What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Internal medicine
- Computer vision
His scientific interests lie mostly in Artificial intelligence, Segmentation, Computer vision, Image segmentation and Pattern recognition.
The study of Artificial intelligence is intertwined with the study of Machine learning in a number of ways.
He has researched Segmentation in several fields, including Algorithm, Magnetic resonance imaging, Cluster analysis and Medical imaging.
His Computer vision research is multidisciplinary, incorporating elements of Field, Fast Fourier transform and Robustness.
His Image segmentation research is multidisciplinary, relying on both Image processing, Skin cancer, Normal skin and Skin lesion.
His studies deal with areas such as Network topology and Drilling as well as Artificial neural network.
His most cited work include:
- Medical image registration: a review. (403 citations)
- A review of algorithms for medical image segmentation and their applications to the female pelvic cavity (257 citations)
- Efficient supervised optimum-path forest classification for large datasets (186 citations)
What are the main themes of his work throughout his whole career to date?
João Manuel R. S. Tavares mostly deals with Artificial intelligence, Computer vision, Segmentation, Pattern recognition and Image segmentation.
His Artificial intelligence research integrates issues from Cartography and Machine learning.
All of his Computer vision and Object, Image registration and Feature investigations are sub-components of the entire Computer vision study.
Many of his studies involve connections with topics such as Magnetic resonance imaging and Segmentation.
His Magnetic resonance imaging research includes themes of Speech recognition and Speech production.
Many of his studies on Image segmentation involve topics that are commonly interrelated, such as Medical imaging.
He most often published in these fields:
- Artificial intelligence (37.48%)
- Computer vision (21.68%)
- Segmentation (13.61%)
What were the highlights of his more recent work (between 2017-2021)?
- Artificial intelligence (37.48%)
- Pattern recognition (11.26%)
- Computer vision (21.68%)
In recent papers he was focusing on the following fields of study:
João Manuel R. S. Tavares mainly focuses on Artificial intelligence, Pattern recognition, Computer vision, Segmentation and Deep learning.
Pattern recognition is closely connected to Machine learning in his research, which is encompassed under the umbrella topic of Artificial intelligence.
His Pattern recognition study combines topics from a wide range of disciplines, such as Feature and Fuzzy logic.
His research in Segmentation is mostly focused on Active contour model.
His Deep learning study incorporates themes from Image, Multimedia and Medical imaging.
João Manuel R. S. Tavares interconnects Ground truth and Occlusion in the investigation of issues within Image segmentation.
Between 2017 and 2021, his most popular works were:
- Computational methods for pigmented skin lesion classification in images: review and future trends (90 citations)
- A medical records managing and securing blockchain based system supported by a Genetic Algorithm and Discrete Wavelet Transform (81 citations)
- Social Group Optimization Supported Segmentation and Evaluation of Skin Melanoma Images (74 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Internal medicine
- Computer vision
His primary areas of investigation include Artificial intelligence, Pattern recognition, Image processing, Machine learning and Classifier.
As part of his studies on Artificial intelligence, he frequently links adjacent subjects like Computer vision.
His research integrates issues of Image quality, Salt-and-pepper noise, Noise reduction and Image restoration in his study of Pattern recognition.
His research in Image processing intersects with topics in Coordinate system, Computer graphics and Digital image correlation.
João Manuel R. S. Tavares focuses mostly in the field of Machine learning, narrowing it down to topics relating to Pattern recognition and, in certain cases, Computational intelligence, Range, Image registration, Data mining and Supercomputer.
While the research belongs to areas of Classifier, João Manuel R. S. Tavares spends his time largely on the problem of Feature extraction, intersecting his research to questions surrounding Feature selection, Skin cancer, Beat and Cardiac arrhythmia.
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