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Søren Hauberg

Showing results (1-10 of 6) with videos related to

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Information Geometry|May 20, 2026
GEORCE: a fast new control algorithm for computing geodesicsFrederik Möbius Rygaard, Søren Hauberg
Nature Communications|April 9, 2022
Learning meaningful representations of protein sequencesNicki Skafte Detlefsen, Søren Hauberg, Wouter Boomsma
Neuroimage|June 17, 2016
Data-driven forward model inference for EEG brain imagingSofie Therese Hansen, Søren Hauberg, Lars Kai Hansen
Current Opinion in Structural Biology|February 21, 2025
Foundation models of protein sequences: A brief overviewAndreas Bjerregaard, Peter Mørch Groth, Søren Hauberg, et al.
Cancers|July 2, 2021
Automated Quantification of sTIL Density with H&E-Based Digital Image Analysis Has Prognostic Potential in Triple-Negative Breast CancersJeppe Thagaard, Elisabeth Specht Stovgaard, Line Grove Vognsen, et al.
The Journal of Pathology|August 23, 2023
Pitfalls in machine learning-based assessment of tumor-infiltrating lymphocytes in breast cancer: A report of the International Immuno-Oncology Biomarker Working Group on Breast CancerJeppe Thagaard, Glenn Broeckx, David B Page, et al.
Pageof 1

Showing results (1-10 of 6) with videos related to

Sort By:
Pageof 1
Information Geometry|May 20, 2026
GEORCE: a fast new control algorithm for computing geodesicsFrederik Möbius Rygaard, Søren Hauberg
Nature Communications|April 9, 2022
Learning meaningful representations of protein sequencesNicki Skafte Detlefsen, Søren Hauberg, Wouter Boomsma
Neuroimage|June 17, 2016
Data-driven forward model inference for EEG brain imagingSofie Therese Hansen, Søren Hauberg, Lars Kai Hansen
Current Opinion in Structural Biology|February 21, 2025
Foundation models of protein sequences: A brief overviewAndreas Bjerregaard, Peter Mørch Groth, Søren Hauberg, et al.
Cancers|July 2, 2021
Automated Quantification of sTIL Density with H&E-Based Digital Image Analysis Has Prognostic Potential in Triple-Negative Breast CancersJeppe Thagaard, Elisabeth Specht Stovgaard, Line Grove Vognsen, et al.
The Journal of Pathology|August 23, 2023
Pitfalls in machine learning-based assessment of tumor-infiltrating lymphocytes in breast cancer: A report of the International Immuno-Oncology Biomarker Working Group on Breast CancerJeppe Thagaard, Glenn Broeckx, David B Page, et al.
Pageof 1