What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Computer vision
- Internal medicine
Artificial intelligence, Computer vision, Image registration, Magnetic resonance imaging and Image processing are his primary areas of study.
His study in Artificial intelligence concentrates on Mutual information, Voxel, Medical imaging, Similarity measure and Image-guided surgery.
His Computer vision study combines topics in areas such as Transformation, Imaging phantom, Visualization and Affine transformation.
The various areas that David J. Hawkes examines in his Image registration study include Image segmentation and Fluoroscopy, Radiology, Ultrasound, Fiducial marker.
His research integrates issues of Anatomy & histology, Pathology, Radiography, Breathing and Nuclear medicine in his study of Magnetic resonance imaging.
In the field of Image processing, his study on Digital image overlaps with subjects such as Modalities and Context.
His most cited work include:
- Nonrigid registration using free-form deformations: application to breast MR images (4302 citations)
- An overlap invariant entropy measure of 3D medical image alignment (1911 citations)
- Medical image registration (1857 citations)
What are the main themes of his work throughout his whole career to date?
The scientist’s investigation covers issues in Artificial intelligence, Computer vision, Image registration, Radiology and Magnetic resonance imaging.
The concepts of his Artificial intelligence study are interwoven with issues in Imaging phantom and Pattern recognition.
David J. Hawkes has researched Computer vision in several fields, including Transformation and Affine transformation.
The Image registration study combines topics in areas such as Medical imaging, Mammography, Finite element method, Algorithm and Similarity measure.
His Radiology study incorporates themes from Prostate and Biomedical engineering.
Much of his study explores Magnetic resonance imaging relationship to Nuclear medicine.
He most often published in these fields:
- Artificial intelligence (50.52%)
- Computer vision (43.63%)
- Image registration (25.19%)
What were the highlights of his more recent work (between 2013-2021)?
- Artificial intelligence (50.52%)
- Radiology (19.49%)
- Computer vision (43.63%)
In recent papers he was focusing on the following fields of study:
His primary areas of investigation include Artificial intelligence, Radiology, Computer vision, Magnetic resonance imaging and Breast cancer.
His is doing research in Image registration and Segmentation, both of which are found in Artificial intelligence.
His studies deal with areas such as Breast imaging, Finite element method, Motion estimation, Supine position and Transformation as well as Image registration.
His Radiology study integrates concerns from other disciplines, such as Cancer, Prostate, Prostate cancer and Surgery.
His study in Computer vision is interdisciplinary in nature, drawing from both Imaging phantom and Laparoscopic ultrasound.
His studies in Magnetic resonance imaging integrate themes in fields like Mammography, Nuclear medicine and Pathology.
Between 2013 and 2021, his most popular works were:
- Imaging biomarker roadmap for cancer studies. (407 citations)
- Microstructural Characterization of Normal and Malignant Human Prostate Tissue With Vascular, Extracellular, and Restricted Diffusion for Cytometry in Tumours Magnetic Resonance Imaging (85 citations)
- The PICTURE study: diagnostic accuracy of multiparametric MRI in men requiring a repeat prostate biopsy (59 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Surgery
- Internal medicine
His main research concerns Artificial intelligence, Computer vision, Radiology, Magnetic resonance imaging and Image registration.
His research in Artificial intelligence intersects with topics in Radiation therapy and Pattern recognition.
His work carried out in the field of Computer vision brings together such families of science as Invasive surgery and Imaging phantom.
While the research belongs to areas of Radiology, David J. Hawkes spends his time largely on the problem of Surgery, intersecting his research to questions surrounding Laparoscopic gastrectomy, Navigation system and Ultrasound.
His Magnetic resonance imaging study combines topics in areas such as Cancer, Prostate, Prostate cancer, Biopsy and Medical physics.
His Image registration research incorporates elements of Biomechanics, Mammography, Motion estimation, Supine position and Prone position.
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