Philipp Tschandl

According to our database, Philipp Tschandl authored at least 14 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Guest Editorial Skin Image Analysis in the Age of Deep Learning.

M. Emre Celebi, Catarina Barata, Allan Halpern, Philipp Tschandl, Marc Combalia, Yuan Liu

IEEE J. Biomed. Health Informatics, 2023

Automated dermatoscopic pattern discovery by clustering neural network output for human-computer interaction.

Lidia Talavera-Martínez, Philipp Tschandl

CoRR, 2023

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

Tirtha Chanda, Katja Hauser, Sarah Hobelsberger, Tabea-Clara Bucher, Carina Nogueira Garcia, Christoph Wies, Harald Kittler, Philipp Tschandl, Cristian Navarrete-Dechent, Sebastian Podlipnik, Emmanouil Chousakos, Iva Crnaric, Jovana Majstorovic, Linda Alhajwan, Tanya Foreman, Sandra Peternel, Sergei Sarap, Irem Özdemir, Raymond L. Barnhill, Mar Llamas Velasco, Gabriela Poch, Sören Korsing, Wiebke Sondermann, Frank Friedrich Gellrich, Markus V. Heppt, Michael Erdmann, Sebastian Haferkamp, Konstantin Drexler, Matthias Goebeler, Bastian Schilling, Jochen S. Utikal, Kamran Ghoreschi, Stefan Fröhling, Eva Krieghoff-Henning, Titus J. Brinker

CoRR, 2023

Evaluating a CDS Hook for FHIR Questionnaires in a SMART on FHIR App and an Existing Dermatological CDS System.

Philipp Tschandl, Christoph Rinner

Proceedings of the dHealth 2023, 2023

2022

Guest editorial: Image analysis in dermatology.

M. Emre Celebi, Catarina Barata, Allan Halpern, Philipp Tschandl, Marc Combalia, Yuan Liu

Medical Image Anal., 2022

2021

Reproduction of patterns in melanocytic proliferations by agent-based simulation and geometric modeling.

Günter Schneckenreither, Philipp Tschandl, Claire Rippinger, Christoph Sinz, Dominik Brunmeir, Nikolas Popper, Harald Kittler

PLoS Comput. Biol., 2021

2020

A Patient-Centric Dataset of Images and Metadata for Identifying Melanomas Using Clinical Context.

Veronica Rotemberg, Nicholas R. Kurtansky, Brigid Betz-Stablein, Liam J. Caffery, Emmanouil Chousakos, Noel Codella, Marc Combalia, Stephen W. Dusza, Pascale Guitera, David A. Gutman, Allan Halpern, Harald Kittler, Kivanç Köse, Steve Langer, Konstantinos Liopryis, Josep Malvehy, Shenara Musthaq, Jabpani Nanda, Ofer Reiter, George Shih, Alexander Stratigos, Philipp Tschandl, Jochen Weber, H. Peter Soyer

CoRR, 2020

The effects of skin lesion segmentation on the performance of dermatoscopic image classification.

Amirreza Mahbod, Philipp Tschandl, Georg Langs, Rupert Ecker, Isabella Ellinger

Comput. Methods Programs Biomed., 2020

2019

Detecting cutaneous basal cell carcinomas in ultra-high resolution and weakly labelled histopathological images.

Susanne Kimeswenger, Elisabeth Rumetshofer, Markus Hofmarcher, Philipp Tschandl, Harald Kittler, Sepp Hochreiter, Wolfram Hötzenecker, Günter Klambauer

CoRR, 2019

Skin Lesion Analysis Toward Melanoma Detection 2018: A Challenge Hosted by the International Skin Imaging Collaboration (ISIC).

Noel C. F. Codella, Veronica Rotemberg, Philipp Tschandl, M. Emre Celebi, Stephen W. Dusza, David A. Gutman, Brian Helba, Aadi Kalloo, Konstantinos Liopyris, Michael A. Marchetti, Harald Kittler, Allan Halpern

CoRR, 2019

Domain-specific classification-pretrained fully convolutional network encoders for skin lesion segmentation.

Philipp Tschandl, Christoph Sinz, Harald Kittler

Comput. Biol. Medicine, 2019

2018

Diagnostic Accuracy of Content Based Dermatoscopic Image Retrieval with Deep Classification Features.

Philipp Tschandl, Giuseppe Argenziano, Majid Razmara, Jordan Yap

CoRR, 2018

The HAM10000 Dataset: A Large Collection of Multi-Source Dermatoscopic Images of Common Pigmented Skin Lesions.

Philipp Tschandl, Cliff Rosendahl, Harald Kittler

CoRR, 2018

Interoperable Localisation of Lesions on the Human Skin.

Andreas Weinbacher, Philipp Tschandl, Harald Kittler, Christoph Rinner

Proceedings of the Building Continents of Knowledge in Oceans of Data: The Future of Co-Created eHealth, 2018