Cover Image

DynaMMo: Dynamic Model Merging for Efficient Class Incremental Learning for Medical Images

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Qazi, Mohammad Areeb, Almakky, Ibrahim, Hashmi, Anees Ur Rehman, Sanjeev, Santosh, Yaqub, Mohammad
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

MedMerge: Merging Models for Effective Transfer Learning to Medical Imaging Tasks
by: Almakky, Ibrahim, et al.
Published: (2024)

FissionFusion: Fast Geometric Generation and Hierarchical Souping for Medical Image Analysis
by: Sanjeev, Santosh, et al.
Published: (2024)

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

XReal: Realistic Anatomy and Pathology-Aware X-ray Generation via Controllable Diffusion Model
by: Hashmi, Anees Ur Rehman, et al.
Published: (2024)

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

MAFM^3: Modular Adaptation of Foundation Models for Multi-Modal Medical AI
by: Qazi, Mohammad Areeb, 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)

In-Model Merging for Enhancing the Robustness of Medical Imaging Classification Models
by: Wang, Hu, 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)

SALT: Parameter-Efficient Fine-Tuning via Singular Value Adaptation with Low-Rank Transformation
by: Elsayed, Abdelrahman, et al.
Published: (2025)

MedNNS: Supernet-based Medical Task-Adaptive Neural Network Search
by: Mecharbat, Lotfi Abdelkrim, et al.
Published: (2025)

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

T3: Test-Time Model Merging in VLMs for Zero-Shot Medical Imaging Analysis
by: Imam, Raza, et al.
Published: (2025)

Introducing SDICE: An Index for Assessing Diversity of Synthetic Medical Datasets
by: Alam, Mohammed Talha, et al.
Published: (2024)

Rethinking Weight-Averaged Model-merging
by: Wang, Hu, et al.
Published: (2024)

Quran-MD: A Fine-Grained Multilingual Multimodal Dataset of the Quran
by: Salman, Muhammad Umar, et al.
Published: (2026)

Beyond Generative AI: World Models for Clinical Prediction, Counterfactuals, and Planning
by: Qazi, Mohammad Areeb, et al.
Published: (2025)

A Context-aware Attention and Graph Neural Network-based Multimodal Framework for Misogyny Detection
by: Rehman, Mohammad Zia Ur, et al.
Published: (2025)

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

On the Robustness of Medical Vision-Language Models: Are they Truly Generalizable?
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)

Adapter Merging with Centroid Prototype Mapping for Scalable Class-Incremental Learning
by: Fukuda, Takuma, et al.
Published: (2024)

Decoupling Clinical and Class-Agnostic Features for Reliable Few-Shot Adaptation under Shift
by: Rahman, Umaima, 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)

Addressing Imbalance for Class Incremental Learning in Medical Image Classification
by: Hao, Xuze, et al.
Published: (2024)

Y-CA-Net: A Convolutional Attention Based Network for Volumetric Medical Image Segmentation
by: Sharif, Muhammad Hamza, et al.
Published: (2024)

Class-Independent Increment: An Efficient Approach for Multi-label Class-Incremental Learning
by: Ding, Chenhao, et al.
Published: (2025)

FUSC: Fetal Ultrasound Semantic Clustering of Second Trimester Scans Using Deep Self-supervised Learning
by: Alasmawi, Hussain, et al.
Published: (2023)

X-Dyna: Expressive Dynamic Human Image Animation
by: Chang, Di, et al.
Published: (2025)

Advancing Fetal Ultrasound Image Quality Assessment in Low-Resource Settings
by: He, Dongli, et al.
Published: (2025)

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

Merge and Bound: Direct Manipulations on Weights for Class Incremental Learning
by: Kim, Taehoon, et al.
Published: (2025)

Probing Image Compression For Class-Incremental Learning
by: Yang, Justin, et al.
Published: (2024)

Deep Learning-Based Automated Segmentation of Uterine Myomas
by: Saleem, Tausifa Jan, et al.
Published: (2025)

Dynamic Feature Learning and Matching for Class-Incremental Learning
by: Qiang, Sunyuan, et al.
Published: (2024)

Automatic Quality Assessment of First Trimester Crown-Rump-Length Ultrasound Images
by: Cengiz, Sevim, et al.
Published: (2025)

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

WiNet: Wavelet-based Incremental Learning for Efficient Medical Image Registration
by: Cheng, Xinxing, et al.
Published: (2024)

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)