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Juan I Pisula

Showing results (1-10 of 7) with videos related to

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Scientific Reports|February 15, 2025
Efficient WSI classification with sequence reduction and transformers pretrained on textJuan I Pisula, Katarzyna Bozek
BJC Reports|May 20, 2025
Deep learning-based interpretable prediction of recurrence of diffuse large B-cell lymphomaHussein Naji, Paul Hahn, Juan I Pisula, et al.
The British Journal of Surgery|June 21, 2023
Prediction of postoperative complications after oesophagectomy using machine-learning methodsJin-On Jung, Juan I Pisula, Kasia Bozek, et al.
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|November 22, 2020
Noise reduction using novel loss functions to compute tissue mineral density and trabecular bone volume fraction on low resolution QCTFelix S L Thomsen, Claudio A Delrieux, Juan I Pisula, et al.
NPJ Precision Oncology|June 28, 2025
Explainable, federated deep learning model predicts disease progression risk of cutaneous squamous cell carcinomaJuan I Pisula, Doris Helbig, Lucas Sancéré, et al.
Cancers|July 13, 2024
Deep Learning Histology for Prediction of Lymph Node Metastases and Tumor Regression after Neoadjuvant FLOT Therapy of Gastroesophageal AdenocarcinomaJin-On Jung, Juan I Pisula, Xenia Beyerlein, et al.
British Journal of Cancer|January 30, 2023
Predicting the HER2 status in oesophageal cancer from tissue microarrays using convolutional neural networksJuan I Pisula, Rabi R Datta, Leandra Börner Valdez, et al.
Pageof 1

Showing results (1-10 of 7) with videos related to

Sort By:
Pageof 1
Scientific Reports|February 15, 2025
Efficient WSI classification with sequence reduction and transformers pretrained on textJuan I Pisula, Katarzyna Bozek
BJC Reports|May 20, 2025
Deep learning-based interpretable prediction of recurrence of diffuse large B-cell lymphomaHussein Naji, Paul Hahn, Juan I Pisula, et al.
The British Journal of Surgery|June 21, 2023
Prediction of postoperative complications after oesophagectomy using machine-learning methodsJin-On Jung, Juan I Pisula, Kasia Bozek, et al.
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|November 22, 2020
Noise reduction using novel loss functions to compute tissue mineral density and trabecular bone volume fraction on low resolution QCTFelix S L Thomsen, Claudio A Delrieux, Juan I Pisula, et al.
NPJ Precision Oncology|June 28, 2025
Explainable, federated deep learning model predicts disease progression risk of cutaneous squamous cell carcinomaJuan I Pisula, Doris Helbig, Lucas Sancéré, et al.
Cancers|July 13, 2024
Deep Learning Histology for Prediction of Lymph Node Metastases and Tumor Regression after Neoadjuvant FLOT Therapy of Gastroesophageal AdenocarcinomaJin-On Jung, Juan I Pisula, Xenia Beyerlein, et al.
British Journal of Cancer|January 30, 2023
Predicting the HER2 status in oesophageal cancer from tissue microarrays using convolutional neural networksJuan I Pisula, Rabi R Datta, Leandra Börner Valdez, et al.
Pageof 1