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Rajat Thawani
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Journal Articles
- 2022
- [j2]Rajat Thawani, Lina Gao, Ajay Mohinani, Alina Tudorica, Xin Li, Zahi Mitri, Wei Huang:
Quantitative DCE-MRI prediction of breast cancer recurrence following neoadjuvant chemotherapy: a preliminary study. BMC Medical Imaging 22(1): 182 (2022) - 2020
- [j1]Marwa Ismail, Virginia B. Hill, Volodymyr Statsevych, Evan Mason, Ramon Correa, Prateek Prasanna, Gagandeep Singh, Kaustav Bera, Rajat Thawani, Manmeet Ahluwalia, Anant Madabhushi, Pallavi Tiwari:
Can Tumor Location on Pre-treatment MRI Predict Likelihood of Pseudo-Progression vs. Tumor Recurrence in Glioblastoma? - A Feasibility Study. Frontiers Comput. Neurosci. 14: 563439 (2020)
Conference and Workshop Papers
- 2018
- [c2]Iulia Barbur, Jacob Kurowski, Kaustav Bera, Rajat Thawani, Jean-Paul Achkar, Claudio Fiocchi, Marsha Kay, Rishi Gupta, Satish Viswanath:
Automated segmentation and radiomic characterization of visceral fat on bowel MRIs for Crohn's disease. Image-Guided Procedures 2018: 1057615 - 2017
- [c1]Soumya Ghose, Rakesh Shiradkar, Mirabela Rusu, Jhimli Mitra, Rajat Thawani, Michael D. Feldman, Amar Gupta, Andrei S. Purysko, Lee Ponsky, Anant Madabhushi:
Field Effect Induced Organ Distension (FOrge) Features Predicting Biochemical Recurrence from Pre-treatment Prostate MRI. MICCAI (2) 2017: 442-449
Informal and Other Publications
- 2020
- [i1]Marwa Ismail, Virginia B. Hill, Volodymyr Statsevych, Evan Mason, Ramon Correa, Prateek Prasanna, Gagandeep Singh, Kaustav Bera, Rajat Thawani, Anant Madabhushi, Manmeet Ahluwalia, Pallavi Tiwari:
Can tumor location on pre-treatment MRI predict likelihood of pseudo-progression versus tumor recurrence in Glioblastoma? A feasibility study. CoRR abs/2006.09483 (2020)
Coauthor Index
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