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Raj M. Paspulati
Person information
- affiliation: Case Western Reserve University, Cleveland, OH, USA
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2020 – today
- 2023
- [c7]Thomas DeSilvio, Leo Bao, Dhruv Seth, Prathyush Chirra, Sneha Singh, Atreya Sridharan, Murad Labbad, Katherine Bingmer, Diana Jodeh, Eric L. Marderstein, Rajmohan Paspulati, David Liska, Kenneth Friedman, Smitha S. Krishnamurthi, Sharon L. Stein, Andrei S. Purysko, Satish E. Viswanath:
Integrating multi-plane and multi-region radiomic features to predict pathologic response to neoadjuvant chemoradiation in rectal cancers via pre-treatment MRI. Medical Imaging: Image-Guided Procedures 2023 - 2022
- [c6]Amir Reza Sadri, Thomas DeSilvio, Prathyush Chirra, Andrei S. Purysko, Rajmohan Paspulati, Kenneth Friedman, Smitha S. Krishnamurthi, David Liska, Sharon L. Stein, Satish E. Viswanath:
Deep hybrid convolutional wavelet networks: application to predicting response to chemoradiation in rectal cancers via MRI. Medical Imaging: Computer-Aided Diagnosis 2022 - 2021
- [j1]Atallah Baydoun, Ke Xu, Jin Uk Heo, Huan Yang, Feifei Zhou, Latoya A. Bethell, Elisha T. Fredman, Rodney J. Ellis, Tarun Kanti Podder, Melanie S. Traughber, Raj M. Paspulati, Pengjiang Qian, Bryan J. Traughber, Raymond F. Muzic Jr.:
Synthetic CT Generation of the Pelvis in Patients With Cervical Cancer: A Single Input Approach Using Generative Adversarial Network. IEEE Access 9: 17208-17221 (2021) - 2020
- [c5]Amrish Selvam, Jacob Antunes, Kaustav Bera, Asya Ofshteyn, Justin T. Brady, Katherine Bingmer, Kenneth Friedman, Sharon L. Stein, Rajmohan Paspulati, Andrei S. Purysko, Matthew Kalady, Anant Madabhushi, Satish E. Viswanath:
Multi-site evaluation of stable radiomic features for more accurate evaluation of pathologic downstaging on MRI after chemoradiation for rectal cancers. Medical Imaging: Computer-Aided Diagnosis 2020 - [c4]Siddhartha Nanda, Jacob T. Antunes, Kaustav Bera, Justin T. Brady, Kenneth Friedman, Joseph E. Willis, Raj M. Paspulati, Satish E. Viswanath:
Texture kinetic features from pre-treatment DCE MRI for predicting pathologic tumor stage regression after neoadjuvant chemoradiation in rectal cancers. Medical Imaging: Image-Guided Procedures 2020: 1131530
2010 – 2019
- 2019
- [c3]Siddhartha Nanda, Jacob T. Antunes, Amrish Selvam, Kaustav Bera, Justin T. Brady, Jayakrishna Gollamudi, Kenneth Friedman, Joseph E. Willis, Conor P. Delaney, Raj M. Paspulati, Anant Madabhushi, Satish E. Viswanath:
Integrating radiomic features from T2-weighted and contrast-enhanced MRI to evaluate pathologic rectal tumor regression after chemoradiation. Medical Imaging: Image-Guided Procedures 2019: 109512R - [c2]Michael C. Yim, Zhouping Wei, Jacob Antunes, Neil K. R. Sehgal, Kaustav Bera, Justin T. Brady, Kenneth Friedman, Joseph E. Willis, Andrei S. Purysko, Raj M. Paspulati, Anant Madabhushi, Satish E. Viswanath:
Radiomic characterization of perirectal fat on MRI enables accurate assessment of tumor regression and lymph node metastasis in rectal cancers after chemoradiation. Medical Imaging: Image-Guided Procedures 2019: 109512A - [c1]Thomas DeSilvio, Jacob Antunes, Prathyush Chirra, Kaustav Bera, Jay Gollamudi, Raj M. Paspulati, Conor P. Delaney, Satish E. Viswanath:
Region-specific fully convolutional networks for segmentation of the rectal wall on post-chemoradiation T2w MRI. Medical Imaging: Image-Guided Procedures 2019: 1095134
Coauthor Index
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