:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Zhang, Le, Wu, Fuping, Thirunavukarasu, Arun, Bronik, Kevin, Nichols, Thomas, Papiez, Bartlomiej W.
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition Machine Learning
Online Access:	https://arxiv.org/abs/2508.18186
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Rethinking Foundation Models for Medical Image Classification through a Benchmark Study on MedMNIST
by: Wu, Fuping, et al.
Published: (2025)

KneeXNeT: An Ensemble-Based Approach for Knee Radiographic Evaluation
by: Srikijkasemwat, Nicharee, et al.
Published: (2024)

SpineFM: Leveraging Foundation Models for Automatic Spine X-ray Segmentation
by: Simons, Samuel J., et al.
Published: (2024)

Exploring the Effectiveness of Deep Features from Domain-Specific Foundation Models in Retinal Image Synthesis
by: Skorniewska, Zuzanna, et al.
Published: (2025)

Interpretable Rheumatoid Arthritis Scoring via Anatomy-aware Multiple Instance Learning
by: Bo, Zhiyan, et al.
Published: (2025)

Paired Diffusion: Generation of related, synthetic PET-CT-Segmentation scans using Linked Denoising Diffusion Probabilistic Models
by: Bradbury, Rowan, et al.
Published: (2024)

Deep Learning Models to Automate the Scoring of Hand Radiographs for Rheumatoid Arthritis
by: Bo, Zhiyan, et al.
Published: (2024)

Uncertainty-Supervised Interpretable and Robust Evidential Segmentation
by: Li, Yuzhu, et al.
Published: (2025)

Deep Learning Ensemble for Predicting Diabetic Macular Edema Onset Using Ultra-Wide Field Color Fundus Image
by: Qin, Pengyao, et al.
Published: (2024)

On Biases in a UK Biobank-based Retinal Image Classification Model
by: Alloula, Anissa, et al.
Published: (2024)

Prediction of recurrence free survival of head and neck cancer using PET/CT radiomics and clinical information
by: Furukawa, Mona, et al.
Published: (2024)

Deformation-Recovery Diffusion Model (DRDM): Instance Deformation for Image Manipulation and Synthesis
by: Zheng, Jian-Qing, et al.
Published: (2024)

Spinal Osteophyte Detection via Robust Patch Extraction on minimally annotated X-rays
by: Kundu, Soumya Snigdha, et al.
Published: (2024)

Multimodal Deformable Image Registration for Long-COVID Analysis Based on Progressive Alignment and Multi-perspective Loss
by: Li, Jiahua, et al.
Published: (2024)

COARSE: Collaborative Pseudo-Labeling with Coarse Real Labels for Off-Road Semantic Segmentation
by: Noca, Aurelio, et al.
Published: (2025)

Emerging Trends in Pseudo-Label Refinement for Weakly Supervised Semantic Segmentation with Image-Level Supervision
by: Zhang, Zheyuan, et al.
Published: (2025)

DA-SegFormer: Damage-Aware Semantic Segmentation for Fine-Grained Disaster Assessment
by: Zhu, Kevin, et al.
Published: (2026)

3D Semantic Segmentation for Post-Disaster Assessment
by: Le, Nhut, et al.
Published: (2025)

WBCBench 2026: A Challenge for Robust White Blood Cell Classification Under Class Imbalance
by: Tian, Xin, et al.
Published: (2026)

Recursive Deformable Image Registration Network with Mutual Attention
by: Zheng, Jian-Qing, et al.
Published: (2022)

LPOSS: Label Propagation Over Patches and Pixels for Open-vocabulary Semantic Segmentation
by: Stojnić, Vladan, et al.
Published: (2025)

From Semantics to Pixels: Coarse-to-Fine Masked Autoencoders for Hierarchical Visual Understanding
by: Xiang, Wenzhao, et al.
Published: (2026)

Learning Ordinality in Semantic Segmentation
by: Cruz, Ricardo P. M., et al.
Published: (2024)

Deep Positive-Negative Prototypes for Adversarially Robust Discriminative Prototypical Learning
by: Sabzevar, Ramin Zarei, et al.
Published: (2025)

Residual Aligner Network
by: Zheng, Jian-Qing, et al.
Published: (2022)

Learning to Generate Training Datasets for Robust Semantic Segmentation
by: Hariat, Marwane, et al.
Published: (2023)

Principle-Guided Supervision for Interpretable Uncertainty in Medical Image Segmentation
by: Sui, An, et al.
Published: (2026)

A Deep Positive-Negative Prototype Approach to Integrated Prototypical Discriminative Learning
by: Zarei-Sabzevar, Ramin, et al.
Published: (2025)

TiBiX: Leveraging Temporal Information for Bidirectional X-ray and Report Generation
by: Sanjeev, Santosh, et al.
Published: (2024)

Learning from Unlabelled Data with Transformers: Domain Adaptation for Semantic Segmentation of High Resolution Aerial Images
by: Dionelis, Nikolaos, et al.
Published: (2024)

Label-free Neural Semantic Image Synthesis
by: Wang, Jiayi, et al.
Published: (2024)

Active Learning with Context Sampling and One-vs-Rest Entropy for Semantic Segmentation
by: Wu, Fei, et al.
Published: (2024)

OPTNet: Ordering Point Transformer Network for Post-disaster 3D Semantic Segmentation
by: Le, Nhut, et al.
Published: (2026)

Using Unreliable Pseudo-Labels for Label-Efficient Semantic Segmentation
by: Wang, Haochen, et al.
Published: (2023)

Exploring Single Domain Generalization of LiDAR-based Semantic Segmentation under Imperfect Labels
by: Kong, Weitong, et al.
Published: (2025)

A Semantic Segmentation-guided Approach for Ground-to-Aerial Image Matching
by: Pro, Francesco, et al.
Published: (2024)

Towards Robust Pseudo-Label Learning in Semantic Segmentation: An Encoding Perspective
by: Li, Wangkai, et al.
Published: (2025)

Negative Label Guided OOD Detection with Pretrained Vision-Language Models
by: Jiang, Xue, et al.
Published: (2024)

Early Preparation Pays Off: New Classifier Pre-tuning for Class Incremental Semantic Segmentation
by: Xie, Zhengyuan, et al.
Published: (2024)

RefineSeg: Dual Coarse-to-Fine Learning for Medical Image Segmentation
by: Du, Anghong, et al.
Published: (2025)