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2207.02942
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Towards Transparency in Dermatology Image Datasets with Skin Tone Annotations by Experts, Crowds, and an Algorithm
6 July 2022
Matthew Groh
Caleb Harris
Roxana Daneshjou
Omar Badri
A. Koochek
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Papers citing
"Towards Transparency in Dermatology Image Datasets with Skin Tone Annotations by Experts, Crowds, and an Algorithm"
28 / 28 papers shown
Title
Preventing Shortcut Learning in Medical Image Analysis through Intermediate Layer Knowledge Distillation from Specialist Teachers
Machine Learning for Biomedical Imaging (MLBI), 2025
Christopher Boland
Sotirios Tsaftaris
Sonia Dahdouh
44
0
0
21 Nov 2025
TrueSkin: Towards Fair and Accurate Skin Tone Recognition and Generation
Haoming Lu
SyDa
78
1
0
13 Sep 2025
Accountability Framework for Healthcare AI Systems: Towards Joint Accountability in Decision Making
Prachi Bagave
Marcus Westberg
Marijn Janssen
Aaron Yi Ding
43
0
0
03 Sep 2025
Enhancing Fairness in Skin Lesion Classification for Medical Diagnosis Using Prune Learning
Kuniko Paxton
Mohammed Naveed Akram
Dhavalkumar Thakker
Y. Papadopoulos
Tanaya Maslekar
56
0
0
31 Aug 2025
MediQ-GAN: Quantum-Inspired GAN for High Resolution Medical Image Generation
Qingyue Jiao
Yongcan Tang
Jun Zhuang
Jason Cong
Yiyu Shi
MedIm
131
0
0
26 Jun 2025
Evaluating Fairness and Mitigating Bias in Machine Learning: A Novel Technique using Tensor Data and Bayesian Regression
Kuniko Paxton
Mohammed Naveed Akram
Dhavalkumar Thakker
Y. Papadopoulos
148
1
0
13 Jun 2025
When Large Language Models are Reliable for Judging Empathic Communication
Aakriti Kumar
Nalin Poungpeth
Diyi Yang
Erina Farrell
Bruce Lambert
Matthew Groh
167
1
0
11 Jun 2025
FairDD: Enhancing Fairness with domain-incremental learning in dermatological disease diagnosis
IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2024
Yiqin Luo
Tianlong Gu
251
0
0
21 Dec 2024
Dataset Distribution Impacts Model Fairness: Single vs. Multi-Task Learning
Ralf Raumanns
Gerard Schouten
J. Pluim
Veronika Cheplygina
159
1
0
24 Jul 2024
Evaluating the Fairness of Neural Collapse in Medical Image Classification
Kaouther Mouheb
Marawan Elbatel
Stefan Klein
Esther E. Bron
234
1
0
08 Jul 2024
AI-Face: A Million-Scale Demographically Annotated AI-Generated Face Dataset and Fairness Benchmark
Li Lin
Santosh
Xin Eric Wang
Shu Hu
Shu Hu
EGVM
569
27
0
02 Jun 2024
OmniMedVQA: A New Large-Scale Comprehensive Evaluation Benchmark for Medical LVLM
Yutao Hu
Tian-Xin Li
Quanfeng Lu
Wenqi Shao
Junjun He
Yu Qiao
Ping Luo
ELM
LM&MA
187
122
0
14 Feb 2024
Exploring Social Bias in Downstream Applications of Text-to-Image Foundation Models
Adhithya Saravanan
Rafal Kocielnik
Roy Jiang
P. Han
A. Anandkumar
196
9
0
05 Dec 2023
FairTune: Optimizing Parameter Efficient Fine Tuning for Fairness in Medical Image Analysis
International Conference on Learning Representations (ICLR), 2023
Raman Dutt
Ondrej Bohdal
Sotirios A. Tsaftaris
Timothy M. Hospedales
404
20
0
08 Oct 2023
Beyond Skin Tone: A Multidimensional Measure of Apparent Skin Color
IEEE International Conference on Computer Vision (ICCV), 2023
William Thong
Przemyslaw K. Joniak
Alice Xiang
229
26
0
10 Sep 2023
FACET: Fairness in Computer Vision Evaluation Benchmark
IEEE International Conference on Computer Vision (ICCV), 2023
Laura Gustafson
Chloe Rolland
Nikhila Ravi
Quentin Duval
Aaron B. Adcock
Cheng-Yang Fu
Melissa Hall
Candace Ross
VLM
EGVM
225
58
0
31 Aug 2023
Augmenting medical image classifiers with synthetic data from latent diffusion models
Luke Sagers
James A. Diao
Luke Melas-Kyriazi
Matthew Groh
Pranav Rajpurkar
A. Adamson
V. Rotemberg
Roxana Daneshjou
Arjun K. Manrai
DiffM
MedIm
181
19
0
23 Aug 2023
The Role of Subgroup Separability in Group-Fair Medical Image Classification
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2023
Charles Jones
Mélanie Roschewitz
Ben Glocker
OOD
122
14
0
06 Jul 2023
Consensus and Subjectivity of Skin Tone Annotation for ML Fairness
Neural Information Processing Systems (NeurIPS), 2023
Candice Schumann
Gbolahan O. Olanubi
Auriel Wright
Ellis P. Monk
Courtney Heldreth
Susanna Ricco
249
31
0
16 May 2023
Skin Deep: Investigating Subjectivity in Skin Tone Annotations for Computer Vision Benchmark Datasets
Conference on Fairness, Accountability and Transparency (FAccT), 2023
Teanna Barrett
Quan Ze Chen
Amy X. Zhang
199
19
0
15 May 2023
Parameter-Efficient Fine-Tuning for Medical Image Analysis: The Missed Opportunity
International Conference on Medical Imaging with Deep Learning (MIDL), 2023
Raman Dutt
Linus Ericsson
Pedro Sanchez
Sotirios A. Tsaftaris
Timothy M. Hospedales
MedIm
339
71
0
14 May 2023
Towards unraveling calibration biases in medical image analysis
María Agustina Ricci Lara
Candelaria Mosquera
Enzo Ferrante
Rodrigo Echeveste
157
10
0
09 May 2023
Transformer-based interpretable multi-modal data fusion for skin lesion classification
Theodor Cheslerean-Boghiu
Melia-Evelina Fleischmann
Theresa Willem
Tobias Lasser
ViT
MedIm
AI4CE
91
2
0
03 Apr 2023
FairAdaBN: Mitigating unfairness with adaptive batch normalization and its application to dermatological disease classification
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2023
Zikang Xu
Shang Zhao
Quan Quan
Qingsong Yao
S. Kevin Zhou
224
20
0
15 Mar 2023
Improving dermatology classifiers across populations using images generated by large diffusion models
Luke Sagers
James A. Diao
Matthew Groh
Pranav Rajpurkar
A. Adamson
Arjun K. Manrai
DiffM
MedIm
157
38
0
23 Nov 2022
Addressing Fairness Issues in Deep Learning-Based Medical Image Analysis: A Systematic Review
Zikang Xu
Jun Li
Yongshuo Zong
Han Li
Qingsong Yao
S. Kevin Zhou
459
31
0
27 Sep 2022
FairDisCo: Fairer AI in Dermatology via Disentanglement Contrastive Learning
Siyi Du
Ben Hers
Nourhan Bayasi
Ghassan Hamarneh
Rafeef Garbi
279
26
0
22 Aug 2022
Identifying the Context Shift between Test Benchmarks and Production Data
Matthew Groh
OOD
146
8
0
03 Jul 2022
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