Prof. Predrag R. Bakic
at Lund Univ
SPIE Involvement:
Author | Instructor
Publications (96)

Proceedings Article | 1 April 2024 Presentation + Paper
Hanna Tomic, Zhikai Yang, Anders Tingberg, Sophia Zackrisson, Rodrigo Moreno, Örjan Smedby, Magnus Dustler, Predrag Bakic
Proceedings Volume 12925, 129251P (2024)
KEYWORDS: Image segmentation, Breast, Digital breast tomosynthesis, Tumors, Tissues, Diagnostics, Medical image reconstruction, Computer simulations

Proceedings Article | 7 April 2023 Poster + Paper
Proceedings Volume 12463, 1246344 (2023)
KEYWORDS: Breast cancer, Interpolation, Digital breast tomosynthesis, Breast, Sensors, Image sensors, Visualization, Neural networks, Image quality

Proceedings Article | 7 April 2023 Poster + Paper
Anna Bjerkén, Hanna Tomic, Christian Bernhardsson, Sophia Zackrisson, Anders Tingberg, Magnus Dustler, Predrag Bakic
Proceedings Volume 12463, 124634D (2023)
KEYWORDS: Digital breast tomosynthesis, Sensors, Breast, Radiography, X-rays, Mammography, Dosimetry, Plastics, Luminescence, Tomosynthesis

SPIE Journal Paper | 8 February 2023 Open Access
Victor Dahlblom, Magnus Dustler, Anetta Bolejko, Predrag R. Bakic, Henrik Granberg, Kristin Johnson, Daniel Förnvik, Kristina Lång, Anders Tingberg, Sophia Zackrisson
JMI, Vol. 10, Issue 06, 061402, (February 2023)
KEYWORDS: Databases, Mammography, Cancer, Breast cancer, Diagnostics, Breast, Breast imaging, Digital breast tomosynthesis, Artificial intelligence, Tumors

Proceedings Article | 13 July 2022 Paper
Rebecca Axelsson, Victor Dahlblom, Anders Tingberg, Sophia Zackrisson, Magnus Dustler, Predrag Bakic
Proceedings Volume 12286, 1228607 (2022)
KEYWORDS: Breast, Digital breast tomosynthesis, Radiology, Diagnostics, Cancer, Sensors, Medicine, Breast cancer, Pathology, Biopsy

Showing 5 of 96 publications
Course Instructor
SC1239: Virtual Clinical Trials: An In-depth Tutorial
Clinical trials are the essential mechanism through which new medical imaging devices and methods are tested. However, with the growing number of such medical solution, clinical trials are proven to be too slow and too costly. Computational resources and modeling technologies have brought us to a place that we can consider computational alternatives to clinical trials: virtual trials where the trial take place in silico. This course provides an essential introduction to virtual clinical trials, focused primarily on imaging. Topics covered include models of human anatomy and physiology, models of imaging processes primarily CT and breast imaging, models of interpretation processes, standardization of the VCT pipeline, and regulatory prospects of VCT. The course will include applications of VCT in designing and affirming new medical imaging equipment and methods, the use VCT data for prototyping and/or complementing the conduct of real clinical trials, and near-hands-on experience in conducting a few example mini-trials as a part of the class.
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