Synapse - Harini Veeraraghavan

Results (159)

Under-representation for female cancers in commercial auto-segmentation solutions and open-source imaging datasets

Meeting Abstract

Thor, M.; Williams, V. M.; Veeraraghavan, H.; Hajj, C.; Tyagi, N.; Dave, A.; Cervino, L. I.; Moran, J. M.
International Journal of Radiation Oncology, Biology, Physics (2023)

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Clinical feasibility of deep learning-based CT during treatment CBCT tumor registration-segmentation in thoracic radiotherapy (RT)

Meeting Abstract

Choi, C.; Mankuzhy, N. P.; Jiang, J.; Elguindi, S.; Thor, M.; Rimner, A.; Veeraraghavan, H.
International Journal of Radiation Oncology, Biology, Physics (2023)

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AI serial image prediction of progression-free survival (PFS) for locally advanced non-small cell lung cancer (LA-NSCLC) patients treated with chemoradiation (CRT) and durvalumab consolidation

Meeting Abstract

Veeraraghavan, H.; Jiang, J.; Jee, J.; Lebow, E. S.; Deasy, J. O.; Rimner, A.; Shaverdian, N.; Yu, H.; Gomez, D. R.
International Journal of Radiation Oncology, Biology, Physics (2023)

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Tumor immune infiltrates and overall survival in non-small cell lung cancer are associated with an unsupervised radiomic signature

Meeting Abstract

Oh, J. H.; Veeraraghavan, H.; Apte, A.; Tannenbaum, A.; Deasy, J. O.
Journal of Clinical Oncology (2023)

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

Journal Article

Jiang, J.; Hong, J.; Tringale, K.; Reyngold, M.; Crane, C.; Tyagi, N.; Veeraraghavan, H.
Medical Physics (2023)

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

Journal Article

Simeth, J.; Jiang, J.; Nosov, A.; Wibmer, A.; Zelefsky, M.; Tyagi, N.; Veeraraghavan, H.
Medical Physics (2023)

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

Journal Article

Subashi, E.; Segars, P.; Veeraraghavan, H.; Deasy, J.; Tyagi, N.
Medical Physics (2023)

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Artificial intelligence in CT and MR imaging for oncological Applications

Review

Paudyal, R.; Shah, A. D.; Akin, O.; Do, R. K. G.; Konar, A. S.; Hatzoglou, V.; Mahmood, U.; Lee, N.; Wong, R. J.; Banerjee, S.; more...
Cancers (2023)

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Deep learning-based model for identifying tumors in endoscopic images from patients with locally advanced rectal cancer treated with total neoadjuvant therapy

Journal Article

Thompson, H. M.; Kim, J. K.; Jimenez-Rodriguez, R. M.; Garcia-Aguilar, J.; Veeraraghavan, H.
Diseases of the Colon and Rectum (2023)

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Radiomic analysis to predict histopathologically confirmed pseudoprogression in glioblastoma patients

Journal Article

McKenney, A. S.; Weg, E.; Bale, T. A.; Wild, A. T.; Um, H.; Fox, M. J.; Lin, A.; Yang, J. T.; Yao, P.; Birger, M. L.; more...
Advances in Radiation Oncology (2023)

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