Cover Image

Evaluating unsupervised contrastive learning framework for MRI sequences classification

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wang, Yuli, Iyer, Kritika, Farhand, Sep, Shinagawa, Yoshihisa
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition Image and Video Processing
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

SUFFICIENT: A scan-specific unsupervised deep learning framework for high-resolution 3D isotropic fetal brain MRI reconstruction
by: Wu, Jiangjie, et al.
Published: (2025)

DIMA: DIffusing Motion Artifacts for unsupervised correction in brain MRI images
by: Angella, Paolo, et al.
Published: (2025)

BrainVoxGen: Deep learning framework for synthesis of Ultrasound to MRI
by: Singh, Shubham, et al.
Published: (2023)

To deform or not: treatment-aware longitudinal registration for breast DCE-MRI during neoadjuvant chemotherapy via unsupervised keypoints detection
by: Han, Luyi, et al.
Published: (2024)

Compound Attention and Neighbor Matching Network for Multi-contrast MRI Super-resolution
by: Chen, Wenxuan, et al.
Published: (2023)

Temporal Neural Cellular Automata: Application to modeling of contrast enhancement in breast MRI
by: Lang, Daniel M., et al.
Published: (2025)

Spatiotemporal implicit neural representation for unsupervised dynamic MRI reconstruction
by: Feng, Jie, et al.
Published: (2022)

Single-subject Multi-contrast MRI Super-resolution via Implicit Neural Representations
by: McGinnis, Julian, et al.
Published: (2023)

Towards contrast- and pathology-agnostic clinical fetal brain MRI segmentation using SynthSeg
by: Shang, Ziyao, et al.
Published: (2025)

CoNeS: Conditional neural fields with shift modulation for multi-sequence MRI translation
by: Chen, Yunjie, et al.
Published: (2023)

Skull-stripping induces shortcut learning in MRI-based Alzheimer's disease classification
by: Tinauer, Christian, et al.
Published: (2025)

Standardized CycleGAN training for unsupervised stain adaptation in invasive carcinoma classification for breast histopathology
by: Nerrienet, Nicolas, et al.
Published: (2023)

Evaluation of 3D Counterfactual Brain MRI Generation
by: Sun, Pengwei, et al.
Published: (2025)

An unsupervised method for MRI recovery: Deep image prior with structured sparsity
by: Sultan, Muhammad Ahmad, et al.
Published: (2025)

Deep learning and classical computer vision techniques in medical image analysis: Case studies on brain MRI tissue segmentation, lung CT COPD registration, and skin lesion classification
by: Tweneboah, Anyimadu Daniel, et al.
Published: (2025)

denoiSplit: a method for joint microscopy image splitting and unsupervised denoising
by: Ashesh, Ashesh, et al.
Published: (2024)

Multiscale Softmax Cross Entropy for Fovea Localization on Color Fundus Photography
by: Wu, Yuli, et al.
Published: (2021)

WAL-Net: Weakly supervised auxiliary task learning network for carotid plaques classification
by: Gan, Haitao, et al.
Published: (2024)

Enhanced fringe-to-phase framework using deep learning
by: Kim, Won-Hoe, et al.
Published: (2024)

A dual-task mutual learning framework for predicting post-thrombectomy cerebral hemorrhage
by: Jiang, Caiwen, et al.
Published: (2024)

High Accuracy Pulmonary Vessel Segmentation for Contrast and Non-contrast CT Images and Clinical Evaluation
by: Ming, Ying, et al.
Published: (2025)

A multi-stage semi-supervised learning for ankle fracture classification on CT images
by: Liu, Hongzhi, et al.
Published: (2024)

Towards a unified view of unsupervised non-local methods for image denoising: the NL-Ridge approach
by: Herbreteau, Sébastien, et al.
Published: (2022)

Physical prior guided cooperative learning framework for joint turbulence degradation estimation and infrared video restoration
by: Zhang, Ziran, et al.
Published: (2024)

Eddeep: Fast eddy-current distortion correction for diffusion MRI with deep learning
by: Legouhy, Antoine, et al.
Published: (2024)

A lightweight deep learning pipeline with DRDA-Net and MobileNet for breast cancer classification
by: Ahmadi, Mahdie, et al.
Published: (2024)

Transformer-based cardiac substructure segmentation from contrast and non-contrast computed tomography for radiotherapy planning
by: Rangnekar, Aneesh, et al.
Published: (2025)

Deep infant brain segmentation from multi-contrast MRI
by: Hoffmann, Malte, et al.
Published: (2025)

Converting T1-weighted MRI from 3T to 7T quality using deep learning
by: Gicquel, Malo, et al.
Published: (2025)

BraSyn 2023 challenge: Missing MRI synthesis and the effect of different learning objectives
by: Baltruschat, Ivo M., et al.
Published: (2024)

Evaluating the Impact of Sequence Combinations on Breast Tumor Segmentation in Multiparametric MRI
by: Min, Hang, et al.
Published: (2024)

A generalizable 3D framework and model for self-supervised learning in medical imaging
by: Xu, Tony, et al.
Published: (2025)

Glioma subtype classification from histopathological images using in-domain and out-of-domain transfer learning: An experimental study
by: Despotovic, Vladimir, et al.
Published: (2023)

CycleULM: A unified label-free deep learning framework for ultrasound localisation microscopy
by: Yan, Su, et al.
Published: (2026)

An automated machine learning framework to optimize radiomics model construction validated on twelve clinical applications
by: Starmans, Martijn P. A., et al.
Published: (2021)

Evaluating the Predictive Value of Preoperative MRI for Erectile Dysfunction Following Radical Prostatectomy
by: Rouwendaal, Gideon N. L., et al.
Published: (2025)

MoRe-3DGSMR: Motion-resolved reconstruction framework for free-breathing pulmonary MRI based on 3D Gaussian representation
by: Peng, Tengya, et al.
Published: (2025)

Annotation-free deep learning for detection and segmentation of fetal germinal matrix-intraventricular hemorrhage in brain MRI
by: Liu, Mingxuan, et al.
Published: (2026)

T1-contrast Enhanced MRI Generation from Multi-parametric MRI for Glioma Patients with Latent Tumor Conditioning
by: Eidex, Zach, et al.
Published: (2024)

Towards contrast-agnostic soft segmentation of the spinal cord
by: Bédard, Sandrine, et al.
Published: (2023)