Dr. Andrej Studen Profile

Dr. Andrej Studen

at Jozef Stefan Institut

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Author

Publications (6)

Proceedings Article | 29 May 2024 Paper

Incorporating longitudinal screening data into image-based breast cancer risk assessment

T. Wagner, Z. Klanecek, Y. Wang, L. Cockmartin, N. Marshall, A. Studen, R. Jeraj, H. Bosmans

Proceedings Volume 13174, 131740T (2024) https://doi.org/10.1117/12.3026995

KEYWORDS: Data modeling, Breast cancer, Education and training, Risk assessment, Performance modeling, Cancer, Cancer detection, Mammography, Solid modeling

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Proceedings Article | 29 May 2024 Paper

Longitudinal analysis of micro-calcifications features for breast cancer risk prediction with the Mirai model

Y. Wang, Z. Klanecek, T. Wagner, L. Cockmartin, N. Marshall, A. Studen, R. Jeraj, H. Bosmans

Proceedings Volume 13174, 131740P (2024) https://doi.org/10.1117/12.3027024

KEYWORDS: Mammography, Breast, Breast cancer, Tumor growth modeling, Feature extraction, Cancer detection, Computer aided detection, Risk assessment, Nipple, Artificial intelligence

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Proceedings Article | 29 May 2024 Paper

Longitudinal interpretability of deep learning-based breast cancer risk prediction model: comparison of different attribution methods

Zan Klanecek, Yao-Kuan Wang, Tobias Wagner, Lesley Cockmartin, Nicholas Marshall, Brayden Schott, Ali Deatsch, Andrej Studen, Kristijana Hertl, Katja Jarm, Mateja Krajc, Miloš Vrhovec, Hilde Bosmans, Robert Jeraj

Proceedings Volume 13174, 131741W (2024) https://doi.org/10.1117/12.3025858

KEYWORDS: Cancer, Breast, Breast cancer, Mammography, Cancer detection, Deep learning, Medical physics, Visualization, Risk assessment, Digital mammography

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Proceedings Article | 3 April 2024 Poster + Paper

Transfer learning from breast cancer detection models for image-based breast cancer risk prediction

T. Wagner, Z. Klanecek, Y. Wang, L. Cockmartin, N. Marshall, A. Studen, R. Jeraj, H. Bosmans

Proceedings Volume 12927, 1292725 (2024) https://doi.org/10.1117/12.3006670

KEYWORDS: Data modeling, Tumor growth modeling, Breast cancer, Solid modeling, Education and training, Cancer detection, Performance modeling, Cancer, Risk assessment, Computer aided detection

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SPIE Journal Paper | 13 May 2022

System resolution versus image uncertainty for positron emission tomography scanners

Andrej Studen, Neal Clinthorne

JMI, Vol. 9, Issue 03, 033501, (May 2022) https://doi.org/10.1117/12.10.1117/1.JMI.9.3.033501

KEYWORDS: Signal to noise ratio, Sensors, Positron emission tomography, Spatial resolution, Optical resolution, Silicon, Scanners, Image resolution, Imaging systems, Error analysis

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Proceedings Article | 4 April 2022 Poster + Paper

A study on the impact of parameter settings on the biological reproducibility and sensitivity of extracted radiomic features from full field digital mammography images

Z. Klanecek, T. Wagner, Y. K. Wang, L. Cockmartin, K. Hertl, K. Jarm, M. Krajc, N. W. Marshall, A. Studen, M. Vrhovec, H. Bosmans, R. Jeraj

Proceedings Volume 12031, 120311S (2022) https://doi.org/10.1117/12.2611056

KEYWORDS: Breast, Feature extraction, Breast cancer, Biological research, Mammography, Digital mammography, Reliability, X-ray detectors, Oncology

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Showing 5 of 6 publications

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