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Balazs Acs

Showing results (31-40 of 52) with videos related to

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Virchows Archiv : an International Journal of Pathology|February 28, 2025
A bottom-up initiated digital external quality assessment scheme for the state-of-the-art pathology in Sweden: reduced variability between pathology departmentsGunilla Rask, Helena Olofsson, Annette Bauer, et al.
NPJ Breast Cancer|March 7, 2025
Machine learning-based spatial characterization of tumor-immune microenvironment in the EORTC 10994/BIG 1-00 early breast cancer trialIoannis Zerdes, Alexios Matikas, Artur Mezheyeuski, et al.
NPJ Breast Cancer|November 20, 2021
Interplay between copy number alterations and immune profiles in the early breast cancer Scandinavian Breast Group 2004-1 randomized phase II trial: results from a feasibility studyIoannis Zerdes, Michele Simonetti, Alexios Matikas, et al.
NPJ Precision Oncology|September 9, 2025
Computational pathology annotation enhances the resolution and interpretation of breast cancer spatial transcriptomics dataTianyi Li, Qiao Yang, Balazs Acs, et al.
Cancers|August 12, 2022
External Quality Assessment 2.0: The Importance of a Standardized Implementation of TILs for Daily and Trial PracticesInne Nauwelaers, Nele Laudus, Dieter Peeters, et al.
Clinical Cancer Research : an Official Journal of the American Association for Cancer Research|November 30, 2022
Survival Outcomes, Digital TILs, and On-treatment PET/CT During Neoadjuvant Therapy for HER2-positive Breast Cancer: Results from the Randomized PREDIX HER2 TrialAlexios Matikas, Hemming Johansson, Per Grybäck, et al.
IEEE Journal of Biomedical and Health Informatics|April 20, 2026
A tissue and cell-level annotated H&E and PD-L1 histopathology image dataset in non-small cell lung cancerJoey Spronck, Leander van Eekelen, Dominique van Midden, et al.
Ebiomedicine|July 10, 2022
Objective assessment of tumor infiltrating lymphocytes as a prognostic marker in melanoma using machine learning algorithmsThazin Nwe Aung, Saba Shafi, James S Wilmott, et al.
Histopathology|March 3, 2024
Training pathologists to assess stromal tumour-infiltrating lymphocytes in breast cancer synergises efforts in clinical care and scientific researchAmy Ly, Victor Garcia, Kim R M Blenman, et al.
Scientific Reports|March 27, 2024
Comparing deep learning and pathologist quantification of cell-level PD-L1 expression in non-small cell lung cancer whole-slide imagesLeander van Eekelen, Joey Spronck, Monika Looijen-Salamon, et al.
Pageof 6

Showing results (31-40 of 52) with videos related to

Sort By:
Pageof 6
Virchows Archiv : an International Journal of Pathology|February 28, 2025
A bottom-up initiated digital external quality assessment scheme for the state-of-the-art pathology in Sweden: reduced variability between pathology departmentsGunilla Rask, Helena Olofsson, Annette Bauer, et al.
NPJ Breast Cancer|March 7, 2025
Machine learning-based spatial characterization of tumor-immune microenvironment in the EORTC 10994/BIG 1-00 early breast cancer trialIoannis Zerdes, Alexios Matikas, Artur Mezheyeuski, et al.
NPJ Breast Cancer|November 20, 2021
Interplay between copy number alterations and immune profiles in the early breast cancer Scandinavian Breast Group 2004-1 randomized phase II trial: results from a feasibility studyIoannis Zerdes, Michele Simonetti, Alexios Matikas, et al.
NPJ Precision Oncology|September 9, 2025
Computational pathology annotation enhances the resolution and interpretation of breast cancer spatial transcriptomics dataTianyi Li, Qiao Yang, Balazs Acs, et al.
Cancers|August 12, 2022
External Quality Assessment 2.0: The Importance of a Standardized Implementation of TILs for Daily and Trial PracticesInne Nauwelaers, Nele Laudus, Dieter Peeters, et al.
Clinical Cancer Research : an Official Journal of the American Association for Cancer Research|November 30, 2022
Survival Outcomes, Digital TILs, and On-treatment PET/CT During Neoadjuvant Therapy for HER2-positive Breast Cancer: Results from the Randomized PREDIX HER2 TrialAlexios Matikas, Hemming Johansson, Per Grybäck, et al.
IEEE Journal of Biomedical and Health Informatics|April 20, 2026
A tissue and cell-level annotated H&E and PD-L1 histopathology image dataset in non-small cell lung cancerJoey Spronck, Leander van Eekelen, Dominique van Midden, et al.
Ebiomedicine|July 10, 2022
Objective assessment of tumor infiltrating lymphocytes as a prognostic marker in melanoma using machine learning algorithmsThazin Nwe Aung, Saba Shafi, James S Wilmott, et al.
Histopathology|March 3, 2024
Training pathologists to assess stromal tumour-infiltrating lymphocytes in breast cancer synergises efforts in clinical care and scientific researchAmy Ly, Victor Garcia, Kim R M Blenman, et al.
Scientific Reports|March 27, 2024
Comparing deep learning and pathologist quantification of cell-level PD-L1 expression in non-small cell lung cancer whole-slide imagesLeander van Eekelen, Joey Spronck, Monika Looijen-Salamon, et al.
Pageof 6