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Didem Cifci

Showing results (1-10 of 10) with videos related to

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The Journal of Pathology|March 28, 2022
Artificial intelligence to identify genetic alterations in conventional histopathologyDidem Cifci, Sebastian Foersch, Jakob Nikolas Kather
Journal of Clinical Pathology|May 20, 2025
Deep learning predicts microsatellite instability status in colorectal carcinoma in an ethnically heterogeneous population in South AfricaAlessandro Pietro Aldera, Didem Cifci, Gregory Patrick Veldhuizen, et al.
Scientific Reports|March 23, 2022
Weakly supervised end-to-end artificial intelligence in gastrointestinal endoscopyLukas Buendgens, Didem Cifci, Narmin Ghaffari Laleh, et al.
JHEP Reports : Innovation in Hepatology|July 17, 2025
Deep learning can predict cardiovascular events from liver imagingGregory Patrick Veldhuizen, Tim Lenz, Didem Cifci, et al.
NPJ Breast Cancer|November 8, 2023
Prediction models for hormone receptor status in female breast cancer do not extend to males: further evidence of sex-based disparity in breast cancerSubarnarekha Chatterji, Jan Moritz Niehues, Marko van Treeck, et al.
NPJ Precision Oncology|March 28, 2023
Self-supervised attention-based deep learning for pan-cancer mutation prediction from histopathologyOliver Lester Saldanha, Chiara M L Loeffler, Jan Moritz Niehues, et al.
Gastric Cancer : Official Journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association|June 3, 2023
Deep learning-based subtyping of gastric cancer histology predicts clinical outcome: a multi-institutional retrospective studyGregory Patrick Veldhuizen, Christoph Röcken, Hans-Michael Behrens, et al.
Medrxiv : the Preprint Server for Health Sciences|March 22, 2023
Direct prediction of Homologous Recombination Deficiency from routine histology in ten different tumor types with attention-based Multiple Instance Learning: a development and validation studyChiara Maria Lavinia Loeffler, Omar S M El Nahhas, Hannah Sophie Muti, et al.
BMC Biology|October 8, 2024
Prediction of homologous recombination deficiency from routine histology with attention-based multiple instance learning in nine different tumor typesChiara Maria Lavinia Loeffler, Omar S M El Nahhas, Hannah Sophie Muti, et al.
Nature Medicine|April 26, 2022
Swarm learning for decentralized artificial intelligence in cancer histopathologyOliver Lester Saldanha, Philip Quirke, Nicholas P West, et al.
Pageof 1

Showing results (1-10 of 10) with videos related to

Sort By:
Pageof 1
The Journal of Pathology|March 28, 2022
Artificial intelligence to identify genetic alterations in conventional histopathologyDidem Cifci, Sebastian Foersch, Jakob Nikolas Kather
Journal of Clinical Pathology|May 20, 2025
Deep learning predicts microsatellite instability status in colorectal carcinoma in an ethnically heterogeneous population in South AfricaAlessandro Pietro Aldera, Didem Cifci, Gregory Patrick Veldhuizen, et al.
Scientific Reports|March 23, 2022
Weakly supervised end-to-end artificial intelligence in gastrointestinal endoscopyLukas Buendgens, Didem Cifci, Narmin Ghaffari Laleh, et al.
JHEP Reports : Innovation in Hepatology|July 17, 2025
Deep learning can predict cardiovascular events from liver imagingGregory Patrick Veldhuizen, Tim Lenz, Didem Cifci, et al.
NPJ Breast Cancer|November 8, 2023
Prediction models for hormone receptor status in female breast cancer do not extend to males: further evidence of sex-based disparity in breast cancerSubarnarekha Chatterji, Jan Moritz Niehues, Marko van Treeck, et al.
NPJ Precision Oncology|March 28, 2023
Self-supervised attention-based deep learning for pan-cancer mutation prediction from histopathologyOliver Lester Saldanha, Chiara M L Loeffler, Jan Moritz Niehues, et al.
Gastric Cancer : Official Journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association|June 3, 2023
Deep learning-based subtyping of gastric cancer histology predicts clinical outcome: a multi-institutional retrospective studyGregory Patrick Veldhuizen, Christoph Röcken, Hans-Michael Behrens, et al.
Medrxiv : the Preprint Server for Health Sciences|March 22, 2023
Direct prediction of Homologous Recombination Deficiency from routine histology in ten different tumor types with attention-based Multiple Instance Learning: a development and validation studyChiara Maria Lavinia Loeffler, Omar S M El Nahhas, Hannah Sophie Muti, et al.
BMC Biology|October 8, 2024
Prediction of homologous recombination deficiency from routine histology with attention-based multiple instance learning in nine different tumor typesChiara Maria Lavinia Loeffler, Omar S M El Nahhas, Hannah Sophie Muti, et al.
Nature Medicine|April 26, 2022
Swarm learning for decentralized artificial intelligence in cancer histopathologyOliver Lester Saldanha, Philip Quirke, Nicholas P West, et al.
Pageof 1