Author

Bartosz Machura

Observed names: B. Machura, Machura, Bartosz

Observed institution: AGH University of Krakow

ORCID: 0000-0001-7953-7684

Observed ORCID: 0000-0001-7953-7684

OpenAlex ID: A5084459407

Deep learning automates bidimensional and volumetric tumor burden measurement from MRI in pre- and post-operative glioblastoma patients

2023 · Jakub Nalepa, Krzysztof Kotowski, et al. · Computers in Biology and Medicine · 39

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Deep learning ensembles for detecting brain metastases in longitudinal multi-modal MRI studies

2024 · Bartosz Machura, Damian Kucharski, et al. · Computerized Medical Imaging and Graphics · 22

Detecting liver cirrhosis in computed tomography scans using clinically-inspired and radiomic features

2022 · Krzysztof Kotowski, Damian Kucharski, et al. · Computers in Biology and Medicine · 18

Towards fair decentralized benchmarking of healthcare AI algorithms with the Federated Tumor Segmentation (FeTS) challenge

2025 · Maximilian Zenk, Ujjwal Baid, et al. · Nature Communications · 16

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Ulcerative Colitis Severity Classification and Localized Extent (UC-SCALE): An Artificial Intelligence Scoring System for a Spatial Assessment of Disease Severity in Ulcerative Colitis

2024 · Benjamin Gutierrez-Becker, Stefan Fraessle, et al. · Journal of Crohn s and Colitis · 16

Coupling nnU-Nets with Expert Knowledge for Accurate Brain Tumor Segmentation from MRI

2022 · Krzysztof Kotowski, Szymon Adamski, et al. · Lecture notes in computer science · 15

Metrological Analysis Of Microsoft Kinect In The Context Of Object Localization

2015 · Andrzej Skalski, Bartosz Machura · Metrology and Measurement Systems · 9

Segmenting Brain Tumors from MRI Using Cascaded 3D U-Nets

2021 · Krzysztof Kotowski, Szymon Adamski, et al. · Lecture notes in computer science · 8

Federated Evaluation of nnU-Nets Enhanced with Domain Knowledge for Brain Tumor Segmentation

2023 · Krzysztof Kotowski, Szymon Adamski, et al. · Lecture notes in computer science · 3

Robustifying Automatic Assessment of Brain Tumor Progression from MRI

2023 · Krzysztof Kotowski, Bartosz Machura, et al. · Lecture notes in computer science · 2

Comparing an AI test to a 21-gene assay for premenopausal node-positive HR+/HER2-breast cancer

2026 · Jailan Elayoubi, Cerise Tang, et al. · medRxiv · 1

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Infusing Domain Knowledge into nnU-Nets for Segmenting Brain Tumors in MRI

2023 · Krzysztof Kotowski, Szymon Adamski, et al. · Lecture notes in computer science · 1

AI-based prognosis and chemotherapy benefit in node-positive, HR+ breast cancer: a blinded external validation on SWOG-8814 trial

2026 · Alastair M. Thompson, Allison Meisner, et al. · medRxiv

Multimodal Artificial Intelligence Predicts Pathological Response and Prognosis in HER2-Positive Early Breast Cancer Treated with Chemotherapy De-escalation Strategies: Analyses from PHERGain and PHERGain-2 Trials

2026 · Manuel Ruiz Borrego, Javier Cortés, et al. · medRxiv

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Transcriptome-informed multi-modal AI for predicting neoadjuvant therapy response from breast cancer biopsies

2026 · Park, Jungkyu, Biswas, Dhruva, et al. · arXiv (Cornell University)

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An AI Model Identifies Chemotherapy Benefit in Node-Negative HR+/HER2-Breast Cancer Patients from TAILORx, a Phase 3 Randomized Clinical Trial

2026 · Nancy Chan, Cerise Tang, et al. · medRxiv

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Causal multi-modal AI for personalized chemosensitivity prediction

2026 · Biswas, Dhruva, Berrevoets, Jeroen, et al. · arXiv (Cornell University)

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Refining Stratification in Premenopausal Node-Positive HR+/HER2− Breast Cancer With a Novel AI-Based Test

2026 · Jailan Elayoubi, Cerise Tang, et al. · Clinical Breast Cancer

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Abstract PS3-04-04: Ai predicts response to neoadjuvant therapy in breast cancer across diverse cohorts

2026 · J. Park, F. Howard, et al. · Clinical Cancer Research

Abstract PS3-06-07: Aligning AI Recurrence Predictions with Real-world Recurrence Rates Through Survival Calibration

2026 · K. G. Zeng, J. Witowski, et al. · Clinical Cancer Research

Automated Hepatocellular Carcinoma Analysis in Multi-phase CT with Deep Learning

2024 · Krzysztof Kotowski, Bartosz Machura, et al. · Lecture notes in computer science

Works count: 21

Citation count: 150

H-index: 8

I10-index: 6