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Lukas Hirsch

Showing results (1-10 of 8) with videos related to

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Journal of Medical Imaging (Bellingham, Wash.)|June 23, 2021
Segmentation of MRI head anatomy using deep volumetric networks and multiple spatial priorsLukas Hirsch, Yu Huang, Lucas C Parra
Radiology. Artificial Intelligence|June 25, 2025
High-Performance Open-Source AI for Breast Cancer Detection and Localization in MRILukas Hirsch, Elizabeth J Sutton, Yu Huang, et al.
Nature Communications|May 22, 2023
Semantic novelty modulates neural responses to visual change across the human brainMaximilian Nentwich, Marcin Leszczynski, Brian E Russ, et al.
Arxiv|December 11, 2023
[WITHDRAWN] Predicting breast cancer with AI for individual risk-adjusted MRI screening and early detectionLukas Hirsch, Yu Huang, Hernan A Makse, et al.
Academic Radiology|October 31, 2024
Early Detection of Breast Cancer in MRI Using AILukas Hirsch, Yu Huang, Hernan A Makse, et al.
Scientific Reports|March 11, 2020
Combined behavioral and electrophysiological evidence for a direct cortical effect of prefrontal tDCS on disorders of consciousnessBertrand Hermann, Federico Raimondo, Lukas Hirsch, et al.
Journal of Imaging Informatics in Medicine|September 25, 2024
Cross-site Validation of AI Segmentation and Harmonization in Breast MRIYu Huang, Nicholas J Leotta, Lukas Hirsch, et al.
Radiology. Artificial Intelligence|February 11, 2022
Radiologist-Level Performance by Using Deep Learning for Segmentation of Breast Cancers on MRI ScansLukas Hirsch, Yu Huang, Shaojun Luo, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
Journal of Medical Imaging (Bellingham, Wash.)|June 23, 2021
Segmentation of MRI head anatomy using deep volumetric networks and multiple spatial priorsLukas Hirsch, Yu Huang, Lucas C Parra
Radiology. Artificial Intelligence|June 25, 2025
High-Performance Open-Source AI for Breast Cancer Detection and Localization in MRILukas Hirsch, Elizabeth J Sutton, Yu Huang, et al.
Nature Communications|May 22, 2023
Semantic novelty modulates neural responses to visual change across the human brainMaximilian Nentwich, Marcin Leszczynski, Brian E Russ, et al.
Arxiv|December 11, 2023
[WITHDRAWN] Predicting breast cancer with AI for individual risk-adjusted MRI screening and early detectionLukas Hirsch, Yu Huang, Hernan A Makse, et al.
Academic Radiology|October 31, 2024
Early Detection of Breast Cancer in MRI Using AILukas Hirsch, Yu Huang, Hernan A Makse, et al.
Scientific Reports|March 11, 2020
Combined behavioral and electrophysiological evidence for a direct cortical effect of prefrontal tDCS on disorders of consciousnessBertrand Hermann, Federico Raimondo, Lukas Hirsch, et al.
Journal of Imaging Informatics in Medicine|September 25, 2024
Cross-site Validation of AI Segmentation and Harmonization in Breast MRIYu Huang, Nicholas J Leotta, Lukas Hirsch, et al.
Radiology. Artificial Intelligence|February 11, 2022
Radiologist-Level Performance by Using Deep Learning for Segmentation of Breast Cancers on MRI ScansLukas Hirsch, Yu Huang, Shaojun Luo, et al.
Pageof 1