Publications by authors named "Juan Pisula"

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Explainable, federated deep learning model predicts disease progression risk of cutaneous squamous cell carcinoma.
Juan I Pisula, Doris Helbig, Lucas Sancéré, Oana-Diana Persa, Corinna Bürger

NPJ Precis Oncol· June 2025

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Deep learning-based interpretable prediction of recurrence of diffuse large B-cell lymphoma.
Hussein Naji, Paul Hahn, Juan I Pisula, Stefano Ugliano, Adrian Simon

BJC Rep· May 2025

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Efficient WSI classification with sequence reduction and transformers pretrained on text.
Juan I Pisula, Katarzyna Bozek

Sci Rep· February 2025

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First experiences with machine learning predictions of accelerated declining eGFR slope of living kidney donors 3 years after donation.
Leandra Lukomski, Juan Pisula, Tristan Wagner, Andrii Sabov, Nils Große Hokamp

J Nephrol· July 2024

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Deep Learning Histology for Prediction of Lymph Node Metastases and Tumor Regression after Neoadjuvant FLOT Therapy of Gastroesophageal Adenocarcinoma.
Jin-On Jung, Juan I Pisula, Xenia Beyerlein, Leandra Lukomski, Karl Knipper

Cancers (Basel)· July 2024

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Prediction of postoperative complications after oesophagectomy using machine-learning methods.
Jin-On Jung, Juan I Pisula, Kasia Bozek, Felix Popp, Hans F Fuchs

Br J Surg· September 2023

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Predicting the HER2 status in oesophageal cancer from tissue microarrays using convolutional neural networks.
Juan I Pisula, Rabi R Datta, Leandra Börner Valdez, Jan-Robert Avemarg, Jin-On Jung

Br J Cancer· March 2023

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Noise reduction using novel loss functions to compute tissue mineral density and trabecular bone volume fraction on low resolution QCT.
Felix S L Thomsen, Claudio A Delrieux, Juan I Pisula, José M Fuertes García, Manuel Lucena

Comput Med Imaging Graph· December 2020

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