Pejman Ghanouni
Orcid: 0000-0002-6393-0964
According to our database1,
Pejman Ghanouni
authored at least 13 papers
between 2019 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2024
RAPHIA: A deep learning pipeline for the registration of MRI and whole-mount histopathology images of the prostate.
Comput. Biol. Medicine, 2024
Nested Semi-Transparent Isosurface Simulated Volume-Rendering (NESTIS-VR) - An efficient on-device rendering approach for Augmented Reality headsets increasing surgeon confidence of kidney donor arterial anatomy.
Comput. Biol. Medicine, 2024
2023
Changes in the Cerebello-Thalamo-Cortical Network After Magnetic Resonance-Guided Focused Ultrasound Thalamotomy.
Brain Connect., February, 2023
CoRR, 2023
2022
Selective identification and localization of indolent and aggressive prostate cancers via CorrSigNIA: an MRI-pathology correlation and deep learning framework.
Medical Image Anal., 2022
Integrating zonal priors and pathomic MRI biomarkers for improved aggressive prostate cancer detection on MRI.
Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, San Diego, 2022
2021
3D Registration of pre-surgical prostate MRI and histopathology images via super-resolution volume reconstruction.
Medical Image Anal., 2021
ProsRegNet: A deep learning framework for registration of MRI and histopathology images of the prostate.
Medical Image Anal., 2021
CoRR, 2021
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.
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.
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.
Proceedings of the Medical Imaging 2019: Image Processing, 2019