Rajesh Venkataraman

According to our database, Rajesh Venkataraman authored at least 10 papers between 2015 and 2024.

Collaborative distances:

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

2024

Reliable Prostate Cancer Risk Mapping From MRI Using Targeted and Systematic Core Needle Biopsy Histopathology.

Tal Ze'evi, Michael S. Leapman, Preston C. Sprenkle, Rajesh Venkataraman, Lawrence H. Staib, John A. Onofrey

IEEE Trans. Biomed. Eng., March, 2024

Monte-Carlo Frequency Dropout for Predictive Uncertainty Estimation in Deep Learning.

Tal Ze'evi, Rajesh Venkataraman, Lawrence H. Staib, John A. Onofrey

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023

Integrating Prostate Specific Antigen Density Biomarker Into Deep Learning Prostate MRI Lesion Segmentation Models.

Jiayang Zhong, Lawrence H. Staib, Rajesh Venkataraman, John A. Onofrey

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

2022

Atlas-Based Semantic Segmentation of Prostate Zones.

Jiazhen Zhang, Rajesh Venkataraman, Lawrence H. Staib, John A. Onofrey

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2019

Generalizable Multi-Site Training and Testing Of Deep Neural Networks Using Image Normalization.

John A. Onofrey, Dana I. Casetti-Dinescu, Andreas D. Lauritzen, Saradwata Sarkar, Rajesh Venkataraman, Richard E. Fan, Geoffrey A. Sonn, Preston C. Sprenkle, Lawrence H. Staib, Xenophon Papademetris

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

2017

Learning Non-rigid Deformations for Robust, Constrained Point-based Registration in Image-Guided MR-TRUS Prostate Intervention.

John A. Onofrey, Lawrence H. Staib, Saradwata Sarkar, Rajesh Venkataraman, Cayce B. Nawaf, Preston C. Sprenkle, Xenophon Papademetris

Medical Image Anal., 2017

2016

Combining population and patient-specific characteristics for prostate segmentation on 3D CT images.

Ling Ma, Rongrong Guo, Zhiqiang Tian, Rajesh Venkataraman, Saradwata Sarkar, Xiabi Liu, Funmilayo Tade, David M. Schuster, Baowei Fei

Proceedings of the Medical Imaging 2016: Image Processing, 2016

Random walk based segmentation for the prostate on 3D transrectal ultrasound images.

Ling Ma, Rongrong Guo, Zhiqiang Tian, Rajesh Venkataraman, Saradwata Sarkar, Xiabi Liu, Peter T. Nieh, Viraj V. Master, David M. Schuster, Baowei Fei

Proceedings of the Medical Imaging 2016: Image-Guided Procedures, Robotic Interventions, and Modeling, San Diego, California, United States, 27 February, 2016

MRI-TRUS Image Synthesis with Application to Image-Guided Prostate Intervention.

John A. Onofrey, Ilkay Öksüz, Saradwata Sarkar, Rajesh Venkataraman, Lawrence H. Staib, Xenophon Papademetris

Proceedings of the Simulation and Synthesis in Medical Imaging, 2016

2015

Learning nonrigid deformations for constrained point-based registration for image-guided MR-TRUS prostate intervention.

John A. Onofrey, Lawrence H. Staib, Saradwata Sarkar, Rajesh Venkataraman, Xenophon Papademetris

Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015