Publications by authors named "Balazs Acs"

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Prevalence and prognosis of patients with breast cancer eligible for adjuvant abemaciclib or ribociclib: a nationwide population-based study.
Xingrong Liu, Behnaz Binicy, Balazs Acs, Louise Eriksson Bergman, Sibylle Loibl

Lancet Reg Health Eur· December 2025

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Histological Grade Has Clinical Validity in Neoadjuvant-Treated Breast Cancer: A Multicenter Study.
Sanna Steen, Constance Boissin, Mattias Rantalainen, Balazs Acs, Johan Hartman

Mod Pathol· November 2025

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Pathological response to pembrolizumab-based neoadjuvant therapy in ER-low vs. ER-zero breast cancer: a Swedish population-based cohort study.
Sanna Steen, Emelie Karlsson, Ida Björnheden, Gunilla Rask, Viktoria Thurfjell, Balazs Acs

Breast Cancer Res· November 2025

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Global scoring method of Ki67 immunohistochemistry in breast cancer demonstrates improved concordance using real-world multi-institutional data.
Ceren Boyaci, Wenwen Sun, Johan Hartman, Balázs Ács

Breast Cancer Res· September 2025

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Computational pathology annotation enhances the resolution and interpretation of breast cancer spatial transcriptomics data.
Tianyi Li, Qiao Yang, Balazs Acs, Emmanouil G Sifakis, Hosein Toosi

NPJ Precis Oncol· September 2025

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Optimization of guidelines for Risk Of Recurrence/Prosigna testing using a machine learning model: a Swedish multicenter study.
Una Kjällquist, Nikos Tsiknakis, Balazs Acs, Sara Margolin, Luisa Edman Kessler

Breast· August 2025

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Navigating discrepancies: The assessment of residual lymphovascular invasion in breast carcinoma after neoadjuvant treatment.
Anikó Kovács, Åsa Rundgren-Sellei, Gunilla Rask, Annette Bauer, Anna Bodén, Balazs Acs

Breast· August 2025

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Pathologist-Read vs AI-Driven Assessment of Tumor-Infiltrating Lymphocytes in Melanoma.
Thazin N Aung, Matthew Liu, David Su, Saba Shafi, Ceren Boyaci, Reka Mohacsi, Balazs Acs

JAMA Netw Open· July 2025

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Machine learning-based spatial characterization of tumor-immune microenvironment in the EORTC 10994/BIG 1-00 early breast cancer trial.
Ioannis Zerdes, Alexios Matikas, Artur Mezheyeuski, Georgios Manikis, Balazs Acs

NPJ Breast Cancer· March 2025

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Debating the pros and cons of computational pathology at the European Congress of Pathology (ECP) 2024.
Balazs Acs, Falko Fend, Catherine Guettier, Vincenzo L'Imperio, Diana Montezuma

Virchows Arch· March 2025

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A bottom-up initiated digital external quality assessment scheme for the state-of-the-art pathology in Sweden: reduced variability between pathology departments.
Gunilla Rask, Helena Olofsson, Annette Bauer, Anna Bodén, Johannes van Brakel, Balazs Acs

Virchows Arch· February 2025

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Prioritizing cases from a multi-institutional cohort for a dataset of pathologist annotations.
Victor Garcia, Emma Gardecki, Stephanie Jou, Xiaoxian Li, Kenneth R Shroyer, Balazs Acs

J Pathol Inform· January 2025

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The analytical and clinical validity of AI algorithms to score TILs in TNBC: can we use different machine learning models interchangeably?
Joan Martínez Vidal, Nikos Tsiknakis, Johan Staaf, Ana Bosch, Anna Ehinger, Balazs Acs

EClinicalMedicine· December 2024

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Unveiling the Power of Model-Agnostic Multiscale Analysis for Enhancing Artificial Intelligence Models in Breast Cancer Histopathology Images.
Nikos Tsiknakis, Georgios Manikis, Evangelos Tzoras, Dimitrios Salgkamis, Joan Martinez Vidal, Balazs Acs

IEEE J Biomed Health Inform· September 2024

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A population-based study on trajectories of HER2 status during neoadjuvant chemotherapy for early breast cancer and metastatic progression.
Caroline Boman, Xingrong Liu, Louise Eriksson Bergman, Wenwen Sun, Christian Tranchell, Balazs Acs

Br J Cancer· September 2024

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Clinical evaluation of deep learning-based risk profiling in breast cancer histopathology and comparison to an established multigene assay.
Yinxi Wang, Wenwen Sun, Emelie Karlsson, Sandy Kang Lövgren, Balázs Ács

Breast Cancer Res Treat· July 2024

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Ensemble-based deep learning improves detection of invasive breast cancer in routine histopathology images.
Leslie Solorzano, Stephanie Robertson, Balazs Acs, Johan Hartman, Mattias Rantalainen

Heliyon· June 2024

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Training pathologists to assess stromal tumour-infiltrating lymphocytes in breast cancer synergises efforts in clinical care and scientific research.
Amy Ly, Victor Garcia, Kim R M Blenman, Anna Ehinger, Katherine Elfer, Balazs Acs

Histopathology· May 2024

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Real-world overall survival and characteristics of patients with ER-zero and ER-low HER2-negative breast cancer treated as triple-negative breast cancer: a Swedish population-based cohort study.
Balazs Acs, Johan Hartman, Demet Sönmez, Henrik Lindman, Anna L V Johansson

Lancet Reg Health Eur· May 2024

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Image-based multiplex immune profiling of cancer tissues: translational implications. A report of the International Immuno-oncology Biomarker Working Group on Breast Cancer.
Chowdhury Arif Jahangir, David B Page, Glenn Broeckx, Claudia A Gonzalez, Caoimbhe Burke, Balazs Acs

J Pathol· March 2024

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Comparing deep learning and pathologist quantification of cell-level PD-L1 expression in non-small cell lung cancer whole-slide images.
Leander van Eekelen, Joey Spronck, Monika Looijen-Salamon, Shoko Vos, Enrico Munari, Balazs Acs

Sci Rep· March 2024

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Automated scoring of tumor-infiltrating lymphocytes informs risk of death from thin melanoma: A nested case-case study.
Samuel X Tan, Thazin N Aung, Magdalena Claeson, Balazs Acs, Chenhao Zhou

J Am Acad Dermatol· January 2024

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Immune cell infiltrate in ductal carcinoma in situ and the risk of dying from breast cancer: case-control study.
Gunilla Rask, Charlotta Wadsten, Balazs Acs, Johan Hartman, Irma Fredriksson

Br J Surg· January 2024

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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 Cancer.
Jeppe Thagaard, Glenn Broeckx, David B Page, Chowdhury Arif Jahangir, Sara Verbandt, Balazs Acs

J Pathol· August 2023

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Multiresolution Self-Supervised Feature Integration via Attention Multiple Instance Learning for Histopathology Analysis.
Nikos Tsiknakis, Evangelos Tzoras, Ioannis Zerdes, Georgios C Manikis, Balazs Acs

Annu Int Conf IEEE Eng Med Biol Soc· July 2023

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