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Philipp Tschandl
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2020 – today
- 2024
- [i10]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) - [i9]Siyuan Yan, Zhen Yu, Clare Primiero, Cristina Vico-Alonso, Zhonghua Wang, Litao Yang, Philipp Tschandl, Ming Hu, Gin Tan, Vincent Tang, Aik Beng Ng, David Powell, C. Paul Bonnington, Simon See, Monika Janda, Victoria Mar, Harald Kittler, H. Peter Soyer, Zongyuan Ge:
A General-Purpose Multimodal Foundation Model for Dermatology. CoRR abs/2410.15038 (2024) - 2023
- [j5]M. Emre Celebi, Catarina Barata, Allan Halpern, Philipp Tschandl, Marc Combalia, Yuan Liu:
Guest Editorial Skin Image Analysis in the Age of Deep Learning. IEEE J. Biomed. Health Informatics 27(1): 143-144 (2023) - [c2]Philipp Tschandl, Christoph Rinner:
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, Md Sirajus Salekin, Hyunwoo J. Kim, Shadi Albarqouni, Catarina Barata, Allan Halpern, Philipp Tschandl, Marc Combalia, Yuan Liu, Ghada Zamzmi, Joshua Levy, Huzefa Rangwala, Annika Reinke, Diya Wynn, Bennett A. Landman, Won-Ki Jeong, Yiqing Shen, Zhongying Deng, Spyridon Bakas, Xiaoxiao Li, Chen Qin, Nicola Rieke, Holger Roth, Daguang Xu:
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, 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:
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, Allan Halpern, Philipp Tschandl, Marc Combalia, Yuan Liu:
Guest editorial: Image analysis in dermatology. Medical Image Anal. 79: 102468 (2022) - 2021
- [j3]Günter Schneckenreither, Philipp Tschandl, Claire Rippinger, Christoph Sinz, Dominik Brunmeir, Nikolas Popper, Harald Kittler:
Reproduction of patterns in melanocytic proliferations by agent-based simulation and geometric modeling. PLoS Comput. Biol. 17(2) (2021) - 2020
- [j2]Amirreza Mahbod, Philipp Tschandl, Georg Langs, Rupert Ecker, Isabella Ellinger:
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, Christoph Sinz, Harald Kittler:
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, M. Emre Celebi, Stephen W. Dusza, David A. Gutman, Brian Helba, Aadi Kalloo, Konstantinos Liopyris, Michael A. Marchetti, Harald Kittler, Allan Halpern:
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, Wolfram Hötzenecker, Günter Klambauer:
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, Christoph Rinner:
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 2024-11-28 21:26 CET by the dblp team
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