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Dermatologist-like explainable AI enhances trust and confidence in
  diagnosing melanoma

Dermatologist-like explainable AI enhances trust and confidence in diagnosing melanoma

17 March 2023
T. Chanda
Katja Hauser
S. Hobelsberger
Tabea-Clara Bucher
Carina Nogueira Garcia
Christoph Wies
Harald Kittler
P. Tschandl
C. Navarrete-Dechent
S. Podlipnik
E. Chousakos
I. Crnarić
J. Majstorovic
Linda Alhajwan
Tanya Foreman
S. Peternel
S. Sarap
I. Özdemir
R. Barnhill
Marcial Velasco
G. Poch
Sören Korsing
W. Sondermann
F. Gellrich
M. Heppt
Michael Erdmann
S. Haferkamp
K. Drexler
Matthias Goebeler
Bastian Schilling
J. Utikal
K. Ghoreschi
S. Fröhling
E. Krieghoff-Henning
T. Brinker
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Papers citing "Dermatologist-like explainable AI enhances trust and confidence in diagnosing melanoma"

9 / 9 papers shown
Title
Methodological Explainability Evaluation of an Interpretable Deep
  Learning Model for Post-Hepatectomy Liver Failure Prediction Incorporating
  Counterfactual Explanations and Layerwise Relevance Propagation: A
  Prospective In Silico Trial
Methodological Explainability Evaluation of an Interpretable Deep Learning Model for Post-Hepatectomy Liver Failure Prediction Incorporating Counterfactual Explanations and Layerwise Relevance Propagation: A Prospective In Silico Trial
Xian Zhong
Zohaib Salahuddin
Yi Chen
Henry C. Woodruff
H. Long
...
Lili Chen
Dongming Li
Xiaoyan Xie
Manxia Lin
Philippe Lambin
47
1
0
07 Aug 2024
Clinically inspired enhance Explainability and Interpretability of an AI-Tool for BCC diagnosis based on expert annotation
Clinically inspired enhance Explainability and Interpretability of an AI-Tool for BCC diagnosis based on expert annotation
Iván Matas
Carmen Serrano
Francisca Silva
Amalia Serrano
Tomás Toledo-Pastrana
Begoña Acha
30
0
0
27 Jun 2024
Explainable AI Enhances Glaucoma Referrals, Yet the Human-AI Team Still
  Falls Short of the AI Alone
Explainable AI Enhances Glaucoma Referrals, Yet the Human-AI Team Still Falls Short of the AI Alone
Catalina Gomez
Ruolin Wang
Katharina Breininger
Corinne Casey
Chris Bradley
Mitchell Pavlak
Alex T Pham
Jithin Yohannan
Mathias Unberath
20
1
0
24 May 2024
Clinical Melanoma Diagnosis with Artificial Intelligence: Insights from
  a Prospective Multicenter Study
Clinical Melanoma Diagnosis with Artificial Intelligence: Insights from a Prospective Multicenter Study
Lukas Heinlein
Roman C. Maron
A. Hekler
Sarah Haggenmüller
Christoph Wies
...
W. Sondermann
Matthias Goebeler
Bastian Schilling
E. Krieghoff-Henning
T. Brinker
34
0
0
25 Jan 2024
Evaluating Deep Learning-based Melanoma Classification using
  Immunohistochemistry and Routine Histology: A Three Center Study
Evaluating Deep Learning-based Melanoma Classification using Immunohistochemistry and Routine Histology: A Three Center Study
Christoph Wies
Lucas Schneider
Sarah Haggenmüller
Tabea-Clara Bucher
S. Hobelsberger
M. Heppt
Gerardo Ferrara
E. Krieghoff-Henning
T. Brinker
25
7
0
07 Sep 2023
Taking Advice from (Dis)Similar Machines: The Impact of Human-Machine
  Similarity on Machine-Assisted Decision-Making
Taking Advice from (Dis)Similar Machines: The Impact of Human-Machine Similarity on Machine-Assisted Decision-Making
Nina Grgic-Hlaca
C. Castelluccia
Krishna P. Gummadi
HAI
35
12
0
08 Sep 2022
ExAID: A Multimodal Explanation Framework for Computer-Aided Diagnosis
  of Skin Lesions
ExAID: A Multimodal Explanation Framework for Computer-Aided Diagnosis of Skin Lesions
Adriano Lucieri
Muhammad Naseer Bajwa
S. Braun
M. I. Malik
Andreas Dengel
Sheraz Ahmed
36
61
0
04 Jan 2022
On Interpretability of Deep Learning based Skin Lesion Classifiers using
  Concept Activation Vectors
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
165
64
0
05 May 2020
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
Laurens van der Maaten
Kilian Q. Weinberger
PINN
3DV
348
36,437
0
25 Aug 2016
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