Balazs Acs

Karolinska Institutet

Sweden

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Articles (18)

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2025

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2025

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2022

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2022

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2021

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2021

Collaborators (18)

Mauro Giuseppe MASTROPASQUA

Professore Associato

Università degli Studi di Bari Aldo Moro Scuola di Medicina

ITALY

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Attila Marcell Szasz

Semmelweis University

HUNGARY

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Fredrik Wärnberg

Professor breast surgery

Karolinska University Hospital

SWEDEN

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Signe Borgquist

Aarhus University

DENMARK

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Michail Ignatiadis

BELGIUM

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Georgios C. Manikis

Karolinska Institutet

SWEDEN

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Anna Ehinger

Lund University

SWEDEN

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Sara Margolin

Karolinska Institutet

SWEDEN

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Ioannis Zerdes

Karolinska University Hospital

SWEDEN

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Kimmo Kartasalo

Karolinska Institutet

SWEDEN

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Maria Ekholm

MD, PhD, Associate professor

Linköping University

SWEDEN

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Sunil Badve

Vice Chair/ Professor

Emory University

UNITED STATES

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Malin Sund

University of Helsinki

FINLAND

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Ceren Boyaci

Karolinska University Hospital

SWEDEN

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Johan Hartman

Professor at Karolinska Institutet

Karolinska Institutet

SWEDEN

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Theodoros Foukakis

Karolinska Institutet

SWEDEN

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Irma Fredriksson

Karolinska University Hospital

SWEDEN

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Magdolna Dank

Semmelweis University

HUNGARY

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Balazs Acs

Research Interests

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Articles (18)

Machine learning-based spatial characterization of tumor-immune microenvironment in the EORTC 10994/BIG 1-00 early breast cancer trial

Prevalence and prognosis of patients with breast cancer eligible for adjuvant abemaciclib or ribociclib: a nationwide population-based study

Histological Grade Has Clinical Validity in Neoadjuvant-Treated Breast Cancer: A Multicenter Study

Navigating discrepancies: The assessment of residual lymphovascular invasion in breast carcinoma after neoadjuvant treatment

Debating the pros and cons of computational pathology at the European Congress of Pathology (ECP) 2024

Immune cell infiltrate in ductal carcinoma in situ and the risk of dying from breast cancer: case–control study

A population-based study on trajectories of HER2 status during neoadjuvant chemotherapy for early breast cancer and metastatic progression

Ensemble-based deep learning improves detection of invasive breast cancer in routine histopathology images

Survival Outcomes, Digital TILs, and On-treatment PET/CT During Neoadjuvant Therapy for HER2-positive Breast Cancer: Results from the Randomized PREDIX HER2 Trial

Systematically higher Ki67 scores on core biopsy samples compared to corresponding resection specimen in breast cancer: a multi-operator and multi-institutional study

External Quality Assessment 2.0: The Importance of a Standardized Implementation of TILs for Daily and Trial Practices

Real World Evaluation of the Prosigna/PAM50 Test in a Node-Negative Postmenopausal Swedish Population: A Multicenter Study

Deconstructing Immune Cell Infiltration in Human Colorectal Cancer: A Systematic Spatiotemporal Evaluation

Improved breast cancer histological grading using deep learning

Objective assessment of tumor infiltrating lymphocytes as a prognostic marker in melanoma using machine learning algorithms

Independent Clinical Validation of the Automated Ki67 Scoring Guideline from the International Ki67 in Breast Cancer Working Group

Predicting Molecular Phenotypes from Histopathology Images: A Transcriptome-Wide Expression–Morphology Analysis in Breast Cancer

In Situ Hybridization of PRRSV-1 Combined with Digital Image Analysis in Lung Tissues of Pigs Challenged with PRRSV-1

Collaborators (18)

Mauro Giuseppe MASTROPASQUA

Attila Marcell Szasz

Fredrik Wärnberg

Signe Borgquist

Michail Ignatiadis

Georgios C. Manikis

Anna Ehinger

Sara Margolin

Ioannis Zerdes

Kimmo Kartasalo

Maria Ekholm

Sunil Badve

Malin Sund

Ceren Boyaci

Johan Hartman

Theodoros Foukakis

Irma Fredriksson

Magdolna Dank

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