Dr. Maryellen L. Giger
A. N. Pritzker Professor Radiology/Medical Physics at Univ of Chicago
SPIE Involvement:
Membership & Communities Committee | Board of Directors | Conference Program Committee | Conference Chair | Editorial Board Member: Journal of Medical Imaging | Author | Instructor | Startup Challenge Judge
Area of Expertise:
computer-aided diagnosis , computerized lesion detection , digital medical imaging , quantitative image analysis , reader/observer ROC studies , digital image analysis
Publications (216)

Proceedings Article | 3 April 2024 Poster
Proceedings Volume 12927, 129272G (2024) https://doi.org/10.1117/12.3006493
KEYWORDS: Magnetic resonance imaging, Evolutionary algorithms, Cognitive modeling, Binary data, Traumatic brain injury, Image segmentation, Dementia, Deep learning, Brain, Artificial intelligence

SPIE Journal Paper | 3 April 2024 Open Access
JMI, Vol. 11, Issue 02, 024504, (April 2024) https://doi.org/10.1117/12.10.1117/1.JMI.11.2.024504
KEYWORDS: Medical imaging, Decision trees, Image segmentation, Algorithm development, Statistical analysis, Diseases and disorders, Binary data, Evolutionary algorithms, COVID 19, Biological research

Proceedings Article | 3 April 2024 Paper
Madeleine Durkee, Junting Ai, Gabriel Casella, Thao Cao, Michael Andrade, Marcus Clark, Maryellen Giger
Proceedings Volume 12933, 1293313 (2024) https://doi.org/10.1117/12.3008522
KEYWORDS: Biopsy, Kidney, Multiplexing, Tissues, Biological research, Pathology, Rheumatology, Diseases and disorders

Proceedings Article | 3 April 2024 Poster + Paper
Arden Frantzen, Heather Whitney, Hui Li, Karen Drukker, Alexandra Edwards, John Papaioannou, Maryellen Giger
Proceedings Volume 12927, 1292739 (2024) https://doi.org/10.1117/12.3008800
KEYWORDS: Tumors, Feature extraction, Radiomics, Magnetic resonance imaging, Image segmentation, Statistical analysis

Proceedings Article | 3 April 2024 Presentation + Paper
Proceedings Volume 12927, 1292705 (2024) https://doi.org/10.1117/12.3008273
KEYWORDS: Image segmentation, Ultrasonography, Ovarian cancer, Artificial intelligence, Tumors, Cancer, Radiomics