What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Internal medicine
- Radiology
His primary areas of study are Artificial intelligence, Computer vision, Segmentation, Image processing and Image registration.
His research integrates issues of Tomography and Pattern recognition in his study of Artificial intelligence.
His Computer vision research incorporates elements of Algorithm, Magnetic resonance imaging and Convolutional neural network.
His study looks at the intersection of Segmentation and topics like Atlas with Image fusion.
His study in Image registration is interdisciplinary in nature, drawing from both Stochastic gradient descent, Data mining, Matching, Mutual information and Medical physics.
Max A. Viergever has included themes like Information retrieval, Robustness and Computed tomography in his Medical imaging study.
His most cited work include:
- A survey of medical image registration. (3008 citations)
- Muliscale Vessel Enhancement Filtering (2736 citations)
- Mutual-information-based registration of medical images: a survey (2527 citations)
What are the main themes of his work throughout his whole career to date?
Max A. Viergever focuses on Artificial intelligence, Computer vision, Segmentation, Radiology and Nuclear medicine.
His Artificial intelligence study often links to related topics such as Pattern recognition.
The study incorporates disciplines such as Visualization and Algorithm in addition to Computer vision.
His study involves Image segmentation and Scale-space segmentation, a branch of Segmentation.
His research in Magnetic resonance imaging, Radiography, Medical imaging and Angiography are components of Radiology.
His Imaging phantom study combines topics in areas such as Image quality and Biomedical engineering.
He most often published in these fields:
- Artificial intelligence (36.06%)
- Computer vision (27.51%)
- Segmentation (16.98%)
What were the highlights of his more recent work (between 2014-2021)?
- Artificial intelligence (36.06%)
- Nuclear medicine (13.75%)
- Convolutional neural network (5.33%)
In recent papers he was focusing on the following fields of study:
His main research concerns Artificial intelligence, Nuclear medicine, Convolutional neural network, Radiology and Segmentation.
His Artificial intelligence research incorporates themes from White matter, Diffusion MRI, Computer vision and Pattern recognition.
His Diffusion MRI study incorporates themes from Algorithm and Human Connectome Project.
Max A. Viergever interconnects Radiation treatment planning and Radiography in the investigation of issues within Nuclear medicine.
His Convolutional neural network research is multidisciplinary, incorporating perspectives in Autoencoder, Ascending aorta, Minimum bounding box, Angiography and Voxel.
His work is dedicated to discovering how Segmentation, Coronal plane are connected with Sagittal plane and other disciplines.
Between 2014 and 2021, his most popular works were:
- Automatic Segmentation of MR Brain Images With a Convolutional Neural Network (477 citations)
- Generative Adversarial Networks for Noise Reduction in Low-Dose CT (380 citations)
- Assessment of algorithms for mitosis detection in breast cancer histopathology images (268 citations)
In his most recent research, the most cited papers focused on:
- Internal medicine
- Artificial intelligence
- Radiology
Max A. Viergever mainly investigates Artificial intelligence, Convolutional neural network, Radiology, Deep learning and Segmentation.
His research in Artificial intelligence intersects with topics in Neuroimaging, Computer vision and Pattern recognition.
His Image registration and Field of view study, which is part of a larger body of work in Computer vision, is frequently linked to Nuclear imaging, Intervention and Process, bridging the gap between disciplines.
His studies in Convolutional neural network integrate themes in fields like Sagittal plane, Minimum bounding box, Coronal plane, Angiography and Voxel.
Max A. Viergever combines subjects such as Supervised learning, Neuroradiology and Nuclear medicine with his study of Radiology.
His studies deal with areas such as Heart disease and Blood pool as well as Segmentation.
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