Transformer-based unsupervised contrastive learning for histopathological image classification

Medical Image Analysis

A review of segmentation methods in short axis cardiac MR images

Caroline Petitjean, Jean‐Nicolas Dacher 2010-12-25 · Read paper → Medical Image Analysis

A review of 3D/2D registration methods for image-guided interventions

Primož Markelj, Dejan Tomaževič et al. 2010-04-14 · Read paper → Medical Image Analysis

Deep neural network models for computational histopathology: A survey

Chetan L. Srinidhi, Ozan Ciga, Anne Louise Martel 2020-09-25 · Read paper → Medical Image Analysis

Diffusion models in medical imaging: A comprehensive survey

Amirhossein Kazerouni, Ehsan Khodapanah Aghdam et al. 2023-05-23 · Read paper → Medical Image Analysis

Segment anything model for medical image analysis: An experimental study

Maciej A. Mazurowski, Haoyu Dong et al. 2023-08-02 · Read paper → Medical Image Analysis

BrainGNN: Interpretable Brain Graph Neural Network for fMRI Analysis

Xiaoxiao Li, Yuan Zhou et al. 2021-09-12 · Read paper → Medical Image Analysis

TransMorph: Transformer for unsupervised medical image registration

Junyu Chen, Eric C. Frey et al. 2022-09-14 · Read paper → Medical Image Analysis

Disease prediction using graph convolutional networks: Application to Autism Spectrum Disorder and Alzheimer’s disease

Sarah Parisot, Sofia Ira Ktena et al. 2018-06-02 · Read paper → Medical Image Analysis

A deep learning model integrating FCNNs and CRFs for brain tumor segmentation

Xiaomei Zhao, Yihong Wu et al. 2017-10-11 · Read paper → Medical Image Analysis

Convolutional neural networks for classification of Alzheimer's disease: Overview and reproducible evaluation

Junhao Wen, Elina Thibeau–Sutre et al. 2020-04-30 · Read paper → Medical Image Analysis

CHAOS Challenge - combined (CT-MR) healthy abdominal organ segmentation

Ali Emre Kavur, Naciye Sinem Gezer et al. 2020-12-25 · Read paper → Medical Image Analysis

A deep learning framework for unsupervised affine and deformable image registration

Bob D. de Vos, Floris F. Berendsen et al. 2018-12-08 · Read paper →