{"total":53,"rows":[{"id":"2102.09508","title":"Domain Adaptation for Medical Image Analysis: A Survey","created":"2021-02-18","cited_by_count":352,"area":null},{"id":"2203.01825","title":"What Makes Transfer Learning Work For Medical Images: Feature Reuse & Other Factors","created":"2022-03-02","cited_by_count":61,"area":null},{"id":"2310.04270","title":"A Comprehensive Evaluation of Large Language Models on Benchmark Biomedical Text Processing Tasks","created":"2023-10-06","cited_by_count":36,"area":null},{"id":"2107.13741","title":"Self-Paced Contrastive Learning for Semi-supervised Medical Image Segmentation with Meta-labels","created":"2021-07-29","cited_by_count":32,"area":null},{"id":"2209.00314","title":"Self-Supervised Pretraining for 2D Medical Image Segmentation","created":"2022-09-01","cited_by_count":24,"area":null},{"id":"2107.05630","title":"Challenges for machine learning in clinical translation of big data imaging studies","created":"2021-07-07","cited_by_count":15,"area":null},{"id":"2402.07595","title":"Comparative Analysis of ImageNet Pre-Trained Deep Learning Models and DINOv2 in Medical Imaging Classification","created":"2024-02-12","cited_by_count":14,"area":null},{"id":"2303.07034","title":"Pretrained ViTs Yield Versatile Representations For Medical Images","created":"2023-03-13","cited_by_count":13,"area":null},{"id":"2207.05377","title":"On the Generalization for Transfer Learning: An Information-Theoretic Analysis","created":"2022-07-12","cited_by_count":11,"area":null},{"id":"2210.06980","title":"Probabilistic Integration of Object Level Annotations in Chest X-ray Classification","created":"2022-10-13","cited_by_count":10,"area":null},{"id":"2309.13550","title":"I-AI: A Controllable & Interpretable AI System for Decoding Radiologists' Intense Focus for Accurate CXR Diagnoses","created":"2023-09-24","cited_by_count":10,"area":null},{"id":"2407.17877","title":"Advancing 3D Point Cloud Understanding through Deep Transfer Learning: A Comprehensive Survey","created":"2024-07-25","cited_by_count":9,"area":null},{"id":"2502.14584","title":"Vision Foundation Models in Medical Image Analysis: Advances and Challenges","created":"2025-02-20","cited_by_count":9,"area":null},{"id":"2211.10043","title":"Vision Transformers in Medical Imaging: A Review","created":"2022-11-18","cited_by_count":8,"area":null},{"id":"2503.04106","title":"WeakMedSAM: Weakly-Supervised Medical Image Segmentation via SAM with Sub-Class Exploration and Prompt Affinity Mining","created":"2025-03-06","cited_by_count":8,"area":null},{"id":"2208.11424","title":"Self-Supervised Endoscopic Image Key-Points Matching","created":"2022-08-24","cited_by_count":4,"area":null},{"id":"2311.15966","title":"Towards Transfer Learning for Large-Scale Image Classification Using Annealing-based Quantum Boltzmann Machines","created":"2023-11-27","cited_by_count":3,"area":null},{"id":"2403.13341","title":"FissionFusion: Fast Geometric Generation and Hierarchical Souping for Medical Image Analysis","created":"2024-03-20","cited_by_count":3,"area":null},{"id":"2405.20126","title":"Federated and Transfer Learning for Cancer Detection Based on Image Analysis","created":"2024-05-30","cited_by_count":3,"area":null},{"id":"2411.18513","title":"Enhancing weed detection performance by means of GenAI-based image augmentation","created":"2024-11-27","cited_by_count":3,"area":null},{"id":"2405.03235","title":"Cross-Modal Domain Adaptation in Brain Disease Diagnosis: Maximum Mean Discrepancy-based Convolutional Neural Networks","created":"2024-05-06","cited_by_count":2,"area":null},{"id":"2412.19124","title":"Evaluating Self-Supervised Learning in Medical Imaging: A Benchmark for Robustness, Generalizability, and Multi-Domain Impact","created":"2024-12-26","cited_by_count":2,"area":null},{"id":"2103.02982","title":"Analysing Wideband Absorbance Immittance in Normal and Ears with Otitis Media with Effusion Using Machine Learning","created":"2021-03-04","cited_by_count":1,"area":null},{"id":"2105.15094","title":"Systematic investigation into generalization of COVID-19 CT deep learning models with Gabor ensemble for lung involvement scoring","created":"2021-04-20","cited_by_count":1,"area":null},{"id":"2107.05940","title":"Cats, not CAT scans: a study of dataset similarity in transfer learning for 2D medical image classification","created":"2021-07-13","cited_by_count":1,"area":null},{"id":"2108.04329","title":"Class dependency based learning using Bi-LSTM coupled with the transfer learning of VGG16 for the diagnosis of Tuberculosis from chest x-rays","created":"2021-07-19","cited_by_count":1,"area":null},{"id":"2109.14433","title":"Multi-loss ensemble deep learning for chest X-ray classification","created":"2021-09-29","cited_by_count":1,"area":null},{"id":"2110.10813","title":"CXR-Net: An Encoder-Decoder-Encoder Multitask Deep Neural Network for Explainable and Accurate Diagnosis of COVID-19 pneumonia with Chest X-ray Images","created":"2021-10-20","cited_by_count":1,"area":null},{"id":"2308.02597","title":"Designing a Deep Learning-Driven Resource-Efficient Diagnostic System for Metastatic Breast Cancer: Reducing Long Delays of Clinical Diagnosis and Improving Patient Survival in Developing Countries","created":"2023-08-04","cited_by_count":1,"area":null},{"id":"2404.16397","title":"Deep Learning-based Prediction of Breast Cancer Tumor and Immune Phenotypes from Histopathology","created":"2024-04-25","cited_by_count":1,"area":null},{"id":"2601.01460","title":"Domain Adaptation of Carotid Ultrasound Images using Generative Adversarial Network","created":"2026-01-04","cited_by_count":1,"area":null},{"id":"2108.11954","title":"Cascading Neural Network Methodology for Artificial Intelligence-Assisted Radiographic Detection and Classification of Lead-Less Implanted Electronic Devices within the Chest","created":"2021-08-25","cited_by_count":0,"area":null},{"id":"2206.06663","title":"Quantitative Imaging Principles Improves Medical Image Learning","created":"2022-06-14","cited_by_count":0,"area":null},{"id":"2207.03568","title":"The use of deep learning enables high diagnostic accuracy in detecting syndesmotic instability on weight-bearing CT scanning","created":"2022-07-07","cited_by_count":0,"area":null},{"id":"2211.11557","title":"Decomposing 3D Neuroimaging into 2+1D Processing for Schizophrenia Recognition","created":"2022-11-21","cited_by_count":0,"area":null},{"id":"2301.01705","title":"A Survey on Deep Industrial Transfer Learning in Fault Prognostics","created":"2023-01-04","cited_by_count":0,"area":null},{"id":"2303.00788","title":"Multi-task neural networks by learned contextual inputs","created":"2023-03-01","cited_by_count":0,"area":null},{"id":"2305.05430","title":"Bone Marrow Cytomorphology Cell Detection using InceptionResNetV2","created":"2023-05-09","cited_by_count":0,"area":null},{"id":"2305.09101","title":"One-step learning algorithm selection for classification via convolutional neural networks","created":"2023-05-16","cited_by_count":0,"area":null},{"id":"2305.09660","title":"Osteosarcoma Tumor Detection using Transfer Learning Models","created":"2023-05-16","cited_by_count":0,"area":null},{"id":"2309.12202","title":"Empowering Precision Medicine: AI-Driven Schizophrenia Diagnosis via EEG Signals: A Comprehensive Review from 2002-2023","created":"2023-09-14","cited_by_count":0,"area":null},{"id":"2311.08655","title":"Review of AlexNet for Medical Image Classification","created":"2023-11-15","cited_by_count":0,"area":null},{"id":"2402.06499","title":"BarlowTwins-CXR : Enhancing Chest X-Ray abnormality localization in heterogeneous data with cross-domain self-supervised learning","created":"2024-02-09","cited_by_count":0,"area":null},{"id":"2402.15613","title":"Towards Efficient Active Learning in NLP via Pretrained Representations","created":"2024-02-23","cited_by_count":0,"area":null},{"id":"2402.19001","title":"Analysis of the Two-Step Heterogeneous Transfer Learning for Laryngeal Blood Vessel Classification: Issue and Improvement","created":"2024-02-29","cited_by_count":0,"area":null},{"id":"2407.05592","title":"Transfer or Self-Supervised? Bridging the Performance Gap in Medical Imaging","created":"2024-07-08","cited_by_count":0,"area":null},{"id":"2409.13146","title":"GASA-UNet: Global Axial Self-Attention U-Net for 3D Medical Image Segmentation","created":"2024-09-20","cited_by_count":0,"area":null},{"id":"2412.00702","title":"Enhancing Skin Lesion Classification Generalization with Active Domain Adaptation","created":"2024-12-01","cited_by_count":0,"area":null},{"id":"2506.16631","title":"Overfitting in Histopathology Model Training: The Need for Customized Architectures","created":"2025-06-19","cited_by_count":0,"area":null},{"id":"2507.09996","title":"Leveraging Swin Transformer for enhanced diagnosis of Alzheimer's disease using multi-shell diffusion MRI","created":"2025-07-14","cited_by_count":0,"area":null},{"id":"2508.17216","title":"Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology","created":"2025-08-24","cited_by_count":0,"area":null},{"id":"2510.15439","title":"Rethinking Convergence in Deep Learning: The Predictive-Corrective Paradigm for Anatomy-Informed Brain MRI Segmentation","created":"2025-10-17","cited_by_count":0,"area":null},{"id":"2512.06161","title":"Deep learning for autism detection using clinical notes: A comparison of transfer learning for a transparent and black-box approach","created":"2025-12-05","cited_by_count":0,"area":null}],"next_cursor":null}