Image de couverture de livre

MedShift: Implicit Conditional Transport for X-Ray Domain Adaptation

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Caetano, Francisco, Viviers, Christiaan, De With, Peter H. N., van der Sommen, Fons
Format:	Preprint
Publié:	2025
Sujets:	Computer Vision and Pattern Recognition Artificial Intelligence
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

AdverX-Ray: Ensuring X-Ray Integrity Through Frequency-Sensitive Adversarial VAEs
par: Caetano, Francisco, et autres
Publié: (2025)

Symmetrical Flow Matching: Unified Image Generation, Segmentation, and Classification with Score-Based Generative Models
par: Caetano, Francisco, et autres
Publié: (2025)

MedSymmFlow: Bridging Generative Modeling and Classification in Medical Imaging through Symmetrical Flow Matching
par: Caetano, Francisco, et autres
Publié: (2025)

Zero-Shot Image Anomaly Detection Using Generative Foundation Models
par: Abdi, Lemar, et autres
Publié: (2025)

Can Your Generative Model Detect Out-of-Distribution Covariate Shift?
par: Viviers, Christiaan, et autres
Publié: (2024)

Advancing 6-DoF Instrument Pose Estimation in Variable X-Ray Imaging Geometries
par: Viviers, Christiaan G. A., et autres
Publié: (2024)

Out-of-Distribution Detection in Medical Imaging via Diffusion Trajectories
par: Abdi, Lemar, et autres
Publié: (2025)

DisCoPatch: Taming Adversarially-driven Batch Statistics for Improved Out-of-Distribution Detection
par: Caetano, Francisco, et autres
Publié: (2025)

Scaling Self-Supervised and Cross-Modal Pretraining for Volumetric CT Transformers
par: Claessens, Cris, et autres
Publié: (2025)

Flow-Based Generative Modeling for Optimizing Sampling Policies in Compressed Sensing Applications
par: Pavelkin, Roman, et autres
Publié: (2026)

Investigating and Improving Latent Density Segmentation Models for Aleatoric Uncertainty Quantification in Medical Imaging
par: Valiuddin, M. M. Amaan, et autres
Publié: (2023)

Find the Assembly Mistakes: Error Segmentation for Industrial Applications
par: Lehman, Dan, et autres
Publié: (2024)

Learning to Recognize Correctly Completed Procedure Steps in Egocentric Assembly Videos through Spatio-Temporal Modeling
par: Schoonbeek, Tim J., et autres
Publié: (2025)

Supervised Representation Learning towards Generalizable Assembly State Recognition
par: Schoonbeek, Tim J., et autres
Publié: (2024)

Development and evaluation of CADe systems in low-prevalence setting: The RARE25 challenge for early detection of Barrett's neoplasia
par: Jaspers, Tim J. M., et autres
Publié: (2026)

Contrastive Conditional Alignment based on Label Shift Calibration for Imbalanced Domain Adaptation
par: Sun, Xiaona, et autres
Publié: (2024)

A Review of Bayesian Uncertainty Quantification in Deep Probabilistic Image Segmentation
par: Valiuddin, M. M. A., et autres
Publié: (2024)

Learning Visual Conditioning Tokens to Correct Domain Shift for Fully Test-time Adaptation
par: Tang, Yushun, et autres
Publié: (2024)

Deep Learning-Based Segmentation of Peritoneal Cancer Index Regions from CT Imaging
par: Gort, Pieter C., et autres
Publié: (2026)

SemiVT-Surge: Semi-Supervised Video Transformer for Surgical Phase Recognition
par: Li, Yiping, et autres
Publié: (2025)

Exploring the Effect of Dataset Diversity in Self-Supervised Learning for Surgical Computer Vision
par: Jaspers, Tim J. M., et autres
Publié: (2024)

Prototypical Partial Optimal Transport for Universal Domain Adaptation
par: Yang, Yucheng, et autres
Publié: (2024)

Domain-Conditioned Transformer for Fully Test-time Adaptation
par: Tang, Yushun, et autres
Publié: (2024)

Histopath-C: Towards Realistic Domain Shifts for Histopathology Vision-Language Adaptation
par: Noori, Mehrdad, et autres
Publié: (2026)

X2BR: High-Fidelity 3D Bone Reconstruction from a Planar X-Ray Image with Hybrid Neural Implicit Methods
par: Guven, Gokce, et autres
Publié: (2025)

Class Overwhelms: Mutual Conditional Blended-Target Domain Adaptation
par: Xu, Pengcheng, et autres
Publié: (2023)

HOT: Harmonic-Constrained Optimal Transport for Remote Photoplethysmography Domain Adaptation
par: Nguyen, Ba-Thinh, et autres
Publié: (2026)

Hybrid-TTA: Continual Test-time Adaptation via Dynamic Domain Shift Detection
par: Park, Hyewon, et autres
Publié: (2024)

Multiple Stochastic Prompt Tuning for Few-shot Adaptation under Extreme Domain Shift
par: Brahma, Debarshi, et autres
Publié: (2025)

Dual-Path Adversarial Lifting for Domain Shift Correction in Online Test-time Adaptation
par: Tang, Yushun, et autres
Publié: (2024)

I-MedSAM: Implicit Medical Image Segmentation with Segment Anything
par: Wei, Xiaobao, et autres
Publié: (2023)

Progressive Conditioned Scale-Shift Recalibration of Self-Attention for Online Test-time Adaptation
par: Tang, Yushun, et autres
Publié: (2025)

MedSAM-U: Uncertainty-Guided Auto Multi-Prompt Adaptation for Reliable MedSAM
par: Zhou, Nan, et autres
Publié: (2024)

Addressing Domain Shift via Imbalance-Aware Domain Adaptation in Embryo Development Assessment
par: Li, Lei, et autres
Publié: (2025)

Shedding the Facades, Connecting the Domains: Detecting Shifting Multimodal Hate Video with Test-Time Adaptation
par: Li, Jiao, et autres
Publié: (2026)

Attention-based Class-Conditioned Alignment for Multi-Source Domain Adaptation of Object Detectors
par: Belal, Atif, et autres
Publié: (2024)

Scaling up self-supervised learning for improved surgical foundation models
par: Jaspers, Tim J. M., et autres
Publié: (2025)

IRIS: Intersection-aware Ray-based Implicit Editable Scenes
par: Wilczyński, Grzegorz, et autres
Publié: (2026)

Source-free Domain Adaptation for Video Object Detection Under Adverse Image Conditions
par: Zhang, Xingguang, et autres
Publié: (2024)

Test-Time Domain Adaptation by Learning Domain-Aware Batch Normalization
par: Wu, Yanan, et autres
Publié: (2023)