Prof. Bram van Ginneken
at Radboud Univ Medical Ctr
SPIE Involvement:
Conference Program Committee | Conference Chair | Author | Editor | Instructor
Publications (61)

Proceedings Article | 13 March 2019
Proc. SPIE. 10950, Medical Imaging 2019: Computer-Aided Diagnosis
KEYWORDS: Data modeling, Error analysis, Monte Carlo methods, Neural networks, Image classification, Statistical modeling, Chest imaging, Emphysema

Proceedings Article | 2 March 2018
Proc. SPIE. 10574, Medical Imaging 2018: Image Processing
KEYWORDS: Image processing algorithms and systems, Magnetic resonance imaging, Image segmentation, Medical imaging, Neural networks, Neuroimaging, Network architectures, Dementia, Brain diseases, Brain

Proceedings Article | 2 March 2018
Proc. SPIE. 10574, Medical Imaging 2018: Image Processing
KEYWORDS: Convolutional neural networks, Image segmentation, Image processing, Image analysis, Machine learning, Computed tomography, Spine, Network architectures, 3D image processing

SPIE Journal Paper | 14 December 2017
JMI Vol. 4 Issue 04
KEYWORDS: Binary data, Breast, Tissues, Image classification, Convolutional neural networks, Classification systems, Cancer, Diagnostics, Breast cancer, RGB color model

Proceedings Article | 13 March 2017
Proc. SPIE. 10139, Medical Imaging 2017: Ultrasonic Imaging and Tomography
KEYWORDS: Biometrics, Ultrasonography, Abdomen, Bone, Medical imaging, Data acquisition, Head, Skull, CAD systems, Fetus

Proceedings Article | 3 March 2017
Proc. SPIE. 10134, Medical Imaging 2017: Computer-Aided Diagnosis
KEYWORDS: Liver, Convolutional neural networks, Computing systems, Lung, Spleen, Abdomen, Neural networks, Kidney, Machine learning, Computed tomography, Convolution, Network architectures

Showing 5 of 61 publications
Conference Committee Involvement (18)
Computer-Aided Diagnosis
17 February 2019 | San Diego, California, United States
Computer-Aided Diagnosis
12 February 2018 | Houston, Texas, United States
Computer-Aided Diagnosis Posters
13 February 2017 | Orlando, FL, United States
Computer-Aided Diagnosis
13 February 2017 | Orlando, Florida, United States
Computer-Aided Diagnosis
28 February 2016 | San Diego, California, United States
Showing 5 of 18 published special sections
Course Instructor
SC882: Computer-Aided Diagnosis
The interpretation of medical images is expected to benefit from computer technology with advances in CAD. Computer-aided diagnosis (CAD) can be defined as a diagnosis made by a radiologist who uses the output from a computerized analysis of medical images as a second opinion in detecting lesions and in making diagnostic decisions. The final diagnosis is made by the radiologist. Rationale, computerized image analysis methods, evaluation methods, and translational clinical studies of CAD in the detection, diagnosis, and risk assessment of cancer will be reviewed. Specific examples will be presented in breast imaging, thoracic imaging, and colonography.
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