SkinCon: A skin disease dataset densely annotated by domain experts for
fine-grained model debugging and analysis

SkinCon: A skin disease dataset densely annotated by domain experts for fine-grained model debugging and analysis

1 February 2023

Roxana Daneshjou

Mert Yuksekgonul

Papers citing "SkinCon: A skin disease dataset densely annotated by domain experts for fine-grained model debugging and analysis"

17 / 17 papers shown

Title
MAKE: Multi-Aspect Knowledge-Enhanced Vision-Language Pretraining for Zero-shot Dermatological Assessment Siyuan Yan X. Li Ming Hu Yiwen Jiang Zhen Yu Zongyuan Ge MedIm VLM 31 0 0 14 May 2025
Describe Anything in Medical Images Xi Xiao Yunbei Zhang Thanh-Huy Nguyen Ba Thinh Lam Janet Wang ... Xingjian Li Xiaobei Wang Hao Xu Tianming Liu Min Xu MedIm VLM 51 0 0 09 May 2025
Concept-Based Unsupervised Domain Adaptation Xinyue Xu Yitao Hu Hui Tang Yi Qin Lu Mi Hao Wang Xiaomeng Li 50 0 0 08 May 2025
CBVLM: Training-free Explainable Concept-based Large Vision Language Models for Medical Image Classification Cristiano Patrício Isabel Rio-Torto J. S. Cardoso Luís F. Teixeira João C. Neves VLM 265 1 0 21 Jan 2025
PASSION for Dermatology: Bridging the Diversity Gap with Pigmented Skin Images from Sub-Saharan Africa Philippe Gottfrois Fabian Gröger Faly Herizo Andriambololoniaina Ludovic Amruthalingam Alvaro Gonzalez-Jimenez ... Marc Pouly Mendrika Fifaliana Rakotoarisaona Fahafahantsoa Rapelanoro Rabenja Ibrahima Traoré Alexander A. Navarini LM&MA 42 1 0 07 Nov 2024
Evidential Concept Embedding Models: Towards Reliable Concept Explanations for Skin Disease Diagnosis Yibo Gao Zheyao Gao Xin Gao Yuanye Liu Bomin Wang Xiahai Zhuang 38 2 0 27 Jun 2024
SkinCAP: A Multi-modal Dermatology Dataset Annotated with Rich Medical Captions Juexiao Zhou Liyuan Sun Yan Xu Wenbin Liu Shawn Afvari Zhongyi Han Jiaoyan Song Yongzhi Ji Xiaonan He Xin Gao 48 1 0 28 May 2024
Data Alignment for Zero-Shot Concept Generation in Dermatology AI S. Gadgil Mahtab Bigverdi MedIm AI4MH VLM 36 0 0 19 Apr 2024
Investigating the Quality of DermaMNIST and Fitzpatrick17k Dermatological Image Datasets Kumar Abhishek Aditi Jain Ghassan Hamarneh 49 3 0 25 Jan 2024
Auxiliary Losses for Learning Generalizable Concept-based Models Ivaxi Sheth Samira Ebrahimi Kahou 32 25 0 18 Nov 2023
Towards Reliable Dermatology Evaluation Benchmarks Fabian Gröger Simone Lionetti Philippe Gottfrois Alvaro Gonzalez-Jimenez Matthew Groh Roxana Daneshjou Labelling Consortium Alexander A. Navarini Marc Pouly 33 5 0 13 Sep 2023
VeriX: Towards Verified Explainability of Deep Neural Networks Min Wu Haoze Wu Clark W. Barrett AAML 42 11 0 02 Dec 2022
Post-hoc Concept Bottleneck Models Mert Yuksekgonul Maggie Wang James Zou 145 185 0 31 May 2022
Disparities in Dermatology AI Performance on a Diverse, Curated Clinical Image Set Roxana Daneshjou Kailas Vodrahalli R. Novoa Melissa Jenkins Weixin Liang ... Rachna Sahasrabudhe Johan A. C. Allerup Utako Okata-Karigane James Zou A. Chiou 61 219 0 15 Mar 2022
Evaluating Deep Neural Networks Trained on Clinical Images in Dermatology with the Fitzpatrick 17k Dataset Matthew Groh Caleb Harris L. Soenksen Felix Lau Rachel Han Aerin Kim A. Koochek Omar Badri 112 182 0 20 Apr 2021
On Interpretability of Deep Learning based Skin Lesion Classifiers using Concept Activation Vectors Adriano Lucieri Muhammad Naseer Bajwa S. Braun M. I. Malik Andreas Dengel Sheraz Ahmed MedIm 163 64 0 05 May 2020
On Completeness-aware Concept-Based Explanations in Deep Neural Networks Chih-Kuan Yeh Been Kim Sercan Ö. Arik Chun-Liang Li Tomas Pfister Pradeep Ravikumar FAtt 122 297 0 17 Oct 2019