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Harini Veeraraghavan - Publications

Affiliations: 
2006 University of Minnesota, Twin Cities, Minneapolis, MN 
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60 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2023 Zhu J, Veeraraghavan H, Jiang J, Oh JH, Norton L, Deasy JO, Tannenbaum A. Wasserstein HOG: Local Directionality Extraction via Optimal Transport. Ieee Transactions On Medical Imaging. PMID 37874704 DOI: 10.1109/TMI.2023.3325295  0.318
2023 Paudyal R, Shah AD, Akin O, Do RKG, Konar AS, Hatzoglou V, Mahmood U, Lee N, Wong RJ, Banerjee S, Shin J, Veeraraghavan H, Shukla-Dave A. Artificial Intelligence in CT and MR Imaging for Oncological Applications. Cancers. 15. PMID 37174039 DOI: 10.3390/cancers15092573  0.308
2022 Jiang J, Tyagi N, Tringale K, Crane C, Veeraraghavan H. 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. PMID 36468915 DOI: 10.1007/978-3-031-16440-8_53  0.301
2020 Jiang J, Veeraraghavan H. 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. PMID 33364627 DOI: 10.1007/978-3-030-59713-9_34  0.301
2020 Jiang J, Hu YC, Tyagi N, Rimner A, Lee N, Deasy JO, Berry S, Veeraraghavan H. PSIGAN: Joint probabilistic segmentation and image distribution matching for unpaired cross-modality adaptation based MRI segmentation. Ieee Transactions On Medical Imaging. PMID 32746148 DOI: 10.1109/Tmi.2020.3011626  0.369
2020 Cardenas CE, Mohamed ASR, Yang J, Gooding M, Veeraraghavan H, Kalpathy-Cramer J, Ng SP, Ding Y, Wang J, Lai SY, Fuller CD, Sharp G. 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. PMID 32418343 DOI: 10.1002/Mp.13942  0.394
2020 Apte AP, Iyer A, Thor M, Pandya R, Haq R, Jiang J, LoCastro E, Shukla-Dave A, Sasankan N, Xiao Y, Hu YC, Elguindi S, Veeraraghavan H, Oh JH, Jackson A, et al. 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. PMID 32371142 DOI: 10.1016/J.Ejmp.2020.04.011  0.393
2020 Beer L, Sahin H, Bateman NW, Blazic I, Vargas HA, Veeraraghavan H, Kirby J, Fevrier-Sullivan B, Freymann JB, Jaffe CC, Brenton J, Miccó M, Nougaret S, Darcy KM, Maxwell GL, et al. Integration of proteomics with CT-based qualitative and radiomic features in high-grade serous ovarian cancer patients: an exploratory analysis. European Radiology. PMID 32253542 DOI: 10.1007/S00330-020-06755-3  0.359
2020 Yang J, Veeraraghavan H, van Elmpt W, Dekker A, Gooding M, Sharp G. CT images with expert manual contours of thoracic cancer for benchmarking auto-segmentation accuracy. Medical Physics. PMID 32128809 DOI: 10.1002/Mp.14107  0.394
2019 Elguindi S, Zelefsky MJ, Jiang J, Veeraraghavan H, Deasy JO, Hunt MA, Tyagi N. 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. PMID 32355894 DOI: 10.1016/J.Phro.2019.11.006  0.32
2019 Klages P, Benslimane I, Riyahi S, Jiang J, Hunt M, Deasy JO, Veeraraghavan H, Tyagi N. Patch-Based Generative Adversarial Neural Network Models for Head and Neck MR-Only Planning. Medical Physics. PMID 31733164 DOI: 10.1002/Mp.13927  0.319
2019 Bhatia A, Birger M, Veeraraghavan H, Um H, Tixier F, Mckenney AS, Cugliari M, Caviasco A, Bialczak A, Malani R, Flynn J, Zhang Z, Yang TJ, Santomasso BD, Shoushtari AN, et al. MRI radiomic features are associated with survival in melanoma brain metastases treated with immune checkpoint inhibitors. Neuro-Oncology. PMID 31621883 DOI: 10.1093/Neuonc/Noz141  0.313
2019 Haq R, Berry SL, Deasy JO, Hunt M, Veeraraghavan H. Dynamic Multi-Atlas Selection Based Consensus Segmentation of Head and Neck Structures from CT Images. Medical Physics. PMID 31587300 DOI: 10.1002/Mp.13854  0.345
2019 Jiang J, Hu YC, Tyagi N, Zhang P, Rimner A, Deasy JO, Veeraraghavan H. Cross-modality (CT-MRI) prior augmented deep learning for robust lung tumor segmentation from small MR datasets. Medical Physics. PMID 31274206 DOI: 10.1002/Mp.13695  0.404
2019 Um H, Tixier F, Bermudez D, Deasy JO, Young RJ, Veeraraghavan H. Impact of image preprocessing on the scanner dependence of multi-parametric MRI radiomic features and covariate shift in multi-institutional glioblastoma datasets. Physics in Medicine and Biology. PMID 31272093 DOI: 10.1088/1361-6560/Ab2F44  0.41
2019 Qureshi TA, Veeraraghavan H, Sung JS, Kaplan JB, Flynn J, Tonorezos ES, Wolden SL, Morris EA, Oeffinger KC, Pike MC, Moskowitz CS. Automated Breast Density Measurements From Chest Computed Tomography Scans. Journal of Medical Systems. 43: 242. PMID 31230138 DOI: 10.1007/S10916-019-1363-9  0.332
2019 Tixier F, Um H, Young RJ, Veeraraghavan H. Reliability of tumor segmentation in glioblastoma: impact on the robustness of MRI-radiomic features. Medical Physics. PMID 31131906 DOI: 10.1002/Mp.13624  0.357
2019 Horvat N, Veeraraghavan H, Pelossof RA, Fernandes MC, Arora A, Khan M, Marco M, Cheng CT, Gonen M, Golia Pernicka JS, Gollub MJ, Garcia-Aguillar J, Petkovska I. Radiogenomics of rectal adenocarcinoma in the era of precision medicine: A pilot study of associations between qualitative and quantitative MRI imaging features and genetic mutations. European Journal of Radiology. 113: 174-181. PMID 30927944 DOI: 10.1016/J.Ejrad.2019.02.022  0.305
2019 Wang C, Tyagi N, Rimner A, Hu YC, Veeraraghavan H, Li G, Hunt M, Mageras G, Zhang P. Segmenting lung tumors on longitudinal imaging studies via a patient-specific adaptive convolutional neural network. Radiotherapy and Oncology : Journal of the European Society For Therapeutic Radiology and Oncology. 131: 101-107. PMID 30773175 DOI: 10.1016/J.Radonc.2018.10.037  0.359
2018 Yang J, Veeraraghavan H, Armato SG, Farahani K, Kirby JS, Kalpathy-Kramer J, van Elmpt W, Dekker A, Han X, Feng X, Aljabar P, Oliveira B, van der Heyden B, Zamdborg L, Lam D, et al. Auto-segmentation for Thoracic Radiation Treatment Planning: A Grand Challenge at AAPM 2017. Medical Physics. PMID 30144101 DOI: 10.1002/Mp.13141  0.351
2018 Jiang J, Hu YC, Liu CJ, Halpenny D, Hellmann MD, Deasy JO, Mageras G, Veeraraghavan H. Multiple Resolution Residually Connected Feature Streams For Automatic Lung Tumor Segmentation From CT Images. Ieee Transactions On Medical Imaging. PMID 30040632 DOI: 10.1109/Tmi.2018.2857800  0.355
2018 Veeraraghavan H, Dashevsky BZ, Onishi N, Sadinski M, Morris E, Deasy JO, Sutton EJ. Appearance Constrained Semi-Automatic Segmentation from DCE-MRI is Reproducible and Feasible for Breast Cancer Radiomics: A Feasibility Study. Scientific Reports. 8: 4838. PMID 29556054 DOI: 10.1038/S41598-018-22980-9  0.355
2018 Horvat N, Veeraraghavan H, Khan M, Blazic I, Zheng J, Capanu M, Sala E, Garcia-Aguilar J, Gollub MJ, Petkovska I. MR Imaging of Rectal Cancer: Radiomics Analysis to Assess Treatment Response after Neoadjuvant Therapy. Radiology. 172300. PMID 29514017 DOI: 10.1148/Radiol.2018172300  0.354
2017 Farjam R, Tyagi N, Veeraraghavan H, Apte A, Zakian K, Hunt MA, Deasy JO. Multi-atlas approach with local registration goodness weighting for MRI-based electron density mapping of head and neck anatomy. Medical Physics. PMID 28444772 DOI: 10.1002/Mp.12303  0.351
2017 Vargas HA, Veeraraghavan H, Micco M, Nougaret S, Lakhman Y, Meier AA, Sosa R, Soslow RA, Levine DA, Weigelt B, Aghajanian C, Hricak H, Deasy J, Snyder A, Sala E. A novel representation of inter-site tumour heterogeneity from pre-treatment computed tomography textures classifies ovarian cancers by clinical outcome. European Radiology. PMID 28289945 DOI: 10.1007/S00330-017-4779-Y  0.305
2016 Veeraraghavan H. MO-A-207B-00: Segmentation & Feature Extraction Techniques. Medical Physics. 43: 3694. PMID 28046831 DOI: 10.1118/1.4957172  0.392
2016 Lakhman Y, Veeraraghavan H, Chaim J, Feier D, Goldman DA, Moskowitz CS, Nougaret S, Sosa RE, Vargas HA, Soslow RA, Abu-Rustum NR, Hricak H, Sala E. Differentiation of Uterine Leiomyosarcoma from Atypical Leiomyoma: Diagnostic Accuracy of Qualitative MR Imaging Features and Feasibility of Texture Analysis. European Radiology. PMID 27921159 DOI: 10.1007/S00330-016-4623-9  0.353
2016 Sala E, Mema E, Himoto Y, Veeraraghavan H, Brenton JD, Snyder A, Weigelt B, Vargas HA. Unravelling tumour heterogeneity using next-generation imaging: radiomics, radiogenomics, and habitat imaging. Clinical Radiology. PMID 27742105 DOI: 10.1016/J.Crad.2016.09.013  0.317
2016 Saleh Z, Thor M, Apte AP, Sharp G, Tang X, Veeraraghavan H, Muren L, Deasy J. A multiple-image-based method to evaluate the performance of deformable image registration in the pelvis. Physics in Medicine and Biology. 61: 6172-6180. PMID 27469495 DOI: 10.1088/0031-9155/61/16/6172  0.322
2016 Sutton EJ, Dashevsky BZ, Oh JH, Veeraraghavan H, Apte AP, Thakur SB, Morris EA, Deasy JO. Breast cancer molecular subtype classifier that incorporates MRI features. Journal of Magnetic Resonance Imaging : Jmri. PMID 26756416 DOI: 10.1002/Jmri.25119  0.343
2016 Farjam R, Tyagi N, Veeraraghavan H, Apte A, Zakian K, Hunt M, Deasy J. TU-AB-BRA-03: Atlas-Based Algorithms with Local Registration-Goodness Weighting for MRI-Driven Electron Density Mapping Medical Physics. 43: 3733-3733. DOI: 10.1118/1.4957413  0.334
2016 Veeraraghavan H. MO-A-207B-01: Radiomics: Segmentation & Feature Extraction Techniques. Medical Physics. 43: 3694-3694. DOI: 10.1118/1.4957173  0.39
2016 Farjam R, Tyagi N, Veeraraghavan H, Apte A, Zakian K, Hunt M, Deasy J. OC-0155: MR-guided multi-atlas based synthetic CT for MR-only radiotherapy of head and neck cancer patients Radiotherapy and Oncology. 119. DOI: 10.1016/S0167-8140(16)31404-9  0.337
2015 Fehr D, Veeraraghavan H, Wibmer A, Gondo T, Matsumoto K, Vargas HA, Sala E, Hricak H, Deasy JO. Automatic classification of prostate cancer Gleason scores from multiparametric magnetic resonance images. Proceedings of the National Academy of Sciences of the United States of America. 112: E6265-E6273. PMID 26578786 DOI: 10.1073/Pnas.1505935112  0.355
2015 Veeraraghavan H. TU-G-303-03: Machine Learning to Improve Human Learning From Longitudinal Image Sets. Medical Physics. 42: 3632. PMID 26129060 DOI: 10.1118/1.4925763  0.431
2015 Oh J, Sutton E, Veeraraghavan H, Apte A, Morris E, Deasy J. TU-AB-BRA-09: Radiomics and Radiogenomics for Breast Cancer Using Magnetic Resonance Imaging. Medical Physics. 42: 3588. PMID 26128814 DOI: 10.1118/1.4925514  0.381
2015 Fehr D, Wibmer A, Gondo T, Matsumoto K, Vargas H, Sala E, Hricak H, Deasy J, Veeraraghavan H. TU-AB-BRA-01: Classification of Prostate Cancer Gleason Scores Through Machine Learning From Multiparametric MRI. Medical Physics. 42: 3586. PMID 26128802 DOI: 10.1118/1.4925506  0.343
2015 Veeraraghavan H, Tyagi N, Hunt M, Lee N, Deasy J. SU-F-303-16: Multi-Atlas and Learning Based Segmentation of Head and Neck Normal Structures From Multi-Parametric MRI. Medical Physics. 42: 3541. PMID 26128543 DOI: 10.1118/1.4925243  0.432
2015 Veeraraghavan H, Lakhman Y, Feier D, Vargas H, Hricak H, Deasy J, Sala E. SU-E-J-255: Automatic Segmentation Refined, Multiple Slice-Wise Voting Based Classification of Tumors From MRI. Medical Physics. 42: 3325. PMID 26127646 DOI: 10.1118/1.4924341  0.422
2015 Apte A, Veeraraghavan H, Oh J, Kijewski P, Deasy J. SU-E-J-253: The Radiomics Toolbox in the Computational Environment for Radiological Research (CERR). Medical Physics. 42: 3324. PMID 26127643 DOI: 10.1118/1.4924339  0.377
2015 Apte A, Veeraraghavan H, Tyagi N, Kijewski P, Deasy J. SU-E-J-213: Visualization of Scans and Metrics for Longitudinal Informatics. Medical Physics. 42: 3314. PMID 26127602 DOI: 10.1118/1.4924299  0.355
2015 Saleh Z, Thor M, Sharp G, Tang X, Volpe T, Margiasso R, Veeraraghavan H, Muren L, Deasy J. SU-E-J-95: A Novel Objective Approach to Identify Scan Outliers in Deformable Image Registration for Longitudinal Datasets. Medical Physics. 42: 3286. PMID 26127490 DOI: 10.1118/1.4924182  0.354
2015 Veeraraghavan H, Do RK, Reidy DL, Deasy JO. Simultaneous segmentation and iterative registration method for computing ADC with reduced artifacts from DW-MRI. Medical Physics. 42: 2249-60. PMID 25979019 DOI: 10.1118/1.4916799  0.34
2015 Sutton EJ, Oh JH, Dashevsky BZ, Veeraraghavan H, Apte AP, Thakur SB, Deasy JO, Morris EA. Breast cancer subtype intertumor heterogeneity: MRI-based features predict results of a genomic assay. Journal of Magnetic Resonance Imaging : Jmri. PMID 25850931 DOI: 10.1002/Jmri.24890  0.368
2014 Veeraraghavan H, Tyagi N, Riaz N, McBride S, Lee N, Deasy J. SU-E-J-238: Monitoring Lymph Node Volumes During Radiotherapy Using Semi-Automatic Segmentation of MRI Images. Medical Physics. 41: 212. PMID 28038065 DOI: 10.1118/1.4888291  0.305
2014 Wang Y, Tyagi N, Veeraraghavan H, Deasy J. WE-D-9A-04: Improving Multi-Modality Image Registration Using Edge-Based Transformations. Medical Physics. 41: 500. PMID 28037531 DOI: 10.1118/1.4889420  0.395
2014 Sharp G, Fritscher KD, Pekar V, Peroni M, Shusharina N, Veeraraghavan H, Yang J. Vision 20/20: perspectives on automated image segmentation for radiotherapy. Medical Physics. 41: 050902. PMID 24784366 DOI: 10.1118/1.4871620  0.395
2014 Saleh ZH, Apte AP, Sharp GC, Shusharina NP, Wang Y, Veeraraghavan H, Thor M, Muren LP, Rao SS, Lee NY, Deasy JO. The distance discordance metric-a novel approach to quantifying spatial uncertainties in intra- and inter-patient deformable image registration. Physics in Medicine and Biology. 59: 733-46. PMID 24440838 DOI: 10.1088/0031-9155/59/3/733  0.39
2014 Veeraraghavan H, Deasy J. SU-E-J-196: New Visualization Methods for Longitudinal MRI Registrations and Segmentations Medical Physics. 41: 202-202. DOI: 10.1118/1.4888249  0.338
2013 Wang Y, Sharp G, Jackson A, Saleh Z, Apte A, Veeraraghavan H, Deasy J. SU-E-J-64: Landmark and ROI-Enhancement-Assisted Inter-Patient Deformable Registration of 3D Bladder CT Images. Medical Physics. 40: 164. PMID 28519860 DOI: 10.1118/1.4814276  0.342
2013 Veeraraghavan H, Do K. TH-A-WAB-06: Joint Segmentation and Sequential Registration Based Approach for Computing Artifact-Free ADC Maps From Multiple DWI-MRI Sequences in Liver. Medical Physics. 40: 521. PMID 28519673 DOI: 10.1118/1.4815700  0.329
2013 Egger J, Kapur T, Fedorov A, Pieper S, Miller JV, Veeraraghavan H, Freisleben B, Golby AJ, Nimsky C, Kikinis R. GBM volumetry using the 3D Slicer medical image computing platform. Scientific Reports. 3: 1364. PMID 23455483 DOI: 10.1038/Srep01364  0.351
2013 Veeraraghavan H, Folkert M, Deasy J, Traughber M. TH-C-WAB-01: BEST IN PHYSICS (JOINT IMAGING-THERAPY)-Semi-Automated Probabilistic Segmentation of Head and Neck Anatomy Through Structure Specific Feature Selection From Multi-Sequence MRI Medical Physics. 40: 536-536. DOI: 10.1118/1.4815758  0.408
2007 Veeraraghavan H, Papanikolopoulos N, Schrater P. Learning dynamic event descriptions in image sequences Proceedings of the Ieee Computer Society Conference On Computer Vision and Pattern Recognition. DOI: 10.1109/CVPR.2007.383075  0.527
2006 Veeraraghavan H, Schrater P, Papanikolopoulos N. Adaptive geometric templates for feature matching Proceedings - Ieee International Conference On Robotics and Automation. 2006: 3393-3397. DOI: 10.1109/ROBOT.2006.1642220  0.512
2006 Veeraraghavan H, Schrater P, Papanikolopoulos N. Robust target detection and tracking through integration of motion, color, and geometry Computer Vision and Image Understanding. 103: 121-138. DOI: 10.1016/J.Cviu.2006.04.003  0.563
2006 Veeraraghavan H, Papanikolopoulos N, Schrater P. Deterministic sampling-based switching Kalman filtering for vehicle tracking Ieee Conference On Intelligent Transportation Systems, Proceedings, Itsc. 1340-1345.  0.479
2005 Veeraraghavan H, Atev S, Bird N, Schrater P, Papanikolopoulos N. Driver activity monitoring through supervised and unsupervised learning Ieee Conference On Intelligent Transportation Systems, Proceedings, Itsc. 2005: 895-900. DOI: 10.1109/ITSC.2005.1520169  0.487
2005 Veeraraghavan H, Schrater P, Papanikolopoulos N. Switching Kalman filter-based approach for tracking and event detection at traffic intersections Proceedings of the 20th Ieee International Symposium On Intelligent Control, Isic '05 and the 13th Mediterranean Conference On Control and Automation, Med '05. 2005: 1173-1178. DOI: 10.1109/.2005.1467180  0.49
2003 Veeraraghavan H, Masoud O, Papanikolopoulos NP. Computer vision algorithms for intersection monitoring Ieee Transactions On Intelligent Transportation Systems. 4: 78-89. DOI: 10.1109/Tits.2003.821212  0.321
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