Cover Image

MedSymmFlow: Bridging Generative Modeling and Classification in Medical Imaging through Symmetrical Flow Matching

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Caetano, Francisco, Abdi, Lemar, Viviers, Christiaan, Valiuddin, Amaan, van der Sommen, Fons
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Zero-Shot Image Anomaly Detection Using Generative Foundation Models
by: Abdi, Lemar, et al.
Published: (2025)

Out-of-Distribution Detection in Medical Imaging via Diffusion Trajectories
by: Abdi, Lemar, et al.
Published: (2025)

Can Your Generative Model Detect Out-of-Distribution Covariate Shift?
by: Viviers, Christiaan, et al.
Published: (2024)

Symmetrical Flow Matching: Unified Image Generation, Segmentation, and Classification with Score-Based Generative Models
by: Caetano, Francisco, et al.
Published: (2025)

MedShift: Implicit Conditional Transport for X-Ray Domain Adaptation
by: Caetano, Francisco, et al.
Published: (2025)

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

Flow-Based Generative Modeling for Optimizing Sampling Policies in Compressed Sensing Applications
by: Pavelkin, Roman, et al.
Published: (2026)

AdverX-Ray: Ensuring X-Ray Integrity Through Frequency-Sensitive Adversarial VAEs
by: Caetano, Francisco, et al.
Published: (2025)

DisCoPatch: Taming Adversarially-driven Batch Statistics for Improved Out-of-Distribution Detection
by: Caetano, Francisco, et al.
Published: (2025)

Scaling Self-Supervised and Cross-Modal Pretraining for Volumetric CT Transformers
by: Claessens, Cris, et al.
Published: (2025)

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

A Review of Bayesian Uncertainty Quantification in Deep Probabilistic Image Segmentation
by: Valiuddin, M. M. A., et al.
Published: (2024)

MedFlowSeg: Flow Matching for Medical Image Segmentation with Frequency-Aware Attention
by: Chen, Zhi, et al.
Published: (2026)

Flow Matching for Medical Image Synthesis: Bridging the Gap Between Speed and Quality
by: Yazdani, Milad, et al.
Published: (2025)

FlowSDF: Flow Matching for Medical Image Segmentation Using Distance Transforms
by: Bogensperger, Lea, et al.
Published: (2024)

CurveFlow: Curvature-Guided Flow Matching for Image Generation
by: Luo, Yan, et al.
Published: (2025)

FlowInOne:Unifying Multimodal Generation as Image-in, Image-out Flow Matching
by: Yi, Junchao, et al.
Published: (2026)

LatentFM: A Latent Flow Matching Approach for Generative Medical Image Segmentation
by: Ngoc, Huynh Trinh, et al.
Published: (2025)

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

CrossFlowDG: Bridging the Modality Gap with Cross-modal Flow Matching for Domain Generalization
by: Kritikos, Antonios, et al.
Published: (2026)

MedOpenClaw and MedFlowBench: Auditing Medical Agents in Full-Study Workflows
by: Shen, Weixiang, et al.
Published: (2026)

Ambiguity-aware Truncated Flow Matching for Ambiguous Medical Image Segmentation
by: Li, Fanding, et al.
Published: (2025)

Flow Matching with Optimized Subclass Priors for Medical Image Augmentation
by: Nützel, Felix, et al.
Published: (2026)

Deep Learning-Based Segmentation of Peritoneal Cancer Index Regions from CT Imaging
by: Gort, Pieter C., et al.
Published: (2026)

FlowAR: Scale-wise Autoregressive Image Generation Meets Flow Matching
by: Ren, Sucheng, et al.
Published: (2024)

IR-Flow: Bridging Discriminative and Generative Image Restoration via Rectified Flow
by: Fan, Zihao, et al.
Published: (2026)

LayoutFlow: Flow Matching for Layout Generation
by: Guerreiro, Julian Jorge Andrade, et al.
Published: (2024)

Evidence-Grounded Frontier Mapping and Agentic Hypothesis Generation in Nanomedicine
by: Viviers, Christiaan G. A., et al.
Published: (2026)

Aleatoric Uncertainty Medical Image Segmentation Estimation via Flow Matching
by: Van Nguyen, Phi, et al.
Published: (2025)

Graph Flow Matching: Enhancing Image Generation with Neighbor-Aware Flow Fields
by: Siddiqui, Md Shahriar Rahim, et al.
Published: (2025)

Find the Assembly Mistakes: Error Segmentation for Industrial Applications
by: Lehman, Dan, et al.
Published: (2024)

MicarVLMoE: A Modern Gated Cross-Aligned Vision-Language Mixture of Experts Model for Medical Image Captioning and Report Generation
by: Izhar, Amaan, et al.
Published: (2025)

Purrception: Variational Flow Matching for Vector-Quantized Image Generation
by: Matişan, Răzvan-Andrei, et al.
Published: (2025)

Restora-Flow: Mask-Guided Image Restoration with Flow Matching
by: Hadzic, Arnela, et al.
Published: (2025)

MedMamba: Vision Mamba for Medical Image Classification
by: Yue, Yubiao, et al.
Published: (2024)

PySymmPol: Symmetric Polynomials in Python
by: Araujo, Thiago
Published: (2024)

Frequency-Aware Flow Matching for High-Quality Image Generation
by: Ren, Sucheng, et al.
Published: (2026)

FAIL: Flow Matching Adversarial Imitation Learning for Image Generation
by: Ma, Yeyao, et al.
Published: (2026)

Aligning Latent Geometry for Spherical Flow Matching in Image Generation
by: Meral, Tuna Han Salih, et al.
Published: (2026)

MedKAN: An Advanced Kolmogorov-Arnold Network for Medical Image Classification
by: Yang, Zhuoqin, et al.
Published: (2025)