What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Surgery
- Radiology
The scientist’s investigation covers issues in Magnetic resonance imaging, Nuclear medicine, Artificial intelligence, Computer vision and Radiography.
His research integrates issues of Adipose tissue, Cartilage and Tomography x ray computed in his study of Magnetic resonance imaging.
J. A. de Guise has included themes like Animal model, Tomography, Nuclear magnetic resonance and Knee Joint in his Nuclear medicine study.
Artificial intelligence is closely attributed to Reference values in his study.
His studies in Computer vision integrate themes in fields like Algorithm, Reconstruction procedure and Statistical model.
His Radiography research incorporates elements of Cadaveric spasm, Iterative reconstruction, Biomedical engineering and Coordinate-measuring machine.
His most cited work include:
- Quantification of adipose tissue by MRI: relationship with anthropometric variables (454 citations)
- 3D reconstruction of the spine from biplanar X-rays using parametric models based on transversal and longitudinal inferences. (249 citations)
- A method for modeling noise in medical images (220 citations)
What are the main themes of his work throughout his whole career to date?
J. A. de Guise spends much of his time researching Artificial intelligence, Computer vision, 3D reconstruction, Orthodontics and Radiography.
Artificial intelligence and Pattern recognition are frequently intertwined in his study.
His work deals with themes such as Spine, Stereoradiography, Nuclear medicine, Orientation and Radiology, which intersect with 3D reconstruction.
The various areas that J. A. de Guise examines in his Nuclear medicine study include Tomography and Magnetic resonance imaging.
His study in Orthodontics is interdisciplinary in nature, drawing from both Reconstruction method, Knee Joint and Anatomy, Biomechanics.
His Radiography research includes elements of Sagittal plane, Medical imaging, Scoliosis, Lumbar vertebrae and Vertebra.
He most often published in these fields:
- Artificial intelligence (25.37%)
- Computer vision (22.89%)
- 3D reconstruction (17.41%)
What were the highlights of his more recent work (between 2011-2019)?
- Artificial intelligence (25.37%)
- Computer vision (22.89%)
- Orthodontics (23.88%)
In recent papers he was focusing on the following fields of study:
His main research concerns Artificial intelligence, Computer vision, Orthodontics, Physical medicine and rehabilitation and Radiology.
His work in the fields of Artificial intelligence, such as Segmentation, intersects with other areas such as Perceptual mapping.
His Computer vision research includes themes of Space, Nonlinear dimensionality reduction, Sagittal plane and Principal component analysis.
His Orthodontics study combines topics in areas such as Anterior cruciate ligament, Morpho, Knee Joint and Radiography.
J. A. de Guise interconnects Stereoradiography, Low dose, Sensitivity, Ankle and Knee kinematics in the investigation of issues within Physical medicine and rehabilitation.
His Radiology research is multidisciplinary, incorporating perspectives in Nuclear medicine and Kidney segmentation.
Between 2011 and 2019, his most popular works were:
- Fast 3D reconstruction of the lower limb using a parametric model and statistical inferences and clinical measurements calculation from biplanar X-rays (155 citations)
- Semi-automated stereoradiographic upper limb 3D reconstructions using a combined parametric and statistical model: a preliminary study (17 citations)
- Tibio-femoral joint contact in healthy and osteoarthritic knees during quasi-static squat: A bi-planar X-ray analysis. (14 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Surgery
- Radiology
His primary scientific interests are in Physical medicine and rehabilitation, Radiology, 3D reconstruction, Orthodontics and Anatomy.
His biological study spans a wide range of topics, including Stereoradiography, Knee kinematics and Low dose.
His 3D reconstruction research is multidisciplinary, relying on both Lower limb, 3d shapes, Radiography and Pelvis.
His Orthodontics research is multidisciplinary, incorporating elements of Femoral attachment, Epicondyle, Knee Joint and Graft fixation.
His study focuses on the intersection of Anatomy and fields such as Femur with connections in the field of Squat.
The Symmetry study combines topics in areas such as Computer vision and Artificial intelligence.
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