{"total":23,"rows":[{"id":"2101.08387","title":"A Survey on Ensemble Learning under the Era of Deep Learning","created":"2021-01-21","cited_by_count":47,"area":null},{"id":"2206.00356","title":"A Survey on Deep Learning for Skin Lesion Segmentation","created":"2022-06-01","cited_by_count":22,"area":null},{"id":"2208.12232","title":"A survey, review, and future trends of skin lesion segmentation and classification","created":"2022-08-25","cited_by_count":21,"area":null},{"id":"2204.11433","title":"Surpassing the Human Accuracy: Detecting Gallbladder Cancer from USG Images with Curriculum Learning","created":"2022-04-25","cited_by_count":16,"area":null},{"id":"2211.04793","title":"RadFormer: Transformers with Global-Local Attention for Interpretable and Accurate Gallbladder Cancer Detection","created":"2022-11-09","cited_by_count":12,"area":null},{"id":"2104.14353","title":"A Smartphone based Application for Skin Cancer Classification Using Deep Learning with Clinical Images and Lesion Information","created":"2021-04-28","cited_by_count":5,"area":null},{"id":"2306.12898","title":"Machine-Learning-Assisted and Real-Time-Feedback-Controlled Growth of InAs/GaAs Quantum Dots","created":"2023-06-22","cited_by_count":5,"area":null},{"id":"2102.06169","title":"COVID-19 identification from volumetric chest CT scans using a progressively resized 3D-CNN incorporating segmentation, augmentation, and class-rebalancing","created":"2021-02-11","cited_by_count":2,"area":null},{"id":"2104.09878","title":"An Attention-based Weakly Supervised framework for Spitzoid Melanocytic Lesion Diagnosis in WSI","created":"2021-04-20","cited_by_count":2,"area":null},{"id":"2303.14615","title":"Explainable Artificial Intelligence Architecture for Melanoma Diagnosis Using Indicator Localization and Self-Supervised Learning","created":"2023-03-26","cited_by_count":2,"area":null},{"id":"2110.05976","title":"Early Melanoma Diagnosis with Sequential Dermoscopic Images","created":"2021-10-12","cited_by_count":1,"area":null},{"id":"2310.12527","title":"Testing the Consistency of Performance Scores Reported for Binary Classification Problems","created":"2023-10-19","cited_by_count":1,"area":null},{"id":"2105.07592","title":"Dermoscopic Image Classification with Neural Style Transfer","created":"2021-05-17","cited_by_count":0,"area":null},{"id":"2111.01505","title":"Out of distribution detection for skin and malaria images","created":"2021-11-02","cited_by_count":0,"area":null},{"id":"2211.11872","title":"Classification of Melanocytic Nevus Images using BigTransfer (BiT)","created":"2022-11-21","cited_by_count":0,"area":null},{"id":"2212.12303","title":"Introduction to Machine Learning for Physicians: A Survival Guide for Data Deluge","created":"2022-12-23","cited_by_count":0,"area":null},{"id":"2305.09542","title":"Increasing Melanoma Diagnostic Confidence: Forcing the Convolutional Network to Learn from the Lesion","created":"2023-05-16","cited_by_count":0,"area":null},{"id":"2408.03508","title":"On-Demand Growth of Semiconductor Heterostructures Guided by Physics-Informed Machine Learning","created":"2024-08-07","cited_by_count":0,"area":null},{"id":"2501.01991","title":"A Hybrid Deep Learning and Model-Checking Framework for Accurate Brain Tumor Detection and Validation","created":"2024-12-31","cited_by_count":0,"area":null},{"id":"2501.02024","title":"Model Checking in Medical Imaging for Tumor Detection and Segmentation","created":"2025-01-02","cited_by_count":0,"area":null},{"id":"2501.14460","title":"MLMC: Interactive multi-label multi-classifier evaluation without confusion matrices","created":"2025-01-24","cited_by_count":0,"area":null},{"id":"2510.10174","title":"ViConEx-Med: Visual Concept Explainability via Multi-Concept Token Transformer for Medical Image Analysis","created":"2025-10-11","cited_by_count":0,"area":null},{"id":"2601.03090","title":"LesionTABE: Equitable AI for Skin Lesion Detection","created":"2026-01-06","cited_by_count":0,"area":null}],"next_cursor":null}