Works by Veeraraghavan, Harini

Results: 41

Artificial Intelligence in CT and MR Imaging for Oncological Applications.

Published in:

Cancers, 2023, v. 15, n. 9, p. 2573, doi. 10.3390/cancers15092573

By:

Paudyal, Ramesh;
Shah, Akash D.;
Akin, Oguz;
Do, Richard K. G.;
Konar, Amaresha Shridhar;
Hatzoglou, Vaios;
Mahmood, Usman;
Lee, Nancy;
Wong, Richard J.;
Banerjee, Suchandrima;
Shin, Jaemin;
Veeraraghavan, Harini;
Shukla-Dave, Amita

Publication type:

Article

Integrated Multi-Tumor Radio-Genomic Marker of Outcomes in Patients with High Serous Ovarian Carcinoma.

Published in:

Cancers, 2020, v. 12, n. 11, p. 3403, doi. 10.3390/cancers12113403

By:

Veeraraghavan, Harini;
Vargas, Herbert Alberto;
Sánchez, Alejandro-Jiménez;
Micco, Maura;
Mema, Eralda;
Lakhman, Yulia;
Crispin-Ortuzar, Mireia;
Huang, Erich P.;
Levine, Douglas A.;
Grisham, Rachel N.;
Abu-Rustum, Nadeem;
Deasy, Joseph O.;
Snyder, Alexandra;
Miller, Martin L.;
Brenton, James D.;
Sala, Evis

Publication type:

Article

Machine learning-based prediction of microsatellite instability and high tumor mutation burden from contrast-enhanced computed tomography in endometrial cancers.

Published in:

Scientific Reports, 2020, v. 10, n. 1, p. 1, doi. 10.1038/s41598-020-72475-9

By:

Veeraraghavan, Harini;
Friedman, Claire F.;
DeLair, Deborah F.;
Ninčević, Josip;
Himoto, Yuki;
Bruni, Silvio G.;
Cappello, Giovanni;
Petkovska, Iva;
Nougaret, Stephanie;
Nikolovski, Ines;
Zehir, Ahmet;
Abu-Rustum, Nadeem R.;
Aghajanian, Carol;
Zamarin, Dmitriy;
Cadoo, Karen A.;
Diaz, Luis A.;
Leitao, Mario M.;
Makker, Vicky;
Soslow, Robert A.;
Mueller, Jennifer J.

Publication type:

Article

Self‐supervised learning improves robustness of deep learning lung tumor segmentation models to CT imaging differences.

Published in:

Medical Physics, 2025, v. 52, n. 3, p. 1573, doi. 10.1002/mp.17541

By:

Jiang, Jue;
Rangnekar, Aneesh;
Veeraraghavan, Harini

Publication type:

Article

Tumor aware recurrent inter‐patient deformable image registration of computed tomography scans with lung cancer.

Published in:

Medical Physics, 2025, v. 52, n. 2, p. 938, doi. 10.1002/mp.17536

By:

Jiang, Jue;
Choi, Chloe Min Seo;
Thor, Maria;
Deasy, Joseph O.;
Veeraraghavan, Harini

Publication type:

Article

Progressively refined deep joint registration segmentation (ProRSeg) of gastrointestinal organs at risk: Application to MRI and cone‐beam CT.

Published in:

Medical Physics, 2023, v. 50, n. 8, p. 4758, doi. 10.1002/mp.16527

By:

Jiang, Jue;
Hong, Jun;
Tringale, Kathryn;
Reyngold, Marsha;
Crane, Christopher;
Tyagi, Neelam;
Veeraraghavan, Harini

Publication type:

Article

Deep learning‐based dominant index lesion segmentation for MR‐guided radiation therapy of prostate cancer.

Published in:

Medical Physics, 2023, v. 50, n. 8, p. 4854, doi. 10.1002/mp.16320

By:

Simeth, Josiah;
Jiang, Jue;
Nosov, Anton;
Wibmer, Andreas;
Zelefsky, Michael;
Tyagi, Neelam;
Veeraraghavan, Harini

Publication type:

Article

A model for gastrointestinal tract motility in a 4D imaging phantom of human anatomy.

Published in:

Medical Physics, 2023, v. 50, n. 5, p. 3066, doi. 10.1002/mp.16305

By:

Subashi, Ergys;
Segars, Paul;
Veeraraghavan, Harini;
Deasy, Joseph;
Tyagi, Neelam

Publication type:

Article

Nested block self‐attention multiple resolution residual network for multiorgan segmentation from CT.

Published in:

Medical Physics, 2022, v. 49, n. 8, p. 5244, doi. 10.1002/mp.15765

By:

Jiang, Jue;
Elguindi, Sharif;
Berry, Sean L.;
Onochie, Ifeanyirochukwu;
Cervino, Laura;
Deasy, Joseph O.;
Veeraraghavan, Harini

Publication type:

Article

Volumetric analysis of IDH-mutant lower-grade glioma: a natural history study of tumor growth rates before and after treatment.

Published in:

Neuro-Oncology, 2020, v. 22, n. 12, p. 1822, doi. 10.1093/neuonc/noaa105

By:

Huang, Raymond Y;
Young, Robert J;
Ellingson, Benjamin M;
Veeraraghavan, Harini;
Wang, Wei;
Tixier, Florent;
Um, Hyemin;
Nawaz, Rasheed;
Luks, Tracy;
Kim, John;
Gerstner, Elizabeth R;
Schiff, David;
Peters, Katherine B;
Mellinghoff, Ingo K;
Chang, Susan M;
Cloughesy, Timothy F;
Wen, Patrick Y

Publication type:

Article

MRI radiomic features are associated with survival in melanoma brain metastases treated with immune checkpoint inhibitors.

Published in:

Neuro-Oncology, 2019, v. 21, n. 12, p. 1578, doi. 10.1093/neuonc/noz141

By:

Bhatia, Ankush;
Birger, Maxwell;
Veeraraghavan, Harini;
Um, Hyemin;
Tixier, Florent;
McKenney, Anna Sophia;
Cugliari, Marina;
Caviasco, Annalise;
Bialczak, Angelica;
Malani, Rachna;
Flynn, Jessica;
Zhang, Zhigang;
Yang, T Jonathan;
Santomasso, Bianca D;
Shoushtari, Alexander N;
Young, Robert J

Publication type:

Article

Automated Breast Density Measurements From Chest Computed Tomography Scans.

Published in:

Journal of Medical Systems, 2019, v. 43, n. 8, p. N.PAG, doi. 10.1007/s10916-019-1363-9

By:

Qureshi, Touseef A.;
Veeraraghavan, Harini;
Sung, Janice S.;
Kaplan, Jennifer B.;
Flynn, Jessica;
Tonorezos, Emily S.;
Wolden, Suzanne L.;
Morris, Elizabeth A.;
Oeffinger, Kevin C.;
Pike, Malcolm C.;
Moskowitz, Chaya S.

Publication type:

Article

Reproducibility of radiomic features using network analysis and its application in Wasserstein k-means clustering.

Published in:

Journal of Medical Imaging, 2021, v. 8, n. 3, p. 31904, doi. 10.1117/1.JMI.8.3.031904

By:

Oh, Jung Hun;
Apte, Aditya P.;
Katsoulakis, Evangelia;
Riaz, Nadeem;
Hatzoglou, Vaios;
Yu, Yao;
Mahmood, Usman;
Veeraraghavan, Harini;
Pouryahya, Maryam;
Iyer, Aditi;
Shukla-Dave, Amita;
Tannenbaum, Allen;
Lee, Nancy Y.;
Deasy, Joseph O.

Publication type:

Article

Breast cancer molecular subtype classifier that incorporates MRI features.

Published in:

2016

By:

Sutton, Elizabeth J.;
Dashevsky, Brittany Z.;
Oh, Jung Hun;
Veeraraghavan, Harini;
Apte, Aditya P.;
Thakur, Sunitha B.;
Morris, Elizabeth A.;
Deasy, Joseph O.

Publication type:

journal article

Breast cancer subtype intertumor heterogeneity: MRI-based features predict results of a genomic assay.

Published in:

2015

By:

Sutton, Elizabeth J.;
Oh, Jung Hun;
Dashevsky, Brittany Z.;
Veeraraghavan, Harini;
Apte, Aditya P.;
Thakur, Sunitha B.;
Deasy, Joseph O.;
Morris, Elizabeth A.

Publication type:

journal article

Integration of proteomics with CT-based qualitative and radiomic features in high-grade serous ovarian cancer patients: an exploratory analysis.

Published in:

European Radiology, 2020, v. 30, n. 8, p. 4306, doi. 10.1007/s00330-020-06755-3

By:

Beer, Lucian;
Sahin, Hilal;
Bateman, Nicholas W.;
Blazic, Ivana;
Vargas, Hebert Alberto;
Veeraraghavan, Harini;
Kirby, Justin;
Fevrier-Sullivan, Brenda;
Freymann, John B.;
Jaffe, C. Carl;
Brenton, James;
Miccó, Maura;
Nougaret, Stephanie;
Darcy, Kathleen M.;
Maxwell, G. Larry;
Conrads, Thomas P.;
Huang, Erich;
Sala, Evis

Publication type:

Article

A novel representation of inter-site tumour heterogeneity from pre-treatment computed tomography textures classifies ovarian cancers by clinical outcome.

Published in:

2017

By:

Vargas, Hebert;
Veeraraghavan, Harini;
Micco, Maura;
Nougaret, Stephanie;
Lakhman, Yulia;
Meier, Andreas;
Sosa, Ramon;
Soslow, Robert;
Levine, Douglas;
Weigelt, Britta;
Aghajanian, Carol;
Hricak, Hedvig;
Deasy, Joseph;
Snyder, Alexandra;
Sala, Evis;
Vargas, Hebert Alberto;
Meier, Andreas A;
Soslow, Robert A;
Levine, Douglas A

Publication type:

journal article

Differentiation of Uterine Leiomyosarcoma from Atypical Leiomyoma: Diagnostic Accuracy of Qualitative MR Imaging Features and Feasibility of Texture Analysis.

Published in:

2017

By:

Lakhman, Yulia;
Veeraraghavan, Harini;
Chaim, Joshua;
Feier, Diana;
Goldman, Debra;
Moskowitz, Chaya;
Nougaret, Stephanie;
Sosa, Ramon;
Vargas, Hebert;
Soslow, Robert;
Abu-Rustum, Nadeem;
Hricak, Hedvig;
Sala, Evis;
Goldman, Debra A;
Moskowitz, Chaya S;
Sosa, Ramon E;
Vargas, Hebert Alberto;
Soslow, Robert A;
Abu-Rustum, Nadeem R

Publication type:

journal article

Haralick texture analysis of prostate MRI: utility for differentiating non-cancerous prostate from prostate cancer and differentiating prostate cancers with different Gleason scores.

Published in:

European Radiology, 2015, v. 25, n. 10, p. 2840, doi. 10.1007/s00330-015-3701-8

By:

Wibmer, Andreas;
Hricak, Hedvig;
Gondo, Tatsuo;
Matsumoto, Kazuhiro;
Veeraraghavan, Harini;
Fehr, Duc;
Zheng, Junting;
Goldman, Debra;
Moskowitz, Chaya;
Fine, Samson;
Reuter, Victor;
Eastham, James;
Sala, Evis;
Vargas, Hebert

Publication type:

Article

Assessing Endoscopic Response in Locally Advanced Rectal Cancer Treated with Total Neoadjuvant Therapy: Development and Validation of a Highly Accurate Convolutional Neural Network.

Published in:

Annals of Surgical Oncology: An Oncology Journal for Surgeons, 2024, v. 31, n. 10, p. 6443, doi. 10.1245/s10434-024-15311-y

By:

Williams, Hannah;
Thompson, Hannah M.;
Lee, Christina;
Rangnekar, Aneesh;
Gomez, Jorge T.;
Widmar, Maria;
Wei, Iris H.;
Pappou, Emmanouil P.;
Nash, Garrett M.;
Weiser, Martin R.;
Paty, Philip B.;
Smith, J. Joshua;
Veeraraghavan, Harini;
Garcia-Aguilar, Julio

Publication type:

Article

ASO Visual Abstract: Assessing Endoscopic Response in Locally Advanced Rectal Cancer Treated with Total Neoadjuvant Therapy: Development and Validation of a Highly Accurate Convolutional Neural Network.

Published in:

2024

By:

Williams, Hannah;
Thompson, Hannah M.;
Lee, Christina;
Rangnekar, Aneesh;
Gomez, Jorge T.;
Widmar, Maria;
Wei, Iris H.;
Pappou, Emmanouil P.;
Nash, Garrett M.;
Weiser, Martin R.;
Paty, Philip B.;
Smith, J. Joshua;
Veeraraghavan, Harini;
Garcia-Aguilar, Julio

Publication type:

Abstract

Deep cross‐modality (MR‐CT) educed distillation learning for cone beam CT lung tumor segmentation.

Published in:

Medical Physics, 2021, v. 48, n. 7, p. 3702, doi. 10.1002/mp.14902

By:

Jiang, Jue;
Riyahi Alam, Sadegh;
Chen, Ishita;
Zhang, Perry;
Rimner, Andreas;
Deasy, Joseph O.;
Veeraraghavan, Harini

Publication type:

Article

CT images with expert manual contours of thoracic cancer for benchmarking auto‐segmentation accuracy.

Published in:

Medical Physics, 2020, v. 47, n. 12, p. 1, doi. 10.1002/mp.14804

By:

Yang, Jinzhong;
Veeraraghavan, Harini;
van Elmpt, Wouter;
Dekker, Andre;
Gooding, Mark;
Sharp, Greg

Publication type:

Article

Head and neck cancer patient images for determining auto‐segmentation accuracy in T2‐weighted magnetic resonance imaging through expert manual segmentations.

Published in:

Medical Physics, 2020, v. 47, n. 12, p. 1, doi. 10.1002/mp.14803

By:

Cardenas, Carlos E.;
Mohamed, Abdallah S. R.;
Yang, Jinzhong;
Gooding, Mark;
Veeraraghavan, Harini;
Kalpathy-Cramer, Jayashree;
Ping Ng, Sweet;
Ding, Yao;
Wang, Jihong;
Lai, Stephen Y.;
Fuller, Clifton D.;
Sharp, Greg

Publication type:

Article

CT images with expert manual contours of thoracic cancer for benchmarking auto‐segmentation accuracy.

Published in:

Medical Physics, 2020, v. 47, n. 7, p. 3250, doi. 10.1002/mp.14107

By:

Yang, Jinzhong;
Veeraraghavan, Harini;
Elmpt, Wouter;
Dekker, Andre;
Gooding, Mark;
Sharp, Greg

Publication type:

Article

Head and neck cancer patient images for determining auto‐segmentation accuracy in T2‐weighted magnetic resonance imaging through expert manual segmentations.

Published in:

Medical Physics, 2020, v. 47, n. 5, p. 2317, doi. 10.1002/mp.13942

By:

Cardenas, Carlos E.;
Mohamed, Abdallah S. R.;
Yang, Jinzhong;
Gooding, Mark;
Veeraraghavan, Harini;
Kalpathy‐Cramer, Jayashree;
Ng, Sweet Ping;
Ding, Yao;
Wang, Jihong;
Lai, Stephen Y.;
Fuller, Clifton D.;
Sharp, Greg

Publication type:

Article

Head and neck cancer patient images for determining auto‐segmentation accuracy in T2‐weighted magnetic resonance imaging through expert manual segmentations.

Published in:

Medical Physics, 2020, v. 47, n. 5, p. 2317, doi. 10.1002/mp.13942

By:

Cardenas, Carlos E.;
Mohamed, Abdallah S. R.;
Yang, Jinzhong;
Gooding, Mark;
Veeraraghavan, Harini;
Kalpathy‐Cramer, Jayashree;
Ng, Sweet Ping;
Ding, Yao;
Wang, Jihong;
Lai, Stephen Y.;
Fuller, Clifton D.;
Sharp, Greg

Publication type:

Article

Patch‐based generative adversarial neural network models for head and neck MR‐only planning.

Published in:

Medical Physics, 2020, v. 47, n. 2, p. 626, doi. 10.1002/mp.13927

By:

Klages, Peter;
Benslimane, Ilyes;
Riyahi, Sadegh;
Jiang, Jue;
Hunt, Margie;
Deasy, Joseph O.;
Veeraraghavan, Harini;
Tyagi, Neelam

Publication type:

Article

Dynamic multiatlas selection‐based consensus segmentation of head and neck structures from CT images.

Published in:

Medical Physics, 2019, v. 46, n. 12, p. 5612, doi. 10.1002/mp.13854

By:

Haq, Rabia;
Berry, Sean L.;
Deasy, Joseph O.;
Hunt, Margie;
Veeraraghavan, Harini

Publication type:

Article

Cross‐modality (CT‐MRI) prior augmented deep learning for robust lung tumor segmentation from small MR datasets.

Published in:

Medical Physics, 2019, v. 46, n. 10, p. 4392, doi. 10.1002/mp.13695

By:

Jiang, Jue;
Hu, Yu‐Chi;
Tyagi, Neelam;
Zhang, Pengpeng;
Rimner, Andreas;
Deasy, Joseph O.;
Veeraraghavan, Harini

Publication type:

Article

Reliability of tumor segmentation in glioblastoma: Impact on the robustness of MRI‐radiomic features.

Published in:

Medical Physics, 2019, v. 46, n. 8, p. 3582, doi. 10.1002/mp.13624

By:

Tixier, Florent;
Um, Hyemin;
Young, Robert J;
Veeraraghavan, Harini

Publication type:

Article

Autosegmentation for thoracic radiation treatment planning: A grand challenge at AAPM 2017.

Published in:

Medical Physics, 2018, v. 45, n. 10, p. 4568, doi. 10.1002/mp.13141

By:

Yang, Jinzhong;
Veeraraghavan, Harini;
Armato, Samuel G.;
Farahani, Keyvan;
Kirby, Justin S.;
Kalpathy‐Kramer, Jayashree;
van Elmpt, Wouter;
Dekker, Andre;
Han, Xiao;
Feng, Xue;
Aljabar, Paul;
Oliveira, Bruno;
van der Heyden, Brent;
Zamdborg, Leonid;
Lam, Dao;
Gooding, Mark;
Sharp, Gregory C.

Publication type:

Article

Technical Note: Extension of CERR for computational radiomics: A comprehensive MATLAB platform for reproducible radiomics research.

Published in:

Medical Physics, 2018, v. 45, n. 8, p. 3713, doi. 10.1002/mp.13046

By:

Apte, Aditya P.;
Iyer, Aditi;
Crispin‐Ortuzar, Mireia;
Pandya, Rutu;
van Dijk, Lisanne V.;
Spezi, Emiliano;
Thor, Maria;
Um, Hyemin;
Veeraraghavan, Harini;
Oh, Jung Hun;
Shukla‐Dave, Amita;
Deasy, Joseph O.

Publication type:

Article

Multiatlas approach with local registration goodness weighting for MRI-based electron density mapping of head and neck anatomy.

Published in:

Medical Physics, 2017, v. 44, n. 7, p. 3706, doi. 10.1002/mp.12303

By:

Farjam, Reza;
Tyagi, Neelam;
Veeraraghavan, Harini;
Apte, Aditya;
Zakian, Kristen;
Hunt, Margie A.;
Deasy, Joseph O.

Publication type:

Article

Simultaneous segmentation and iterative registration method for computing ADC with reduced artifacts from DW-MRI.

Published in:

Medical Physics, 2015, v. 42, n. 5, p. 2249, doi. 10.1118/1.4916799

By:

Veeraraghavan, Harini;
Do, Richard K. G.;
Reidy, Diane L.;
Deasy, Joseph O.

Publication type:

Article

Vision 20/20: Perspectives on automated image segmentation for radiotherapy.

Published in:

Medical Physics, 2014, v. 41, n. 5, p. 1, doi. 10.1118/1.4871620

By:

Sharp, Gregory;
Fritscher, Karl D.;
Pekar, Vladimir;
Peroni, Marta;
Shusharina, Nadya;
Veeraraghavan, Harini;
Yang, Jinzhong

Publication type:

Article

Combined artificial intelligence and radiologist model for predicting rectal cancer treatment response from magnetic resonance imaging: an external validation study.

Published in:

Abdominal Radiology, 2022, v. 47, n. 8, p. 2770, doi. 10.1007/s00261-022-03572-8

By:

Horvat, Natally;
Veeraraghavan, Harini;
Nahas, Caio S. R.;
Bates, ‬David D. B.;
Ferreira, Felipe R.;
Zheng, Junting;
Capanu, Marinela;
Fuqua III, James L.;
Fernandes, Maria Clara;
Sosa, Ramon E.;
Jayaprakasam, Vetri Sudar;
Cerri, Giovanni G.;
Nahas, Sergio C.;
Petkovska, Iva

Publication type:

Article

Clinical utility of radiomics at baseline rectal MRI to predict complete response of rectal cancer after chemoradiation therapy.

Published in:

Abdominal Radiology, 2020, v. 45, n. 11, p. 3608, doi. 10.1007/s00261-020-02502-w

By:

Petkovska, Iva;
Tixier, Florent;
Ortiz, Eduardo J.;
Golia Pernicka, Jennifer S.;
Paroder, Viktoriya;
Bates, David D.;
Horvat, Natally;
Fuqua, James;
Schilsky, Juliana;
Gollub, Marc J.;
Garcia-Aguilar, Julio;
Veeraraghavan, Harini

Publication type:

Article

Association between CT-texture-derived tumor heterogeneity, outcomes, and BRCA mutation status in patients with high-grade serous ovarian cancer.

Published in:

Abdominal Radiology, 2019, v. 44, n. 6, p. 2040, doi. 10.1007/s00261-018-1840-5

By:

Lakhman, Yulia;
Sosa, Ramon;
Sutton, Elizabeth J.;
Hricak, Hedvig;
Vargas, Hebert A.;
Meier, Andreas;
Nougaret, Stephanie;
Sala, Evis;
Veeraraghavan, Harini;
Soslow, Robert A.

Publication type:

Article

A machine learning model that classifies breast cancer pathologic complete response on MRI post-neoadjuvant chemotherapy.

Published in:

2020

By:

Sutton, Elizabeth J;
Onishi, Natsuko;
Fehr, Duc A;
Dashevsky, Brittany Z;
Sadinski, Meredith;
Pinker, Katja;
Martinez, Danny F;
Brogi, Edi;
Braunstein, Lior;
Razavi, Pedram;
El-Tamer, Mahmoud;
Sacchini, Virgilio;
Deasy, Joseph O;
Morris, Elizabeth A;
Veeraraghavan, Harini

Publication type:

journal article

Auto-segmentation of neck nodal metastases using self-distilled masked image transformer on longitudinal MR images.

Published in:

BJR Artificial Intelligence, 2024, v. 1, n. 1, p. 1, doi. 10.1093/bjrai/ubae004

By:

Paudyal, Ramesh;
Jiang, Jue;
Han, James;
Diplas, Bill H;
Riaz, Nadeem;
Hatzoglou, Vaios;
Lee, Nancy;
Deasy, Joseph O;
Veeraraghavan, Harini;
Shukla-Dave, Amita

Publication type:

Article