Saved in:
| Main Authors: | Taratynova, Darya, Almsouti, Alya, Kalmakhanbet, Beknur, Saeed, Numan, Yaqub, Mohammad |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2508.15298 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
BRIQA: Balanced Reweighting in Image Quality Assessment of Pediatric Brain MRI
by: Almsouti, Alya, et al.
Published: (2025)
by: Almsouti, Alya, et al.
Published: (2025)
CardioBench: Do Echocardiography Foundation Models Generalize Beyond the Lab?
by: Taratynova, Darya, et al.
Published: (2025)
by: Taratynova, Darya, et al.
Published: (2025)
FETAL-GAUGE: A Benchmark for Assessing Vision-Language Models in Fetal Ultrasound
by: Alasmawi, Hussain, et al.
Published: (2025)
by: Alasmawi, Hussain, et al.
Published: (2025)
Forget-MI: Machine Unlearning for Forgetting Multimodal Information in Healthcare Settings
by: Hardan, Shahad, et al.
Published: (2025)
by: Hardan, Shahad, et al.
Published: (2025)
In-Model Merging for Enhancing the Robustness of Medical Imaging Classification Models
by: Wang, Hu, et al.
Published: (2025)
by: Wang, Hu, et al.
Published: (2025)
ConDiSR: Contrastive Disentanglement and Style Regularization for Single Domain Generalization
by: Matsun, Aleksandr, et al.
Published: (2024)
by: Matsun, Aleksandr, et al.
Published: (2024)
MAFM^3: Modular Adaptation of Foundation Models for Multi-Modal Medical AI
by: Qazi, Mohammad Areeb, et al.
Published: (2025)
by: Qazi, Mohammad Areeb, 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)
by: Maani, Fadillah, et al.
Published: (2023)
Lost in Volume: The CT-SpatialVQA Benchmark for Evaluating Semantic-Spatial Understanding of 3D Medical Vision-Language Models
by: Monon, Mashrafi, et al.
Published: (2026)
by: Monon, Mashrafi, et al.
Published: (2026)
DuPLUS: Dual-Prompt Vision-Language Framework for Universal Medical Image Segmentation and Prognosis
by: Saeed, Numan, et al.
Published: (2025)
by: Saeed, Numan, et al.
Published: (2025)
PEMMA: Parameter-Efficient Multi-Modal Adaptation for Medical Image Segmentation
by: Saadi, Nada, et al.
Published: (2024)
by: Saadi, Nada, et al.
Published: (2024)
CoReEcho: Continuous Representation Learning for 2D+time Echocardiography Analysis
by: Maani, Fadillah Adamsyah, et al.
Published: (2024)
by: Maani, Fadillah Adamsyah, et al.
Published: (2024)
UNICON: UNIfied CONtinual Learning for Medical Foundational Models
by: Qazi, Mohammad Areeb, et al.
Published: (2025)
by: Qazi, Mohammad Areeb, et al.
Published: (2025)
On Enhancing Brain Tumor Segmentation Across Diverse Populations with Convolutional Neural Networks
by: Maani, Fadillah, et al.
Published: (2024)
by: Maani, Fadillah, et al.
Published: (2024)
FetalCLIP: A Visual-Language Foundation Model for Fetal Ultrasound Image Analysis
by: Maani, Fadillah, et al.
Published: (2025)
by: Maani, Fadillah, et al.
Published: (2025)
HuLP: Human-in-the-Loop for Prognosis
by: Ridzuan, Muhammad, et al.
Published: (2024)
by: Ridzuan, Muhammad, et al.
Published: (2024)
Efficient Parameter Adaptation for Multi-Modal Medical Image Segmentation and Prognosis
by: Saeed, Numan, et al.
Published: (2025)
by: Saeed, Numan, et al.
Published: (2025)
DARK: Diagonal-Anchored Repulsive Knowledge Distillation for Vision-Language Models under Extreme Compression
by: Saeed, Numan, et al.
Published: (2026)
by: Saeed, Numan, et al.
Published: (2026)
DiMPLe -- Disentangled Multi-Modal Prompt Learning: Enhancing Out-Of-Distribution Alignment with Invariant and Spurious Feature Separation
by: Rahman, Umaima, et al.
Published: (2025)
by: Rahman, Umaima, et al.
Published: (2025)
Continual Learning in Medical Imaging: A Survey and Practical Analysis
by: Qazi, Mohammad Areeb, et al.
Published: (2024)
by: Qazi, Mohammad Areeb, et al.
Published: (2024)
FUSC: Fetal Ultrasound Semantic Clustering of Second Trimester Scans Using Deep Self-supervised Learning
by: Alasmawi, Hussain, et al.
Published: (2023)
by: Alasmawi, Hussain, et al.
Published: (2023)
EDUE: Expert Disagreement-Guided One-Pass Uncertainty Estimation for Medical Image Segmentation
by: Abutalip, Kudaibergen, et al.
Published: (2024)
by: Abutalip, Kudaibergen, et al.
Published: (2024)
Advancing Fetal Ultrasound Image Quality Assessment in Low-Resource Settings
by: He, Dongli, et al.
Published: (2025)
by: He, Dongli, et al.
Published: (2025)
SurvRNC: Learning Ordered Representations for Survival Prediction using Rank-N-Contrast
by: Saeed, Numan, et al.
Published: (2024)
by: Saeed, Numan, 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)
by: Maani, Fadillah, et al.
Published: (2024)
On Evaluating Adversarial Robustness of Volumetric Medical Segmentation Models
by: Malik, Hashmat Shadab, et al.
Published: (2024)
by: Malik, Hashmat Shadab, et al.
Published: (2024)
MedPromptX: Grounded Multimodal Prompting for Chest X-ray Diagnosis
by: Shaaban, Mai A., et al.
Published: (2024)
by: Shaaban, Mai A., et al.
Published: (2024)
A Benchmark and Agentic Framework for Omni-Modal Reasoning and Tool Use in Long Videos
by: Kurpath, Mohammed Irfan, et al.
Published: (2025)
by: Kurpath, Mohammed Irfan, et al.
Published: (2025)
MMRINet: Efficient Mamba-Based Segmentation with Dual-Path Refinement for Low-Resource MRI Analysis
by: Elsayed, Abdelrahman, et al.
Published: (2025)
by: Elsayed, Abdelrahman, et al.
Published: (2025)
On the Robustness of Medical Vision-Language Models: Are they Truly Generalizable?
by: Imam, Raza, et al.
Published: (2025)
by: Imam, Raza, et al.
Published: (2025)
Leveraging Self-Supervised Learning for Fetal Cardiac Planes Classification using Ultrasound Scan Videos
by: Benjamin, Joseph Geo, et al.
Published: (2024)
by: Benjamin, Joseph Geo, et al.
Published: (2024)
Congenital Heart Disease recognition using Deep Learning/Transformer models
by: Amangeldi, Aidar, et al.
Published: (2025)
by: Amangeldi, Aidar, et al.
Published: (2025)
Decoupling Clinical and Class-Agnostic Features for Reliable Few-Shot Adaptation under Shift
by: Rahman, Umaima, et al.
Published: (2025)
by: Rahman, Umaima, et al.
Published: (2025)
Envisioning MedCLIP: A Deep Dive into Explainability for Medical Vision-Language Models
by: Hashmi, Anees Ur Rehman, et al.
Published: (2024)
by: Hashmi, Anees Ur Rehman, et al.
Published: (2024)
TiBiX: Leveraging Temporal Information for Bidirectional X-ray and Report Generation
by: Sanjeev, Santosh, et al.
Published: (2024)
by: Sanjeev, Santosh, et al.
Published: (2024)
TPA3D: Triplane Attention for Fast Text-to-3D Generation
by: Wu, Bin-Shih, et al.
Published: (2023)
by: Wu, Bin-Shih, et al.
Published: (2023)
PointTPA: Dynamic Network Parameter Adaptation for 3D Scene Understanding
by: Liu, Siyuan, et al.
Published: (2026)
by: Liu, Siyuan, et al.
Published: (2026)
FIVA: Federated Inverse Variance Averaging for Universal CT Segmentation with Uncertainty Estimation
by: Ukaye, Asim, et al.
Published: (2025)
by: Ukaye, Asim, et al.
Published: (2025)
MINDSETS: Multi-omics Integration with Neuroimaging for Dementia Subtyping and Effective Temporal Study
by: Hassan, Salma, et al.
Published: (2024)
by: Hassan, Salma, et al.
Published: (2024)
Deep Learning-Based Automated Segmentation of Uterine Myomas
by: Saleem, Tausifa Jan, et al.
Published: (2025)
by: Saleem, Tausifa Jan, et al.
Published: (2025)
Similar Items
-
BRIQA: Balanced Reweighting in Image Quality Assessment of Pediatric Brain MRI
by: Almsouti, Alya, et al.
Published: (2025) -
CardioBench: Do Echocardiography Foundation Models Generalize Beyond the Lab?
by: Taratynova, Darya, et al.
Published: (2025) -
FETAL-GAUGE: A Benchmark for Assessing Vision-Language Models in Fetal Ultrasound
by: Alasmawi, Hussain, et al.
Published: (2025) -
Forget-MI: Machine Unlearning for Forgetting Multimodal Information in Healthcare Settings
by: Hardan, Shahad, et al.
Published: (2025) -
In-Model Merging for Enhancing the Robustness of Medical Imaging Classification Models
by: Wang, Hu, et al.
Published: (2025)