Abhejit Rajagopal

According to our database, Abhejit Rajagopal authored at least 12 papers between 2016 and 2025.

Collaborative distances:

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

2025

scGeneScope: A Treatment-Matched Single Cell Imaging and Transcriptomics Dataset and Benchmark for Treatment Response Modeling.

Joel Dapello, Marcel Nassar, Ridvan Eksi, Ban Wang, Jules Gagnon-Marchand, Kenneth T. Gao, Akram Baharlouei, Kyra Thrush, Nina Riehs, Amy Peterson, Aniket A. Tolpadi, Abhejit Rajagopal, Henry Miller, Ashley Conard, David Alvarez-Melis, Rory Stark, Simone Bianco, Morgan Levine, Ava Amini, Alex X. Lu, Nicolò Fusi, Ravi Pandya, Valentina Pedoia, Hana El-Samad

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

2024

Mixed Supervision of Histopathology Improves Prostate Cancer Classification From MRI.

Abhejit Rajagopal, Antonio C. Westphalen, Nathan Velarde, Jeffry P. Simko, Hao Nguyen, Thomas A. Hope, Peder E. Z. Larson, Kirti Magudia

IEEE Trans. Medical Imaging, July, 2024

2022

Mixed Supervision of Histopathology Improves Prostate Cancer Classification from MRI.

Abhejit Rajagopal, Antonio C. Westphalen, Nathan Velarde, Tim Ullrich, Jeffry P. Simko, Hao Nguyen, Thomas A. Hope, Peder E. Z. Larson, Kirti Magudia

CoRR, 2022

Physics-driven Deep Learning for PET/MRI.

Abhejit Rajagopal, Andrew P. Leynes, Nicholas Dwork, Jessica E. Scholey, Thomas A. Hope, Peder E. Z. Larson

CoRR, 2022

Synthetic PET via Domain Translation of 3D MRI.

Abhejit Rajagopal, Yutaka Natsuaki, Kristen A. Wangerin, Mahdjoub Hamdi, Hongyu An, John J. Sunderland, Richard Laforest, Paul E. Kinahan, Peder E. Z. Larson, Thomas A. Hope

CoRR, 2022

Federated Learning with Research Prototypes for Multi-Center MRI-based Detection of Prostate Cancer with Diverse Histopathology.

Abhejit Rajagopal, Ekaterina Redekop, Anil Kemisetti, Rushi Kulkarni, Steven S. Raman, Kirti Magudia, Corey W. Arnold, Peder E. Z. Larson

CoRR, 2022

2021

Understanding and Visualizing Generalization in UNets.

Abhejit Rajagopal, Vamshi Chowdary Madala, Thomas A. Hope, Peder E. Z. Larson

Proceedings of the Medical Imaging with Deep Learning, 7-9 July 2021, Lübeck, Germany., 2021

2020

Predicting Generalization in Deep Learning via Local Measures of Distortion.

Abhejit Rajagopal, Vamshi C. Madala, Shivkumar Chandrasekaran, Peder E. Z. Larson

CoRR, 2020

2019

High-Dimensional Polynomial Approximation with Applications in Imaging and Recognition.

Abhejit Rajagopal

PhD thesis, 2019

2018

Deep Algorithms: designs for networks.

Abhejit Rajagopal, Shivkumar Chandrasekaran, Hrushikesh Narhar Mhaskar

CoRR, 2018

Fast Algorithms for Displacement and Low-Rank Structured Matrices.

Shivkumar Chandrasekaran, Nithin Govindarajan, Abhejit Rajagopal

Proceedings of the 2018 ACM on International Symposium on Symbolic and Algebraic Computation, 2018

2016

Noise reduction in intracranial pressure signal using causal shape manifolds.

Abhejit Rajagopal, Robert B. Hamilton, Fabien Scalzo

Biomed. Signal Process. Control., 2016