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Markus H A Janse

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

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Scientific Reports|October 23, 2020
Volumetric breast density estimation on MRI using explainable deep learning regressionBas H M van der Velden, Markus H A Janse, Max A A Ragusi, et al.
BMJ Open|September 20, 2022
Improving prediction of response to neoadjuvant treatment in patients with breast cancer by combining liquid biopsies with multiparametric MRI: protocol of the LIMA study - a multicentre prospective observational cohort studyLiselore M Janssen, Britt B M Suelmann, Sjoerd G Elias, et al.
European Radiology|August 6, 2025
Deep learning-based radiomics does not improve residual cancer burden prediction post-chemotherapy in LIMA breast MRI trialMarkus H A Janse, Liselore M Janssen, Elian J M Wolters-van der Ben, et al.
Frontiers in Cardiovascular Medicine|February 7, 2022
Deep Learning Analysis of Cardiac MRI in Legacy Datasets: Multi-Ethnic Study of AtherosclerosisAvan Suinesiaputra, Charlène A Mauger, Bharath Ambale-Venkatesh, et al.
Journal of Magnetic Resonance Imaging : JMRI|March 17, 2023
Deep Learning-Based Segmentation of Locally Advanced Breast Cancer on MRI in Relation to Residual Cancer Burden: A Multi-Institutional Cohort StudyMarkus H A Janse, Liselore M Janssen, Bas H M van der Velden, et al.
Diagnostics (Basel, Switzerland)|October 28, 2023
Computed Tomography-Based Radiomics Using Tumor and Vessel Features to Assess Resectability in Cancer of the Pancreatic HeadGeke Litjens, Joris P E A Broekmans, Tim Boers, et al.
Bioengineering (Basel, Switzerland)|November 27, 2025
A Community Benchmark for the Automated Segmentation of Pediatric Neuroblastoma on Multi-Modal MRI: Design and Results of the SPPIN Challenge at MICCAI 2023Myrthe A D Buser, Dominique C Simons, Matthijs Fitski, et al.
Pageof 1

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

Sort By:
Pageof 1
Scientific Reports|October 23, 2020
Volumetric breast density estimation on MRI using explainable deep learning regressionBas H M van der Velden, Markus H A Janse, Max A A Ragusi, et al.
BMJ Open|September 20, 2022
Improving prediction of response to neoadjuvant treatment in patients with breast cancer by combining liquid biopsies with multiparametric MRI: protocol of the LIMA study - a multicentre prospective observational cohort studyLiselore M Janssen, Britt B M Suelmann, Sjoerd G Elias, et al.
European Radiology|August 6, 2025
Deep learning-based radiomics does not improve residual cancer burden prediction post-chemotherapy in LIMA breast MRI trialMarkus H A Janse, Liselore M Janssen, Elian J M Wolters-van der Ben, et al.
Frontiers in Cardiovascular Medicine|February 7, 2022
Deep Learning Analysis of Cardiac MRI in Legacy Datasets: Multi-Ethnic Study of AtherosclerosisAvan Suinesiaputra, Charlène A Mauger, Bharath Ambale-Venkatesh, et al.
Journal of Magnetic Resonance Imaging : JMRI|March 17, 2023
Deep Learning-Based Segmentation of Locally Advanced Breast Cancer on MRI in Relation to Residual Cancer Burden: A Multi-Institutional Cohort StudyMarkus H A Janse, Liselore M Janssen, Bas H M van der Velden, et al.
Diagnostics (Basel, Switzerland)|October 28, 2023
Computed Tomography-Based Radiomics Using Tumor and Vessel Features to Assess Resectability in Cancer of the Pancreatic HeadGeke Litjens, Joris P E A Broekmans, Tim Boers, et al.
Bioengineering (Basel, Switzerland)|November 27, 2025
A Community Benchmark for the Automated Segmentation of Pediatric Neuroblastoma on Multi-Modal MRI: Design and Results of the SPPIN Challenge at MICCAI 2023Myrthe A D Buser, Dominique C Simons, Matthijs Fitski, et al.
Pageof 1