A review of deep learning-based deformable medical image registration

J Zou, B Gao, Y Song, J Qin - Frontiers in Oncology, 2022 - frontiersin.org
The alignment of images through deformable image registration is vital to clinical
applications (eg, atlas creation, image fusion, and tumor targeting in image-guided …

A review of artificial intelligence in prostate cancer detection on imaging

I Bhattacharya, YS Khandwala… - … advances in urology, 2022 - journals.sagepub.com
A multitude of studies have explored the role of artificial intelligence (AI) in providing
diagnostic support to radiologists, pathologists, and urologists in prostate cancer detection …

Affine medical image registration with coarse-to-fine vision transformer

TCW Mok, A Chung - … of the IEEE/CVF Conference on …, 2022 - openaccess.thecvf.com
Affine registration is indispensable in a comprehensive medical image registration pipeline.
However, only a few studies focus on fast and robust affine registration algorithms. Most of …

RAPHIA: A deep learning pipeline for the registration of MRI and whole-mount histopathology images of the prostate

W Shao, S Vesal, SJC Soerensen… - Computers in Biology …, 2024 - Elsevier
Image registration can map the ground truth extent of prostate cancer from histopathology
images onto MRI, facilitating the development of machine learning methods for early …

Bridging the gap between prostate radiology and pathology through machine learning

I Bhattacharya, DS Lim, HL Aung, X Liu… - Medical …, 2022 - Wiley Online Library
Background Prostate cancer remains the second deadliest cancer for American men despite
clinical advancements. Currently, magnetic resonance imaging (MRI) is considered the most …

External validation of an artificial intelligence model for Gleason grading of prostate cancer on prostatectomy specimens

B Schmidt, SJC Soerensen, HP Bhambhvani… - BJU …, 2025 - Wiley Online Library
Objectives To externally validate the performance of the DeepDx Prostate artificial
intelligence (AI) algorithm (Deep Bio Inc., Seoul, South Korea) for Gleason grading on whole …

End-to-end affine registration framework for histopathological images with weak annotations

Y Lin, Z Liang, Y He, W Huang, T Guan - Computer Methods and Programs …, 2023 - Elsevier
Abstract Background and Objective Histopathological image registration is an essential
component in digital pathology and biomedical image analysis. Deep-learning-based …

Nonfinite-modality data augmentation for brain image registration

Y He, A Wang, S Li, Y Yang, A Hao - Computers in biology and medicine, 2022 - Elsevier
Brain image registration is fundamental for brain medical image analysis. However, the lack
of paired images with diverse modalities and corresponding ground truth deformations for …

Contrastive Feature Decoupling for Weakly-Supervised Disease Detection

JC Wu, DJ Chen, CS Fuh - … Conference on Medical Image Computing and …, 2023 - Springer
Abstract Machine learning based Computer-Aided Diagnosis (CAD) aims to assist clinicians
in the pathological diagnosis process. While dealing with video pathological diagnosis such …

macJNet: weakly-supervised multimodal image deformable registration using joint learning framework and multi-sampling cascaded MIND

Z Zhou, B Hong, X Qian, J Hu, M Shen, J Ji… - BioMedical Engineering …, 2023 - Springer
Deformable multimodal image registration plays a key role in medical image analysis. It
remains a challenge to find accurate dense correspondences between multimodal images …