Rajat Thawani

According to our database, Rajat Thawani authored at least 5 papers between 2017 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

Quantitative DCE-MRI prediction of breast cancer recurrence following neoadjuvant chemotherapy: a preliminary study.

Rajat Thawani, Lina Gao, Ajay Mohinani, Alina Tudorica, Xin Li, Zahi Mitri, Wei Huang

BMC Medical Imaging, 2022

2020

Can Tumor Location on Pre-treatment MRI Predict Likelihood of Pseudo-Progression vs. Tumor Recurrence in Glioblastoma? - A Feasibility Study.

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

Frontiers Comput. Neurosci., 2020

Can tumor location on pre-treatment MRI predict likelihood of pseudo-progression versus tumor recurrence in Glioblastoma? A feasibility study.

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

CoRR, 2020

2018

Automated segmentation and radiomic characterization of visceral fat on bowel MRIs for Crohn's disease.

Iulia Barbur, Jacob Kurowski, Kaustav Bera, Rajat Thawani, Jean-Paul Achkar, Claudio Fiocchi, Marsha Kay, Rishi Gupta, Satish Viswanath

Proceedings of the Medical Imaging 2018: Image-Guided Procedures, 2018

2017

Field Effect Induced Organ Distension (FOrge) Features Predicting Biochemical Recurrence from Pre-treatment Prostate MRI.

Soumya Ghose, Rakesh Shiradkar, Mirabela Rusu, Jhimli Mitra, Rajat Thawani, Michael D. Feldman, Amar Gupta, Andrei S. Purysko, Lee Ponsky, Anant Madabhushi

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017