{"total":116,"rows":[{"id":"2302.14260","title":"A Closer Look at the Intervention Procedure of Concept Bottleneck Models","created":"2023-02-28","cited_by_count":64,"area":null},{"id":"2302.00785","title":"SkinCon: A skin disease dataset densely annotated by domain experts for fine-grained model debugging and analysis","created":"2023-02-01","cited_by_count":44,"area":null},{"id":"2402.12715","title":"The Clever Hans Mirage: A Comprehensive Survey on Spurious Correlations in Machine Learning","created":"2024-02-20","cited_by_count":41,"area":null},{"id":"2207.02942","title":"Towards Transparency in Dermatology Image Datasets with Skin Tone Annotations by Experts, Crowds, and an Algorithm","created":"2022-07-06","cited_by_count":35,"area":null},{"id":"2303.00885","title":"Towards Trustable Skin Cancer Diagnosis via Rewriting Model's Decision","created":"2023-03-02","cited_by_count":27,"area":null},{"id":"2305.18262","title":"Beyond Confidence: Reliable Models Should Also Consider Atypicality","created":"2023-05-29","cited_by_count":25,"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":"2306.13531","title":"WBCAtt: A White Blood Cell Dataset Annotated with Detailed Morphological Attributes","created":"2023-06-23","cited_by_count":22,"area":null},{"id":"2410.02331","title":"Self-eXplainable AI for Medical Image Analysis: A Survey and New Outlooks","created":"2024-10-03","cited_by_count":18,"area":null},{"id":"2208.13528","title":"CIRCLe: Color Invariant Representation Learning for Unbiased Classification of Skin Lesions","created":"2022-08-29","cited_by_count":17,"area":null},{"id":"2309.05148","title":"Beyond Skin Tone: A Multidimensional Measure of Apparent Skin Color","created":"2023-09-10","cited_by_count":17,"area":null},{"id":"2407.06600","title":"Integrating Clinical Knowledge into Concept Bottleneck Models","created":"2024-07-09","cited_by_count":17,"area":null},{"id":"2408.04154","title":"The Data Addition Dilemma","created":"2024-08-08","cited_by_count":15,"area":null},{"id":"2406.12142","title":"Slicing Through Bias: Explaining Performance Gaps in Medical Image Analysis using Slice Discovery Methods","created":"2024-06-17","cited_by_count":14,"area":null},{"id":"2308.05129","title":"Are Sex-based Physiological Differences the Cause of Gender Bias for Chest X-ray Diagnosis?","created":"2023-08-09","cited_by_count":13,"area":null},{"id":"2305.09072","title":"Skin Deep: Investigating Subjectivity in Skin Tone Annotations for Computer Vision Benchmark Datasets","created":"2023-05-15","cited_by_count":11,"area":null},{"id":"2402.05160","title":"What's documented in AI? Systematic Analysis of 32K AI Model Cards","created":"2024-02-07","cited_by_count":11,"area":null},{"id":"2307.05350","title":"Dividing and Conquering a BlackBox to a Mixture of Interpretable Models: Route, Interpret, Repeat","created":"2023-07-07","cited_by_count":10,"area":null},{"id":"2307.05862","title":"Ecosystem-level Analysis of Deployed Machine Learning Reveals Homogeneous Outcomes","created":"2023-07-12","cited_by_count":10,"area":null},{"id":"2406.07426","title":"DERM12345: A Large, Multisource Dermatoscopic Skin Lesion Dataset with 38 Subclasses","created":"2024-06-11","cited_by_count":10,"area":null},{"id":"2410.24100","title":"Benchmark Data Repositories for Better Benchmarking","created":"2024-10-31","cited_by_count":10,"area":null},{"id":"2307.03157","title":"Achieving Reliable and Fair Skin Lesion Diagnosis via Unsupervised Domain Adaptation","created":"2023-07-06","cited_by_count":9,"area":null},{"id":"2406.18375","title":"From Majority to Minority: A Diffusion-based Augmentation for Underrepresented Groups in Skin Lesion Analysis","created":"2024-06-26","cited_by_count":9,"area":null},{"id":"2305.17048","title":"Intrinsic Self-Supervision for Data Quality Audits","created":"2023-05-26","cited_by_count":8,"area":null},{"id":"2501.11752","title":"Are generative models fair? A study of racial bias in dermatological image generation","created":"2025-01-20","cited_by_count":7,"area":null},{"id":"2304.11123","title":"China and the U.S. produce more impactful AI research when collaborating together","created":"2023-04-21","cited_by_count":6,"area":null},{"id":"2309.06961","title":"Towards Reliable Dermatology Evaluation Benchmarks","created":"2023-09-13","cited_by_count":6,"area":null},{"id":"2405.09806","title":"A Generalist Model for Diverse Text-Guided Medical Image Synthesis","created":"2024-05-16","cited_by_count":6,"area":null},{"id":"2405.18004","title":"SkinCaRe: A Multimodal Dermatology Dataset Annotated with Medical Caption and Chain-of-Thought Reasoning","created":"2024-05-28","cited_by_count":6,"area":null},{"id":"2408.06890","title":"BMFT: Achieving Fairness via Bias-based Weight Masking Fine-tuning","created":"2024-08-13","cited_by_count":6,"area":null},{"id":"2410.21494","title":"Towards Multi-dimensional Explanation Alignment for Medical Classification","created":"2024-10-28","cited_by_count":6,"area":null},{"id":"2207.01059","title":"Identifying the Context Shift between Test Benchmarks and Production Data","created":"2022-07-03","cited_by_count":5,"area":null},{"id":"2403.03357","title":"The Case for Globalizing Fairness: A Mixed Methods Study on Colonialism, AI, and Health in Africa","created":"2024-03-05","cited_by_count":5,"area":null},{"id":"2405.20790","title":"Intersectional Unfairness Discovery","created":"2024-05-31","cited_by_count":5,"area":null},{"id":"2406.09307","title":"What is Fair? Defining Fairness in Machine Learning for Health","created":"2024-06-13","cited_by_count":5,"area":null},{"id":"2411.04584","title":"PASSION for Dermatology: Bridging the Diversity Gap with Pigmented Skin Images from Sub-Saharan Africa","created":"2024-11-07","cited_by_count":5,"area":null},{"id":"2206.14853","title":"Fairness via In-Processing in the Over-parameterized Regime: A Cautionary Tale","created":"2022-06-29","cited_by_count":4,"area":null},{"id":"2307.11654","title":"FEDD -- Fair, Efficient, and Diverse Diffusion-based Lesion Segmentation and Malignancy Classification","created":"2023-07-21","cited_by_count":4,"area":null},{"id":"2309.14198","title":"(Predictable) Performance Bias in Unsupervised Anomaly Detection","created":"2023-09-25","cited_by_count":4,"area":null},{"id":"2311.02115","title":"Towards objective and systematic evaluation of bias in artificial intelligence for medical imaging","created":"2023-11-03","cited_by_count":4,"area":null},{"id":"2403.17011","title":"SUDO: a framework for evaluating clinical artificial intelligence systems without ground-truth annotations","created":"2024-01-02","cited_by_count":4,"area":null},{"id":"2409.09520","title":"Enhancing Skin Disease Diagnosis: Interpretable Visual Concept Discovery with SAM","created":"2024-09-14","cited_by_count":4,"area":null},{"id":"2505.05195","title":"Concept-Based Unsupervised Domain Adaptation","created":"2025-05-08","cited_by_count":4,"area":null},{"id":"2505.14049","title":"Learning Concept-Driven Logical Rules for Interpretable and Generalizable Medical Image Classification","created":"2025-05-20","cited_by_count":4,"area":null},{"id":"2602.23752","title":"Unsupervised Causal Prototypical Networks for De-biased Interpretable Dermoscopy Diagnosis","created":"2026-02-27","cited_by_count":4,"area":null},{"id":"2210.03103","title":"Env-Aware Anomaly Detection: Ignore Style Changes, Stay True to Content!","created":"2022-10-06","cited_by_count":3,"area":null},{"id":"2305.18164","title":"Generative Adversarial Networks based Skin Lesion Segmentation","created":"2023-05-29","cited_by_count":3,"area":null},{"id":"2310.00517","title":"Assessing the Generalizability of Deep Neural Networks-Based Models for Black Skin Lesions","created":"2023-09-30","cited_by_count":3,"area":null},{"id":"2508.18608","title":"eSkinHealth: A Multimodal Dataset for Neglected Tropical Skin Diseases","created":"2025-08-26","cited_by_count":3,"area":null},{"id":"2308.03175","title":"Adapting Machine Learning Diagnostic Models to New Populations Using a Small Amount of Data: Results from Clinical Neuroscience","created":"2023-08-06","cited_by_count":2,"area":null},{"id":"2406.00219","title":"Fairness in Autonomous Driving: Towards Understanding Confounding Factors in Object Detection under Challenging Weather","created":"2024-05-31","cited_by_count":2,"area":null},{"id":"2406.11310","title":"Federated Active Learning Framework for Efficient Annotation Strategy in Skin-lesion Classification","created":"2024-06-17","cited_by_count":2,"area":null},{"id":"2408.00639","title":"Privacy-preserving datasets by capturing feature distributions with Conditional VAEs","created":"2024-08-01","cited_by_count":2,"area":null},{"id":"2412.09765","title":"L-WISE: Boosting Human Visual Category Learning Through Model-Based Image Selection and Enhancement","created":"2024-12-12","cited_by_count":2,"area":null},{"id":"2501.04184","title":"MedicalNarratives: Connecting Medical Vision and Language with Localized Narratives","created":"2025-01-07","cited_by_count":2,"area":null},{"id":"2506.06099","title":"DermaCon-IN: A Multi-concept Annotated Dermatological Image Dataset of Indian Skin Disorders for Clinical AI Research","created":"2025-06-06","cited_by_count":2,"area":null},{"id":"2508.12190","title":"DermINO: Hybrid Pretraining for a Versatile Dermatology Foundation Model","created":"2025-08-17","cited_by_count":2,"area":null},{"id":"2509.10980","title":"TrueSkin: Towards Fair and Accurate Skin Tone Recognition and Generation","created":"2025-09-13","cited_by_count":2,"area":null},{"id":"2605.20612","title":"Matryoshka Concept Bottleneck Models","created":"2026-05-20","cited_by_count":2,"area":null},{"id":"2311.01744","title":"Data-Centric Long-Tailed Image Recognition","created":"2023-11-03","cited_by_count":1,"area":null},{"id":"2402.15566","title":"Closing the AI generalization gap by adjusting for dermatology condition distribution differences across clinical settings","created":"2024-02-23","cited_by_count":1,"area":null},{"id":"2409.00873","title":"Equitable Skin Disease Prediction Using Transfer Learning and Domain Adaptation","created":"2024-09-01","cited_by_count":1,"area":null},{"id":"2410.05114","title":"Synthetic Generation of Dermatoscopic Images with GAN and Closed-Form Factorization","created":"2024-10-07","cited_by_count":1,"area":null},{"id":"2412.10337","title":"Generative AI in Medicine","created":"2024-12-13","cited_by_count":1,"area":null},{"id":"2501.08962","title":"An analysis of data variation and bias in image-based dermatological datasets for machine learning classification","created":"2025-01-15","cited_by_count":1,"area":null},{"id":"2503.17089","title":"Understanding-informed Bias Mitigation for Fair CMR Segmentation","created":"2025-03-21","cited_by_count":1,"area":null},{"id":"2504.04494","title":"Skin Color Measurement from Dermatoscopic Images: An Evaluation on a Synthetic Dataset","created":"2025-04-06","cited_by_count":1,"area":null},{"id":"2506.11627","title":"Evaluating Fairness and Mitigating Bias in Machine Learning: A Novel Technique using Tensor Data and Bayesian Regression","created":"2025-06-13","cited_by_count":1,"area":null},{"id":"2506.18070","title":"Training-free Test-time Improvement for Explainable Medical Image Classification","created":"2025-06-22","cited_by_count":1,"area":null},{"id":"2508.13626","title":"State of Abdominal CT Datasets: A Critical Review of Bias, Clinical Relevance, and Real-world Applicability","created":"2025-08-19","cited_by_count":1,"area":null},{"id":"2512.09665","title":"OxEnsemble: Fair Ensembles for Low-Data Classification","created":"2025-12-10","cited_by_count":1,"area":null},{"id":"2601.12382","title":"A Hierarchical Benchmark of Foundation Models for Dermatology","created":"2026-01-18","cited_by_count":1,"area":null},{"id":"2601.17586","title":"Stylizing ViT: Anatomy-Preserving Instance Style Transfer for Domain Generalization","created":"2026-01-24","cited_by_count":1,"area":null},{"id":"2602.03264","title":"HypCBC: Domain-Invariant Hyperbolic Cross-Branch Consistency for Generalizable Medical Image Analysis","created":"2026-02-03","cited_by_count":1,"area":null},{"id":"2605.25168","title":"Methodology for Creating a Clinically Verified Dermoscopic Image Dataset","created":"2026-05-24","cited_by_count":1,"area":null},{"id":"2304.02190","title":"Globalizing Fairness Attributes in Machine Learning: A Case Study on Health in Africa","created":"2023-04-05","cited_by_count":0,"area":null},{"id":"2401.13280","title":"DDI-CoCo: A Dataset For Understanding The Effect Of Color Contrast In Machine-Assisted Skin Disease Detection","created":"2024-01-24","cited_by_count":0,"area":null},{"id":"2403.07724","title":"Balancing Fairness and Accuracy in Data-Restricted Binary Classification","created":"2024-03-12","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":"2503.17477","title":"Bayesian generative models can flag performance loss, bias, and out-of-distribution image content","created":"2025-03-21","cited_by_count":0,"area":null},{"id":"2504.11415","title":"Robustness and sex differences in skin cancer detection: logistic regression vs CNNs","created":"2025-04-15","cited_by_count":0,"area":null},{"id":"2507.05755","title":"An autonomous agent for auditing and improving the reliability of clinical AI models","created":"2025-07-08","cited_by_count":0,"area":null},{"id":"2508.18826","title":"SWiFT: Soft-Mask Weight Fine-tuning for Bias Mitigation","created":"2025-08-26","cited_by_count":0,"area":null},{"id":"2509.11184","title":"The Impact of Skin Tone Label Granularity on the Performance and Fairness of AI Based Dermatology Image Classification Models","created":"2025-09-14","cited_by_count":0,"area":null},{"id":"2510.04033","title":"A global log for medical AI","created":"2025-10-05","cited_by_count":0,"area":null},{"id":"2510.06655","title":"Fitzpatrick Thresholding for Skin Image Segmentation","created":"2025-10-08","cited_by_count":0,"area":null},{"id":"2511.10367","title":"DermAI: Clinical dermatology acquisition through quality-driven image collection for AI classification in mobile","created":"2025-11-13","cited_by_count":0,"area":null},{"id":"2512.00015","title":"The Impact of Concept Explanations and Interventions on Human-Machine Collaboration","created":"2025-10-19","cited_by_count":0,"area":null},{"id":"2512.08733","title":"Mitigating Individual Skin Tone Bias in Skin Lesion Classification through Distribution-Aware Reweighting","created":"2025-12-09","cited_by_count":0,"area":null},{"id":"2601.00990","title":"Uncertainty-Calibrated Explainable Artificial Intelligence for Fetal Ultrasound Plane Classification: A Systematic Review","created":"2026-01-02","cited_by_count":0,"area":null},{"id":"2601.13094","title":"Patient-Conditioned Adaptive Offsets for Reliable Diagnosis across Subgroups","created":"2026-01-19","cited_by_count":0,"area":null},{"id":"2602.10265","title":"Colorimeter-Supervised Skin Tone Estimation from Dermatoscopic Images for Fairness Auditing","created":"2026-02-10","cited_by_count":0,"area":null},{"id":"2602.19857","title":"Contrastive meta-domain adaptation for robust skin lesion classification across clinical and acquisition conditions","created":"2026-02-23","cited_by_count":0,"area":null},{"id":"2602.23447","title":"SALIENT: Frequency-Aware Paired Diffusion for Controllable Long-Tail CT Detection","created":"2026-02-26","cited_by_count":0,"area":null},{"id":"2603.07163","title":"PromptGate Client Adaptive Vision Language Gating for Open Set Federated Active Learning","created":"2026-03-07","cited_by_count":0,"area":null},{"id":"2603.26483","title":"EcoFair: Energy-Efficient Inference Routing for Edge AI under Data Degradation","created":"2026-03-27","cited_by_count":0,"area":null},{"id":"2605.19692","title":"WBCAtt+: Fine-Grained Pixel-Level Morphological Annotations for White Blood Cell Images","created":"2026-05-19","cited_by_count":0,"area":null},{"id":"2605.29836","title":"CB-SLICE: Concept-Based Interpretable Error Slice Discovery","created":"2026-05-28","cited_by_count":0,"area":null},{"id":"2606.03214","title":"Effect of Demographic Bias on Skin Lesion Classification","created":"2026-06-02","cited_by_count":0,"area":null},{"id":"2606.13135","title":"Cascade Classification of Dermoscopic Images of Skin Neoplasms with Controllable Sensitivity and External Clinical Validation","created":"2026-06-11","cited_by_count":0,"area":null}],"next_cursor":"100"}