Philipp Tschandl

Medical University of Vienna — Austria

Medicine · Health Sciences

38h-index7.6kcitations183works7.32yr avg
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Research Topics

Cutaneous Melanoma Detection and Management(129), Nonmelanoma Skin Cancer Studies(59), AI in cancer detection(52), Cutaneous lymphoproliferative disorders research(31), Cell Image Analysis Techniques(14)

Publications183 total

Explainable AI as a Double-Edged Sword in Dermatology: The Impact on Clinicians versus The Public
2025Open Access
Explainable AI as a Double-Edged Sword in Dermatology: The Impact on Clinicians versus The Public
arXiv (Cornell University)·2025Open Access
Dermoscopy in Merkel Cell Carcinoma—A Multicenter Retrospective Study of the International Dermoscopy Society
International Journal of Dermatology·2025· 4 cited
Predictive models of melanoma metastasis based on dermatoscopy in an international retrospective human reader study
Nature Communications·2025Open Access
272P A multicenter study on human-machine interaction: Can CNN-support boost clinical decision-making in rare skin tumors?
ESMO Real World Data and Digital Oncology·2025Open Access
Special Issue on Artificial Intelligence in Dermatology: A Call for Collaborative Innovation
Dermatology Practical & Conceptual·2025Open Access
The art of diagnosing rare skin tumors: Can DL-CNNs enhance dermatologists’ diagnostic accuracy?
European Journal of Cancer·2025· 1 citedOpen Access
A multimodal vision foundation model for clinical dermatology
Nature Medicine·2025· 41 citedOpen Access
Dermatologist-like explainable AI enhances melanoma diagnosis accuracy: eye-tracking study
Nature Communications·2025· 13 citedOpen Access
A clinical‐dermoscopic risk scoring model for early melanoma of the soles: The <i>iDScore_plantar</i>
Journal of the European Academy of Dermatology and Venereology·2025· 1 cited
Multimodal Image Dataset for AI-Based Skin Cancer (MIDAS) Benchmarking
NEJM AI·2025· 5 cited
CleanPatrick: A Benchmark for Image Data Cleaning
arXiv (Cornell University)·2025Open Access
Derm1M: A Million-scale Vision-Language Dataset Aligned with Clinical Ontology Knowledge for Dermatology
arXiv (Cornell University)·2025Open Access
The BRAAFF-Annotated Acral Lesions Dataset (BALD): A Curated Set of Dermatoscopic Images of Acral Melanoma and Nevi from Various Sources
Journal of Investigative Dermatology·2025· 1 cited
Efficacy and tolerability of neoadjuvant therapy with Talimogene laherparepvec in cutaneous basal cell carcinoma: a phase II trial (NeoBCC trial)
Nature Cancer·2025· 10 citedOpen Access
Dermatoscopic predictors of melanoma metastasis. An international human reader study
EJC Skin Cancer·2025Open Access
Machine learning algorithms using dermatoscopy for the prediction of melanoma prognosis: A narrative review of the literature
EJC Skin Cancer·2025Open Access
Predictive Models of Melanoma Metastasis Based on Dermatoscopy: An International Human Reader Study
SSRN Electronic Journal·2025Open Access
Effect of patient‐contextual skin images in human‐ and artificial intelligence‐based diagnosis of melanoma: Results from the 2020 <scp>SIIM</scp>‐<scp>ISIC</scp> melanoma classification challenge
Journal of the European Academy of Dermatology and Venereology·2024· 5 citedOpen Access
Stiffness-Dependent Lysyl Oxidase Regulation through Hypoxia-Inducing Factor 1 Drives Extracellular Matrix Modifications in Psoriasis
Journal of Investigative Dermatology·2024· 2 citedOpen Access
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Frequent Co-authors

Harald Kittler(41), Giuseppe Argenziano(19), Iris Zalaudek(19), Aimilios Lallas(17), H. Peter Soyer(14), Cliff Rosendahl(13), Andreas Blum(12), Rainer Hofmann‐Wellenhof(11), L. Thomas(11), Allan C. Halpern(10), Josep Malvehy(10), Susana Puig(9), Ralph P. Braun(8), Scott W. Menzies(8), Christoph Sinz(8), Noel Codella(7), Zoé Apalla(7), Caterina Longo(7), John Paoli(7), Ashfaq A. Marghoob(7)