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Awesome-CL-in-Medical

Continual Learning in Medical - A Survey

This is the repository of Continual Learning in Medical - A Survey, a systematic survey of Continual Learning studies in Medical Setting. For details, please refer to:

paper

Mohammad Areeb Qazi, Anees Ur Rehman Hashmi, Santosh Sanjeev, Ibrahim Almakky, Numan Saeed, Mohammad Yaqub

2023

  • Title: Continual-GEN: Continual Group Ensembling for Domain-agnostic Skin Lesion Classification [paper] [code]
    • Approach: Approach
    • Modality: Modality
    • Settings: Settings
    • Task: Task

  • Title: What is Wrong with Continual Learning in Medical Image Segmentation? [paper]
    • Approach: Approach
    • Modality: Modality Modality
    • Settings: Settings
    • Task: Task

  • Title: Continual Learning for Abdominal Mutli-Organ and Tumor Segmentation [paper] [code]
    • Approach: Approach
    • Modality: Modality
    • Settings: Settings
    • Task: Task

  • Title: Continual Segment: Towards a Single, Unified and Non-forgetting Continual Segmentation Model of 143 Whole-body Organs in CT Scans [paper]
    • Approach: Approach
    • Modality: Modality
    • Settings: Settings
    • Task: Task

  • Title: Leveraging Old Knowledge to Continually Learn New Classes in Medical Images [paper]
    • Approach: Approach
    • Modality: Modality
    • Settings: Settings
    • Task: Task

  • Title: Incremental Learning for Heterogeneous Structure Segmentation in Brain Tumor MRI [paper]
    • Approach: Approach
    • Modality: Modality
    • Settings: Settings
    • Task: Task

  • Title: Fourier Test-time Adaptation with Multi-level Consistency for Robust Classification [paper]
    • Approach: Approach
    • Modality: Modality
    • Settings: Settings
    • Task: Task

  • Title: Modal adaptive super-resolution for medical images via continual learning [paper] [code]
    • Approach: Approach
    • Modality: Modality Modality
    • Settings: Settings
    • Task: Task

  • Title: S3R: Shape and Semantics-Based Selective Regularization for Explainable Continual Segmentation Across Multiple Sites [paper]
    • Approach: Approach
    • Modality: Modality
    • Settings: Settings
    • Task: Task

  • Title: Memory Replay for Continual Medical Image Segmentation through Atypical Sample Selection [paper]
    • Approach: Approach
    • Modality: Modality Modality
    • Settings: Settings Settings
    • Task: Task

  • Title: Few-Shot Class-Incremental Learning for Medical Time Series Classification [paper]
    • Approach: Approach
    • Modality: Modality
    • Settings: Settings
    • Task: Task

  • Title: generative appearance replay for continual unsupervised domain adaptation [paper] [code]
    • Approach: Approach
    • Modality: Modality
    • Settings: Settings
    • Task: Task

  • Title: Adapter Learning in Pretrained Feature Extractor for Continual Learning of Diseases [paper] [code]
    • Approach: Approach Approach
    • Modality: Modality Modality Modality Modality Modality
    • Settings: Settings
    • Task: Task

  • Title: Incremental learning for an evolving stream of medical ultrasound images via counterfactual thinking [paper]
    • Approach: Approach Approach
    • Modality: Modality
    • Settings: Settings
    • Task: Task

  • Title: L3DMC: Lifelong Learning using Distillation via Mixed-Curvature Space [paper] [code]
    • Approach: Approach Approach
    • Modality: Modality Modality Modality Modality
    • Settings: Settings Settings
    • Task: Task

  • Title: Domain-Incremental Cardiac Image Segmentation with Style-Oriented Replay and Domain-Sensitive Feature Whitening [paper]
    • Approach: Approach Approach
    • Modality: Modality
    • Settings: Settings
    • Task: Task

  • Title: Multi-scale Multi-task Distillation for Incremental 3D Medical Image Segmentation [paper]
    • Approach: Approach Approach
    • Modality: Modality
    • Settings: Settings
    • Task: Task

2022

  • Title: LifeLonger: A Benchmark for Continual Disease Classification [paper]
    • Approach: Approach Approach Approach
    • Modality: Modality Modality Modality Modality
    • Settings: Settings Settings Settings
    • Task: Task

  • Title: Characterizing Continual Learning Scenarios for Tumor Classification in Histopathology Images [paper]
    • Approach: Approach Approach Approach
    • Modality: Modality
    • Settings: Settings Settings Settings
    • Task: Task

  • Title: Incremental Learning Meets Transfer Learning: Application to Multi-site Prostate MRI Segmentation [paper]
    • Approach: Approach
    • Modality: Modality
    • Settings: Settings
    • Task: Task

  • Title: IDT: An incremental deep tree framework for biological image classification [paper]
    • Approach: Approach
    • Modality: Modality Modality Modality Modality
    • Settings: Settings
    • Task: Task

  • Title: task-agnostic continual hippocampus segmentation for smooth population shifts [paper] [code]
    • Approach: Approach
    • Modality: Modality
    • Settings: Settings
    • Task: Task

  • Title: jcbie: a joint continual learning neural network for biomedical information extraction [paper]
    • Approach: Approach
    • Modality: Modality
    • Settings: Settings
    • Task: Task

  • Title: MUSCLE: Multi-task Self-supervised Continual Learning to Pre-train Deep Models for X-ray Images of Multiple Body Parts [paper]
    • Approach: Approach
    • Modality: Modality
    • Settings: Settings
    • Task: TaskTaskTask

  • Title: Breast Cancer Detection Model Training Strategy Based on Continual Learning [paper]
    • Approach: Approach
    • Modality: Modality
    • Settings: Settings Settings
    • Task: Task

  • Title: Incremental Learning Method for Lung Nodule Detection Based on EWC and Feature Distillation [paper]
    • Approach: Approach
    • Modality: Modality
    • Settings: Settings
    • Task: Task

  • Title: Comprehensive Importance-Based Selective Regularization for Continual Segmentation Across Multiple Sites [paper] [code]
    • Approach: Approach
    • Modality: Modality
    • Settings: Settings
    • Task: Task

  • Title: Continual Learning of Medical Image Classification Based on Feature Replay [paper]
    • Approach: Approach
    • Modality: Modality Modality Modality Modality Modality
    • Settings: Settings Settings
    • Task: Task

  • Title: Class Impression for Data-free Incremental Learning [paper] [code]
    • Approach: Approach
    • Modality: Modality
    • Settings: Settings
    • Task: Task

  • Title: Learning towards Synchronous Network Memorizability and Generalizability for Continual Segmentation across Multiple Sites [paper] [code]
    • Approach: Approach
    • Modality: Modality
    • Settings: Settings
    • Task: Task

  • Title: A New Generative Replay Approach for Incremental Class Learning of Medical Image for Semantic Segmentation [paper]
    • Approach: Approach
    • Modality: Modality
    • Settings: Settings
    • Task: Task

  • Title: Privacy preserving synthetic respiratory sounds for class incremental learning [paper]
    • Approach: Approach
    • Modality: Modality
    • Settings: Settings
    • Task: Task

  • Title: Class-Incremental Gesture Recognition Learning with Out-of-Distribution Detection [paper]
    • Approach: Approach
    • Modality: Modality
    • Settings: Settings
    • Task: Task

  • Title: Continual Learning for medical image classification [paper]
    • Approach: Approach Approach
    • Modality: Modality Modality Modality Modality Modality
    • Settings: Settings Settings Settings
    • Task: Task

  • Title: Learning Incrementally to Segment Multiple Organs in a CT Image [paper] [code]
    • Approach: Approach Approach
    • Modality: Modality
    • Settings: Settings
    • Task: Task

  • Title: Continual Hippocampus Segmentation with Transformers [paper]
    • Approach: Approach Approach
    • Modality: Modality
    • Settings: Settings
    • Task: Task

  • Title: replay-oriented gradient projection memory for continual learning in medical scenarios [paper]
    • Approach: Approach Approach
    • Modality: Modality
    • Settings: Settings
    • Task: Task

2021

  • Title: Targeted Gradient Descent: A Novel Method for Convolutional Neural Networks Fine-Tuning and Online-Learning [paper]
    • Approach: Approach
    • Modality: Modality
    • Settings: Settings
    • Task: Task

  • Title: Culprit-Prune-Net: Efficient Continual Sequential Multi-domain Learning with Application to Skin Lesion Classification [paper]
    • Approach: Approach
    • Modality: Modality
    • Settings: Settings
    • Task: Task

  • Title: Adversarial Continual Learning for Multi-domain Hippocampal Segmentation [paper]
    • Approach: Approach
    • Modality: Modality
    • Settings: Settings
    • Task: Task

  • Title: Incremental learning for exudate and hemorrhage segmentation on fundus images [paper]
    • Approach: Approach
    • Modality: Modality
    • Settings: Settings
    • Task: Task

  • Title: Manifold learning to address catastrophic forgetting [paper]
    • Approach: Approach
    • Modality: Modality
    • Settings: Settings
    • Task: TaskTask

  • Title: Multimodal Continual Learning with Sonographer Eye-Tracking in Fetal Ultrasound [paper]
    • Approach: Approach
    • Modality: Modality
    • Settings: Settings
    • Task: Task

  • Title: contrastive representations for continual learning of fine-grained histology images [paper]
    • Approach: Approach
    • Modality: Modality
    • Settings: Settings
    • Task: Task

  • Title: Dynamic memory to alleviate catastrophic forgetting in continual learning with medical imaging [paper] [code]
    • Approach: Approach
    • Modality: Modality Modality
    • Settings: Settings
    • Task: Task

  • Title: Continual Domain Incremental Learning for Chest X-Ray Classification in Low-Resource Clinical Settings [paper]
    • Approach: Approach
    • Modality: Modality
    • Settings: Settings
    • Task: Task

  • Title: Lifelong Learning Based Disease Diagnosis on Clinical Notes [paper] [code]
    • Approach: Approach
    • Modality: Modality Modality
    • Settings: Settings
    • Task: Task

  • Title: Incremental learning for dermatological imaging modality classification [paper]
    • Approach: Approach
    • Modality: Modality
    • Settings: Settings
    • Task: Task

  • Title: continual active learning for efficient adaptation of machine learning models to changing image acquisition [paper]
    • Approach: Approach
    • Modality: Modality
    • Settings: Settings
    • Task: Task

2020

  • Title: Continual Learning for Domain Adaptation in Chest X-ray Classification [paper]
    • Approach: Approach
    • Modality: Modality
    • Settings: Settings
    • Task: Task

  • Title: Importance driven continual learning for segmentation across domains. [paper]
    • Approach: Approach
    • Modality: Modality
    • Settings: Settings
    • Task: Task

  • Title: Continual learning of new diseases with dual distillation and ensemble strategy [paper]
    • Approach: Approach
    • Modality: Modality
    • Settings: Settings
    • Task: Task

  • Title: Dynamic memory to alleviate catastrophic forgetting in continuous learning settings [paper]
    • Approach: Approach
    • Modality: Modality
    • Settings: Settings
    • Task: Task

  • Title: Incremental Learning of Fetal Heart Anatomies Using Interpretable Saliency Maps [paper]
    • Approach: Approach Approach
    • Modality: Modality
    • Settings: Settings
    • Task: Task

  • Title: Continual Class Incremental Learning for CT Thoracic Segmentation [paper]
    • Approach: Approach Approach
    • Modality: Modality
    • Settings: Settings
    • Task: Task

2019

  • Title: Towards continuous learning for glioma segmentation with elastic weight consolidation. [paper]
    • Approach: Approach
    • Modality: Modality
    • Settings: Settings
    • Task: Task

  • Title: Feature transformers: privacy preserving lifelong learners for medical imaging [paper]
    • Approach: Approach
    • Modality: Modality Modality
    • Settings: Settings
    • Task: Task

  • Title: Towards continuous domain adaptation for medical imaging [paper]
    • Approach: Approach
    • Modality: Modality
    • Settings: Settings Settings Settings
    • Task: Task

2018

  • Title: A Lifelong Learning Approach to Brain MR Segmentation Across Scanners and Protocols [paper]
    • Approach: Approach
    • Modality: Modality
    • Settings: Settings
    • Task: Task

  • Title: Towards continual learning in medical imaging [paper]
    • Approach: Approach
    • Modality: Modality
    • Settings: Settings
    • Task: Task

  • Title: Keep and learn: Continual learning by constraining the latent space for knowledge preservation in neural networks [paper]
    • Approach: Approach
    • Modality: Modality
    • Settings: Settings
    • Task: Task

  • Title: Learn the new, keep the old: Extending pretrained models with new anatomy and images. [paper]
    • Approach: Approach
    • Modality: Modality
    • Settings: Settings
    • Task: Task

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