Christian Kunder

According to our database1, Christian Kunder authored at least 14 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

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

2023
Critical Evaluation of Artificial Intelligence as Digital Twin of Pathologist for Prostate Cancer Pathology.
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

Bridging the gap between prostate radiology and pathology through machine learning.
CoRR, 2021

Weakly Supervised Registration of Prostate MRI and Histopathology Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

2020
Increasing Clinical Trial Accrual via Automated Matching of Biomarker Criteria.
Proceedings of the Pacific Symposium on Biocomputing 2020, 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
Biologic and Prognostic Feature Scores from Whole-Slide Histology Images Using Deep Learning.
CoRR, 2019

Deep Learning for Prostate Pathology.
CoRR, 2019

Plexus Convolutional Neural Network (PlexusNet): A novel neural network architecture for histologic image analysis.
CoRR, 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


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