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Catharina Silvia Lisson

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

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Rofo : Fortschritte Auf Dem Gebiete Der Rontgenstrahlen Und Der Nuklearmedizin|December 19, 2018
Radiological Diagnosis of Soft Tissue Tumors in Adults: MRI Imaging of Selected Entities Delineating Benign and Malignant TumorsCatharina Silvia Lisson, Christoph Gerhard Lisson, Meinrad Beer, et al.
Peerj. Computer Science|June 26, 2025
Proto-Caps: interpretable medical image classification using prototype learning and privileged informationLuisa Gallée, Catharina Silvia Lisson, Timo Ropinski, et al.
Scientific Reports|November 21, 2023
Self-supervised pre-training with contrastive and masked autoencoder methods for dealing with small datasets in deep learning for medical imagingDaniel Wolf, Tristan Payer, Catharina Silvia Lisson, et al.
Computers in Biology and Medicine|October 10, 2024
Less is More: Selective reduction of CT data for self-supervised pre-training of deep learning models with contrastive learning improves downstream classification performanceDaniel Wolf, Tristan Payer, Catharina Silvia Lisson, et al.
Cancers|December 9, 2023
Radiomics and Clinicopathological Characteristics for Predicting Lymph Node Metastasis in Testicular CancerCatharina Silvia Lisson, Sabitha Manoj, Daniel Wolf, et al.
Cancers|April 23, 2022
Deep Neural Networks and Machine Learning Radiomics Modelling for Prediction of Relapse in Mantle Cell LymphomaCatharina Silvia Lisson, Christoph Gerhard Lisson, Marc Fabian Mezger, et al.
Cancers|January 21, 2022
Longitudinal CT Imaging to Explore the Predictive Power of 3D Radiomic Tumour Heterogeneity in Precise Imaging of Mantle Cell Lymphoma (MCL)Catharina Silvia Lisson, Christoph Gerhard Lisson, Sherin Achilles, et al.
Pageof 1

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

Sort By:
Pageof 1
Rofo : Fortschritte Auf Dem Gebiete Der Rontgenstrahlen Und Der Nuklearmedizin|December 19, 2018
Radiological Diagnosis of Soft Tissue Tumors in Adults: MRI Imaging of Selected Entities Delineating Benign and Malignant TumorsCatharina Silvia Lisson, Christoph Gerhard Lisson, Meinrad Beer, et al.
Peerj. Computer Science|June 26, 2025
Proto-Caps: interpretable medical image classification using prototype learning and privileged informationLuisa Gallée, Catharina Silvia Lisson, Timo Ropinski, et al.
Scientific Reports|November 21, 2023
Self-supervised pre-training with contrastive and masked autoencoder methods for dealing with small datasets in deep learning for medical imagingDaniel Wolf, Tristan Payer, Catharina Silvia Lisson, et al.
Computers in Biology and Medicine|October 10, 2024
Less is More: Selective reduction of CT data for self-supervised pre-training of deep learning models with contrastive learning improves downstream classification performanceDaniel Wolf, Tristan Payer, Catharina Silvia Lisson, et al.
Cancers|December 9, 2023
Radiomics and Clinicopathological Characteristics for Predicting Lymph Node Metastasis in Testicular CancerCatharina Silvia Lisson, Sabitha Manoj, Daniel Wolf, et al.
Cancers|April 23, 2022
Deep Neural Networks and Machine Learning Radiomics Modelling for Prediction of Relapse in Mantle Cell LymphomaCatharina Silvia Lisson, Christoph Gerhard Lisson, Marc Fabian Mezger, et al.
Cancers|January 21, 2022
Longitudinal CT Imaging to Explore the Predictive Power of 3D Radiomic Tumour Heterogeneity in Precise Imaging of Mantle Cell Lymphoma (MCL)Catharina Silvia Lisson, Christoph Gerhard Lisson, Sherin Achilles, et al.
Pageof 1