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Philipp Tschandl
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2020 – today
- 2024
- [i9]Tirtha Chanda, Sarah Haggenmüller, Tabea-Clara Bucher, Tim Holland-Letz, Harald Kittler, Philipp Tschandl, Markus V. Heppt, Carola Berking, Jochen S. Utikal, Bastian Schilling, Claudia Buerger, Cristian Navarrete-Dechent, Matthias Goebeler, Jakob Nikolas Kather, Carolin V. Schneider, Benjamin Durani, Hendrike Durani, Martin Jansen, Juliane Wacker, Joerg Wacker, Reader Study Consortium, Titus J. Brinker:
Dermatologist-like explainable AI enhances melanoma diagnosis accuracy: eye-tracking study. CoRR abs/2409.13476 (2024) - 2023
- [j5]M. Emre Celebi
, Catarina Barata
Guest Editorial Skin Image Analysis in the Age of Deep Learning. IEEE J. Biomed. Health Informatics 27(1): 143-144 (2023) - [c2]Philipp Tschandl
Evaluating a CDS Hook for FHIR Questionnaires in a SMART on FHIR App and an Existing Dermatological CDS System. dHealth 2023: 1-5 - [e1]M. Emre Celebi
Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 Workshops - ISIC 2023, Care-AI 2023, MedAGI 2023, DeCaF 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8-12, 2023, Proceedings. Lecture Notes in Computer Science 14393, Springer 2023, ISBN 978-3-031-47400-2 [contents] - [i8]Tirtha Chanda, Katja Hauser, Sarah Hobelsberger
Dermatologist-like explainable AI enhances trust and confidence in diagnosing melanoma. CoRR abs/2303.12806 (2023) - [i7]Lidia Talavera-Martínez, Philipp Tschandl:
Automated dermatoscopic pattern discovery by clustering neural network output for human-computer interaction. CoRR abs/2309.08533 (2023) - 2022
- [j4]M. Emre Celebi, Catarina Barata
Guest editorial: Image analysis in dermatology. Medical Image Anal. 79: 102468 (2022) - 2021
- [j3]Günter Schneckenreither
Reproduction of patterns in melanocytic proliferations by agent-based simulation and geometric modeling. PLoS Comput. Biol. 17(2) (2021) - 2020
- [j2]Amirreza Mahbod
The effects of skin lesion segmentation on the performance of dermatoscopic image classification. Comput. Methods Programs Biomed. 197: 105725 (2020) - [i6]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:
A Patient-Centric Dataset of Images and Metadata for Identifying Melanomas Using Clinical Context. CoRR abs/2008.07360 (2020) - [i5]Amirreza Mahbod, Philipp Tschandl, Georg Langs, Rupert Ecker, Isabella Ellinger:
The Effects of Skin Lesion Segmentation on the Performance of Dermatoscopic Image Classification. CoRR abs/2008.12602 (2020)
2010 – 2019
- 2019
- [j1]Philipp Tschandl
Domain-specific classification-pretrained fully convolutional network encoders for skin lesion segmentation. Comput. Biol. Medicine 104: 111-116 (2019) - [i4]Noel C. F. Codella, Veronica Rotemberg, Philipp Tschandl
Skin Lesion Analysis Toward Melanoma Detection 2018: A Challenge Hosted by the International Skin Imaging Collaboration (ISIC). CoRR abs/1902.03368 (2019) - [i3]Susanne Kimeswenger, Elisabeth Rumetshofer, Markus Hofmarcher, Philipp Tschandl, Harald Kittler, Sepp Hochreiter
Detecting cutaneous basal cell carcinomas in ultra-high resolution and weakly labelled histopathological images. CoRR abs/1911.06616 (2019) - 2018
- [c1]Andreas Weinbacher, Philipp Tschandl, Harald Kittler
Interoperable Localisation of Lesions on the Human Skin. MIE 2018: 850-854 - [i2]Philipp Tschandl, Cliff Rosendahl, Harald Kittler:
The HAM10000 Dataset: A Large Collection of Multi-Source Dermatoscopic Images of Common Pigmented Skin Lesions. CoRR abs/1803.10417 (2018) - [i1]Philipp Tschandl, Giuseppe Argenziano, Majid Razmara, Jordan Yap:
Diagnostic Accuracy of Content Based Dermatoscopic Image Retrieval with Deep Classification Features. CoRR abs/1810.09487 (2018)
Coauthor Index
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last updated on 2024-10-18 19:30 CEST by the dblp team
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