:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Monon, Mashrafi, Rahman, Umaima, Hanif, Asif, Saeed, Numan, Yaqub, Mohammad
Format:	Preprint
Published:	2026
Subjects:	Computer Vision and Pattern Recognition
Online Access:	https://arxiv.org/abs/2605.08787
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

DARK: Diagonal-Anchored Repulsive Knowledge Distillation for Vision-Language Models under Extreme Compression
by: Saeed, Numan, et al.
Published: (2026)

FETAL-GAUGE: A Benchmark for Assessing Vision-Language Models in Fetal Ultrasound
by: Alasmawi, Hussain, et al.
Published: (2025)

On Evaluating Adversarial Robustness of Volumetric Medical Segmentation Models
by: Malik, Hashmat Shadab, et al.
Published: (2024)

DiMPLe -- Disentangled Multi-Modal Prompt Learning: Enhancing Out-Of-Distribution Alignment with Invariant and Spurious Feature Separation
by: Rahman, Umaima, et al.
Published: (2025)

PEMMA: Parameter-Efficient Multi-Modal Adaptation for Medical Image Segmentation
by: Saadi, Nada, et al.
Published: (2024)

Decoupling Clinical and Class-Agnostic Features for Reliable Few-Shot Adaptation under Shift
by: Rahman, Umaima, et al.
Published: (2025)

DuPLUS: Dual-Prompt Vision-Language Framework for Universal Medical Image Segmentation and Prognosis
by: Saeed, Numan, et al.
Published: (2025)

MAFM^3: Modular Adaptation of Foundation Models for Multi-Modal Medical AI
by: Qazi, Mohammad Areeb, et al.
Published: (2025)

UNICON: UNIfied CONtinual Learning for Medical Foundational Models
by: Qazi, Mohammad Areeb, et al.
Published: (2025)

In-Model Merging for Enhancing the Robustness of Medical Imaging Classification Models
by: Wang, Hu, et al.
Published: (2025)

CoReEcho: Continuous Representation Learning for 2D+time Echocardiography Analysis
by: Maani, Fadillah Adamsyah, et al.
Published: (2024)

CardioBench: Do Echocardiography Foundation Models Generalize Beyond the Lab?
by: Taratynova, Darya, et al.
Published: (2025)

Noise is an Efficient Learner for Zero-Shot Vision-Language Models
by: Imam, Raza, et al.
Published: (2025)

Efficient Parameter Adaptation for Multi-Modal Medical Image Segmentation and Prognosis
by: Saeed, Numan, et al.
Published: (2025)

SimLVSeg: Simplifying Left Ventricular Segmentation in 2D+Time Echocardiograms with Self- and Weakly-Supervised Learning
by: Maani, Fadillah, et al.
Published: (2023)

Can language-guided unsupervised adaptation improve medical image classification using unpaired images and texts?
by: Rahman, Umaima, et al.
Published: (2024)

EDUE: Expert Disagreement-Guided One-Pass Uncertainty Estimation for Medical Image Segmentation
by: Abutalip, Kudaibergen, et al.
Published: (2024)

TransResNet: Integrating the Strengths of ViTs and CNNs for High Resolution Medical Image Segmentation via Feature Grafting
by: Sharif, Muhammad Hamza, et al.
Published: (2024)

ConDiSR: Contrastive Disentanglement and Style Regularization for Single Domain Generalization
by: Matsun, Aleksandr, et al.
Published: (2024)

HuLP: Human-in-the-Loop for Prognosis
by: Ridzuan, Muhammad, et al.
Published: (2024)

TPA: Temporal Prompt Alignment for Fetal Congenital Heart Defect Classification
by: Taratynova, Darya, et al.
Published: (2025)

On Enhancing Brain Tumor Segmentation Across Diverse Populations with Convolutional Neural Networks
by: Maani, Fadillah, et al.
Published: (2024)

Advanced Tumor Segmentation in Medical Imaging: An Ensemble Approach for BraTS 2023 Adult Glioma and Pediatric Tumor Tasks
by: Maani, Fadillah, et al.
Published: (2024)

On the Robustness of Medical Vision-Language Models: Are they Truly Generalizable?
by: Imam, Raza, et al.
Published: (2025)

Continual Learning in Medical Imaging: A Survey and Practical Analysis
by: Qazi, Mohammad Areeb, et al.
Published: (2024)

SurvCORN: Survival Analysis with Conditional Ordinal Ranking Neural Network
by: Ridzuan, Muhammad, et al.
Published: (2024)

Lost in Space: Probing Fine-grained Spatial Understanding in Vision and Language Resamplers
by: Pantazopoulos, Georgios, et al.
Published: (2024)

Beyond Dominant Patches: Spatial Credit Redistribution For Grounded Vision-Language Models
by: Samin, Niamul Hassan, et al.
Published: (2026)

Benchmarking Multilingual Speech Models on Pashto: Zero-Shot ASR, Script Failure, and Cross-Domain Evaluation
by: Rahman, Hanif
Published: (2026)

HSENet: Hybrid Spatial Encoding Network for 3D Medical Vision-Language Understanding
by: Shi, Yanzhao, et al.
Published: (2025)

SurvRNC: Learning Ordered Representations for Survival Prediction using Rank-N-Contrast
by: Saeed, Numan, et al.
Published: (2024)

PashtoCorp: A 1.25-Billion-Word Corpus, Evaluation Suite, and Reproducible Pipeline for Low-Resource Language Development
by: Rahman, Hanif
Published: (2026)

FIVA: Federated Inverse Variance Averaging for Universal CT Segmentation with Uncertainty Estimation
by: Ukaye, Asim, et al.
Published: (2025)

SURE-VQA: Systematic Understanding of Robustness Evaluation in Medical VQA Tasks
by: Kahl, Kim-Celine, et al.
Published: (2024)

HiSpatial: Taming Hierarchical 3D Spatial Understanding in Vision-Language Models
by: Liang, Huizhi, et al.
Published: (2026)

Envisioning MedCLIP: A Deep Dive into Explainability for Medical Vision-Language Models
by: Hashmi, Anees Ur Rehman, et al.
Published: (2024)

CosmoCLIP: Generalizing Large Vision-Language Models for Astronomical Imaging
by: Imam, Raza, et al.
Published: (2024)

RoboSpatial: Teaching Spatial Understanding to 2D and 3D Vision-Language Models for Robotics
by: Song, Chan Hee, et al.
Published: (2024)

EmbSpatial-Bench: Benchmarking Spatial Understanding for Embodied Tasks with Large Vision-Language Models
by: Du, Mengfei, et al.
Published: (2024)

DeepTumorVQA: A Hierarchical 3D CT Benchmark for Stage-Wise Evaluation of Medical VLMs and Tool-Augmented Agents
by: Chen, Yixiong, et al.
Published: (2026)