Transformer-based cardiac substructure segmentation from contrast and non-contrast computed tomography for radiotherapy planningAneesh Rangnekar, Nikhil Mankuzhy, Jonas Willmann, et al.
Physics in Medicine and Biology|October 7, 2020
Self-derived organ attention for unpaired CT-MRI deep domain adaptation based MRI segmentationJue Jiang, Yu-Chi Hu, Neelam Tyagi, et al.
Physics and Imaging in Radiation Oncology|March 4, 2022
Inter- and intrafraction motion assessment and accumulated dose quantification of upper gastrointestinal organs during magnetic resonance-guided ablative radiation therapy of pancreas patientsSadegh Alam, Harini Veeraraghavan, Kathryn Tringale, et al.
IEEE Transactions on Medical Imaging|August 4, 2020
PSIGAN: Joint Probabilistic Segmentation and Image Distribution Matching for Unpaired Cross-Modality Adaptation-Based MRI SegmentationJue Jiang, Yu-Chi Hu, Neelam Tyagi, et al.
Physics and Imaging in Radiation Oncology|February 25, 2026
Patient-specific fine-tuning of a self-distilled transformer model for normal tissue segmentation in abdominal magnetic resonance guided adaptive radiotherapyNicolas Côté, Jue Jiang, Sharif Elguindi, et al.
Physics in Medicine and Biology|July 27, 2021
Automatic segmentation of brain metastases using T1 magnetic resonance and computed tomography imagesDylan G Hsu, Åse Ballangrud, Achraf Shamseddine, et al.
Radiotherapy and Oncology : Journal of the European Society for Therapeutic Radiology and Oncology|February 19, 2019
Segmenting lung tumors on longitudinal imaging studies via a patient-specific adaptive convolutional neural networkChuang Wang, Neelam Tyagi, Andreas Rimner, et al.
Haematologica|January 8, 2026
Accurate automated diagnosis of B-acute lymphoblastic leukemia using deep learning and flow cytometrySulov Chalise, Mikhail Roshal, Sophia Roshal, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|October 9, 2018
Tumor-aware, Adversarial Domain Adaptation from CT to MRI for Lung Cancer SegmentationJue Jiang, Yu-Chi Hu, Neelam Tyagi, et al.
Physics and Imaging in Radiation Oncology|June 30, 2025
Predicting the hypoxic volume of head and neck tumors from fluorodeoxyglucose positron emission tomography images using artificial intelligenceWei Zhao, Milan Grkovski, Heiko Schoder, et al.
Pageof 10