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Cancers
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March 6, 2021
Deep Learning Based HPV Status Prediction for Oropharyngeal Cancer Patients
Daniel M Lang, Jan C Peeken, Stephanie E Combs, et al.
Medical Image Analysis
|
July 9, 2026
TomoGraphView: 3D medical image classification with omnidirectional slice representations and graph neural networks
Johannes Kiechle, Stefan M Fischer, Daniel M Lang, et al.
Journal of Medical Imaging (Bellingham, Wash.)
|
June 30, 2025
Simulating dynamic tumor contrast enhancement in breast MRI using conditional generative adversarial networks
Richard Osuala, Smriti Joshi, Apostolia Tsirikoglou, et al.
Medical Image Analysis
|
July 15, 2026
Progressive growing of patch size: Curriculum learning for accelerated and improved medical image segmentation
Stefan M Fischer, Johannes Kiechle, Laura Daza, et al.
Medical Image Analysis
|
January 29, 2026
Fréchet radiomic distance (FRD): A versatile metric for comparing medical imaging datasets
Nicholas Konz, Richard Osuala, Preeti Verma, et al.
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of 1
Search research articles
Search
Showing results (1-10 of 5) with videos related to
Sort By:
Page
of 1
Cancers
|
March 6, 2021
Deep Learning Based HPV Status Prediction for Oropharyngeal Cancer Patients
Daniel M Lang, Jan C Peeken, Stephanie E Combs, et al.
Medical Image Analysis
|
July 9, 2026
TomoGraphView: 3D medical image classification with omnidirectional slice representations and graph neural networks
Johannes Kiechle, Stefan M Fischer, Daniel M Lang, et al.
Journal of Medical Imaging (Bellingham, Wash.)
|
June 30, 2025
Simulating dynamic tumor contrast enhancement in breast MRI using conditional generative adversarial networks
Richard Osuala, Smriti Joshi, Apostolia Tsirikoglou, et al.
Medical Image Analysis
|
July 15, 2026
Progressive growing of patch size: Curriculum learning for accelerated and improved medical image segmentation
Stefan M Fischer, Johannes Kiechle, Laura Daza, et al.
Medical Image Analysis
|
January 29, 2026
Fréchet radiomic distance (FRD): A versatile metric for comparing medical imaging datasets
Nicholas Konz, Richard Osuala, Preeti Verma, et al.
Page
of 1