Philipp Tschandl
Orcid: 0000-0003-0391-7810
According to our database1,
Philipp Tschandl
authored at least 16 papers
between 2018 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
2018
2019
2020
2021
2022
2023
2024
0
1
2
3
4
5
2
3
1
1
2
3
2
1
1
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2024
Dermatologist-like explainable AI enhances melanoma diagnosis accuracy: eye-tracking study.
CoRR, 2024
2023
IEEE J. Biomed. Health Informatics, 2023
Automated dermatoscopic pattern discovery by clustering neural network output for human-computer interaction.
CoRR, 2023
Dermatologist-like explainable AI enhances trust and confidence in diagnosing melanoma.
CoRR, 2023
Evaluating a CDS Hook for FHIR Questionnaires in a SMART on FHIR App and an Existing Dermatological CDS System.
Proceedings of the dHealth 2023, 2023
2022
2021
Reproduction of patterns in melanocytic proliferations by agent-based simulation and geometric modeling.
PLoS Comput. Biol., 2021
2020
A Patient-Centric Dataset of Images and Metadata for Identifying Melanomas Using Clinical Context.
CoRR, 2020
The effects of skin lesion segmentation on the performance of dermatoscopic image classification.
Comput. Methods Programs Biomed., 2020
2019
Detecting cutaneous basal cell carcinomas in ultra-high resolution and weakly labelled histopathological images.
CoRR, 2019
Skin Lesion Analysis Toward Melanoma Detection 2018: A Challenge Hosted by the International Skin Imaging Collaboration (ISIC).
CoRR, 2019
Domain-specific classification-pretrained fully convolutional network encoders for skin lesion segmentation.
Comput. Biol. Medicine, 2019
2018
Diagnostic Accuracy of Content Based Dermatoscopic Image Retrieval with Deep Classification Features.
CoRR, 2018
The HAM10000 Dataset: A Large Collection of Multi-Source Dermatoscopic Images of Common Pigmented Skin Lesions.
CoRR, 2018
Proceedings of the Building Continents of Knowledge in Oceans of Data: The Future of Co-Created eHealth, 2018