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Jan Egger

Showing results (111-120 of 125) with videos related to

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Journal of Digital Imaging|January 22, 2022
Studierfenster: an Open Science Cloud-Based Medical Imaging Analysis PlatformJan Egger, Daniel Wild, Maximilian Weber, et al.
Narra J|May 12, 2025
Chinese generative AI models (DeepSeek and Qwen) rival ChatGPT-4 in ophthalmology queries with excellent performance in Arabic and EnglishMalik Sallam, Israa M Alasfoor, Shahad W Khalid, et al.
Data in Brief|November 24, 2021
<i>MUG500+</i>: Database of 500 high-resolution healthy human skulls and 29 craniotomy skulls and implantsJianning Li, Marcell Krall, Florian Trummer, et al.
JCO Clinical Cancer Informatics|August 1, 2023
Histology-Based Prediction of Therapy Response to Neoadjuvant Chemotherapy for Esophageal and Esophagogastric Junction Adenocarcinomas Using Deep LearningFabian Hörst, Saskia Ting, Sven-Thorsten Liffers, et al.
Current Oncology (Toronto, Ont.)|October 28, 2025
Skeletal Muscle Radiation Attenuation at C3 Predicts Survival in Head and Neck CancerFelix Barajas Ordonez, Kunpeng Xie, André Ferreira, et al.
Scientific Reports|October 21, 2015
Interactive Volumetry Of Liver Ablation ZonesJan Egger, Harald Busse, Philipp Brandmaier, et al.
NPJ Digital Medicine|May 15, 2025
Digital twins for the era of personalized surgeryYosra Magdi Mekki, Gijs Luijten, Elisabet Hagert, et al.
Current Oncology Reports|March 26, 2026
OncoVR - Virtual Reality in Oncology for Patient-centered Care: A Systematic Review and Meta-AnalysisMiriam Balzer, Abdelrahman Elsakka, Gijs Luijten, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 7, 2016
RFA-cut: Semi-automatic segmentation of radiofrequency ablation zones with and without needles via optimal s-t-cutsJan Egger, Harald Busse, Philipp Brandmaier, et al.
Clinical Cancer Research : an Official Journal of the American Association for Cancer Research|January 5, 2026
<SPAN style="font-weight: 400;">Deep Learning-derived Sarcopenia Marker Predicts Benefit from Anti-EGFR Therapy in Patients with RAS Wild-Type Metastatic Colorectal Cancer</SPAN>Julius Keyl, René Hosch, Fabian Hörst, et al.
Pageof 13

Showing results (111-120 of 125) with videos related to

Sort By:
Pageof 13
Journal of Digital Imaging|January 22, 2022
Studierfenster: an Open Science Cloud-Based Medical Imaging Analysis PlatformJan Egger, Daniel Wild, Maximilian Weber, et al.
Narra J|May 12, 2025
Chinese generative AI models (DeepSeek and Qwen) rival ChatGPT-4 in ophthalmology queries with excellent performance in Arabic and EnglishMalik Sallam, Israa M Alasfoor, Shahad W Khalid, et al.
Data in Brief|November 24, 2021
<i>MUG500+</i>: Database of 500 high-resolution healthy human skulls and 29 craniotomy skulls and implantsJianning Li, Marcell Krall, Florian Trummer, et al.
JCO Clinical Cancer Informatics|August 1, 2023
Histology-Based Prediction of Therapy Response to Neoadjuvant Chemotherapy for Esophageal and Esophagogastric Junction Adenocarcinomas Using Deep LearningFabian Hörst, Saskia Ting, Sven-Thorsten Liffers, et al.
Current Oncology (Toronto, Ont.)|October 28, 2025
Skeletal Muscle Radiation Attenuation at C3 Predicts Survival in Head and Neck CancerFelix Barajas Ordonez, Kunpeng Xie, André Ferreira, et al.
Scientific Reports|October 21, 2015
Interactive Volumetry Of Liver Ablation ZonesJan Egger, Harald Busse, Philipp Brandmaier, et al.
NPJ Digital Medicine|May 15, 2025
Digital twins for the era of personalized surgeryYosra Magdi Mekki, Gijs Luijten, Elisabet Hagert, et al.
Current Oncology Reports|March 26, 2026
OncoVR - Virtual Reality in Oncology for Patient-centered Care: A Systematic Review and Meta-AnalysisMiriam Balzer, Abdelrahman Elsakka, Gijs Luijten, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 7, 2016
RFA-cut: Semi-automatic segmentation of radiofrequency ablation zones with and without needles via optimal s-t-cutsJan Egger, Harald Busse, Philipp Brandmaier, et al.
Clinical Cancer Research : an Official Journal of the American Association for Cancer Research|January 5, 2026
<SPAN style="font-weight: 400;">Deep Learning-derived Sarcopenia Marker Predicts Benefit from Anti-EGFR Therapy in Patients with RAS Wild-Type Metastatic Colorectal Cancer</SPAN>Julius Keyl, René Hosch, Fabian Hörst, et al.
Pageof 13