Pejman Ghanouni

According to our database, Pejman Ghanouni authored at least 11 papers between 2019 and 2023.

Collaborative distances:

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

2023

Changes in the Cerebello-Thalamo-Cortical Network After Magnetic Resonance-Guided Focused Ultrasound Thalamotomy.

Christian Thaler, Qiyuan Tian, Max Wintermark, Pejman Ghanouni, Casey H. Halpern, Jaimie M. Henderson, Raag D. Airan, Michael Zeineh, Maged Goubran, Christoph Leuze, Jens Fiehler, Kim Butts-Pauly, Jennifer A. McNab

Brain Connect., February, 2023

SkullGAN: Synthetic Skull CT Generation with Generative Adversarial Networks.

Kasra Naftchi-Ardebili, Karanpartap Singh, Reza Pourabolghasem, Pejman Ghanouni, Gerald R. Popelka, Kim Butts-Pauly

CoRR, 2023

2022

Selective identification and localization of indolent and aggressive prostate cancers via CorrSigNIA: an MRI-pathology correlation and deep learning framework.

Indrani Bhattacharya, Arun Seetharaman, Christian Kunder, Wei Shao, Leo C. Chen, Simon John Christoph Soerensen, Jeffrey B. Wang, Nikola C. Teslovich, Richard E. Fan, Pejman Ghanouni, James D. Brooks, Geoffrey A. Sonn, Mirabela Rusu

Medical Image Anal., 2022

Integrating zonal priors and pathomic MRI biomarkers for improved aggressive prostate cancer detection on MRI.

Indrani Bhattacharya, Wei Shao, Simon J. C. Soerensen, Richard E. Fan, Jeffrey B. Wang, Christian Kunder, Pejman Ghanouni, Geoffrey A. Sonn, Mirabela Rusu

Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, 2022

2021

3D Registration of pre-surgical prostate MRI and histopathology images via super-resolution volume reconstruction.

Rewa Sood, Wei Shao, Christian Kunder, Nikola C. Teslovich, Jeffrey B. Wang, Simon John Christoph Soerensen, Nikhil Madhuripan, Anugayathri Jawahar, James D. Brooks, Pejman Ghanouni, Richard E. Fan, Geoffrey A. Sonn, Mirabela Rusu

Medical Image Anal., 2021

ProsRegNet: A deep learning framework for registration of MRI and histopathology images of the prostate.

Wei Shao, Linda Banh, Christian A. Kunder, Richard E. Fan, Simon John Christoph Soerensen, Jeffrey B. Wang, Nikola C. Teslovich, Nikhil Madhuripan, Anugayathri Jawahar, Pejman Ghanouni, James D. Brooks, Geoffrey A. Sonn, Mirabela Rusu

Medical Image Anal., 2021

Bridging the gap between prostate radiology and pathology through machine learning.

Indrani Bhattacharya, David S. Lim, Han Lin Aung, Xingchen Liu, Arun Seetharaman, Christian A. Kunder, Wei Shao, Simon John Christoph Soerensen, Richard E. Fan, Pejman Ghanouni, Katherine J. To'o, James D. Brooks, Geoffrey A. Sonn, Mirabela Rusu

CoRR, 2021

Weakly Supervised Registration of Prostate MRI and Histopathology Images.

Wei Shao, Indrani Bhattacharya, Simon John Christoph Soerensen, Christian A. Kunder, Jeffrey B. Wang, Richard E. Fan, Pejman Ghanouni, James D. Brooks, Geoffrey A. Sonn, Mirabela Rusu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Clinically significant prostate cancer detection on MRI with self-supervised learning using image context restoration.

Amir Bolous, Arun Seetharaman, Indrani Bhattacharya, Richard E. Fan, Simon John Christoph Soerensen, Leo C. Chen, Pejman Ghanouni, Geoffrey A. Sonn, Mirabela Rusu

Proceedings of the Medical Imaging 2021: Computer-Aided Diagnosis, 2021

2020

CorrSigNet: Learning CORRelated Prostate Cancer SIGnatures from Radiology and Pathology Images for Improved Computer Aided Diagnosis.

Indrani Bhattacharya, Arun Seetharaman, Wei Shao, Rewa Sood, Christian A. Kunder, Richard E. Fan, Simon John Christoph Soerensen, Jeffrey B. Wang, Pejman Ghanouni, Nikola C. Teslovich, James D. Brooks, Geoffrey A. Sonn, Mirabela Rusu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

2019

Framework for the co-registration of MRI and histology images in prostate cancer patients with radical prostatectomy.

Mirabela Rusu, Christian Kunder, Richard E. Fan, Pejman Ghanouni, Robert B. West, Geoffrey A. Sonn, James D. Brooks

Proceedings of the Medical Imaging 2019: Image Processing, 2019