ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2203.08807
  4. Cited By
Disparities in Dermatology AI Performance on a Diverse, Curated Clinical
  Image Set

Disparities in Dermatology AI Performance on a Diverse, Curated Clinical Image Set

15 March 2022
Roxana Daneshjou
Kailas Vodrahalli
R. Novoa
Melissa Jenkins
Weixin Liang
V. Rotemberg
J. Ko
S. Swetter
E. Bailey
Olivier Gevaert
P. Mukherjee
Michelle Phung
K. Yekrang
Bradley Fong
Rachna Sahasrabudhe
Johan A. C. Allerup
Utako Okata-Karigane
James Zou
A. Chiou
ArXivPDFHTML

Papers citing "Disparities in Dermatology AI Performance on a Diverse, Curated Clinical Image Set"

13 / 63 papers shown
Title
China and the U.S. produce more impactful AI research when collaborating
  together
China and the U.S. produce more impactful AI research when collaborating together
Bedoor K. AlShebli
Shahan Ali Memon
James A. Evans
Talal Rahwan
20
4
0
21 Apr 2023
Globalizing Fairness Attributes in Machine Learning: A Case Study on
  Health in Africa
Globalizing Fairness Attributes in Machine Learning: A Case Study on Health in Africa
M. Asiedu
Awa Dieng
Abigail Oppong
Margaret Nagawa
Sanmi Koyejo
Katherine A. Heller
54
7
0
05 Apr 2023
Towards Trustable Skin Cancer Diagnosis via Rewriting Model's Decision
Towards Trustable Skin Cancer Diagnosis via Rewriting Model's Decision
Siyuan Yan
Zhen Yu
Xuelin Zhang
Dwarikanath Mahapatra
Shekhar S. Chandra
Monika Janda
Peter Soyer
Z. Ge
27
25
0
02 Mar 2023
A Closer Look at the Intervention Procedure of Concept Bottleneck Models
A Closer Look at the Intervention Procedure of Concept Bottleneck Models
Sungbin Shin
Yohan Jo
Sungsoo Ahn
Namhoon Lee
23
30
0
28 Feb 2023
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
Roxana Daneshjou
Mert Yuksekgonul
Zhuo Cai
R. Novoa
J. Zou
29
44
0
01 Feb 2023
Improving dermatology classifiers across populations using images
  generated by large diffusion models
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
30
31
0
23 Nov 2022
Env-Aware Anomaly Detection: Ignore Style Changes, Stay True to Content!
Env-Aware Anomaly Detection: Ignore Style Changes, Stay True to Content!
Stefan Smeu
Elena Burceanu
Andrei Liviu Nicolicioiu
Emanuela Haller
35
4
0
06 Oct 2022
CIRCLe: Color Invariant Representation Learning for Unbiased
  Classification of Skin Lesions
CIRCLe: Color Invariant Representation Learning for Unbiased Classification of Skin Lesions
Arezou Pakzad
Kumar Abhishek
Ghassan Hamarneh
30
17
0
29 Aug 2022
Towards Transparency in Dermatology Image Datasets with Skin Tone
  Annotations by Experts, Crowds, and an Algorithm
Towards Transparency in Dermatology Image Datasets with Skin Tone Annotations by Experts, Crowds, and an Algorithm
Matthew Groh
Caleb Harris
Roxana Daneshjou
Omar Badri
A. Koochek
17
40
0
06 Jul 2022
Identifying the Context Shift between Test Benchmarks and Production
  Data
Identifying the Context Shift between Test Benchmarks and Production Data
Matthew Groh
OOD
15
8
0
03 Jul 2022
Fairness via In-Processing in the Over-parameterized Regime: A
  Cautionary Tale
Fairness via In-Processing in the Over-parameterized Regime: A Cautionary Tale
A. Veldanda
Ivan Brugere
Jiahao Chen
Sanghamitra Dutta
Alan Mishler
S. Garg
33
7
0
29 Jun 2022
A Survey on Deep Learning for Skin Lesion Segmentation
A Survey on Deep Learning for Skin Lesion Segmentation
Z. Mirikharaji
Kumar Abhishek
Alceu Bissoto
Catarina Barata
Sandra Avila
Eduardo Valle
M. Celebi
Ghassan Hamarneh
39
82
0
01 Jun 2022
Evaluating Deep Neural Networks Trained on Clinical Images in
  Dermatology with the Fitzpatrick 17k Dataset
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
Previous
12