What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Computer vision
- Internal medicine
Michael D. Abràmoff focuses on Artificial intelligence, Diabetic retinopathy, Computer vision, Retinal and Retina.
His work in the fields of Artificial intelligence, such as Feature, Medical imaging and Image texture, intersects with other areas such as Reference standards and Filter bank.
His Diabetic retinopathy study integrates concerns from other disciplines, such as Retinopathy, Internal medicine, Receiver operating characteristic and Fundus.
Computer vision is frequently linked to Optic disc in his study.
His research integrates issues of Image processing, Optical coherence tomography and Vessel segmentation in his study of Retinal.
The concepts of his Retina study are interwoven with issues in Feature vector, Macular degeneration and Optic nerve.
His most cited work include:
- Image processing with ImageJ (8858 citations)
- Ridge-based vessel segmentation in color images of the retina (2322 citations)
- Retinal Imaging and Image Analysis (752 citations)
What are the main themes of his work throughout his whole career to date?
Michael D. Abràmoff mostly deals with Artificial intelligence, Ophthalmology, Retinal, Computer vision and Optical coherence tomography.
His studies deal with areas such as Fundus and Pattern recognition as well as Artificial intelligence.
His research in Retinal intersects with topics in Diabetic retinopathy, Retina, Optics, Internal medicine and Biomedical engineering.
His research investigates the link between Diabetic retinopathy and topics such as Retinopathy that cross with problems in Eye disease.
Optic disk is closely connected to Optic disc in his research, which is encompassed under the umbrella topic of Computer vision.
His Optical coherence tomography course of study focuses on Glaucoma and Optic nerve.
He most often published in these fields:
- Artificial intelligence (49.45%)
- Ophthalmology (44.12%)
- Retinal (40.99%)
What were the highlights of his more recent work (between 2016-2021)?
- Diabetic retinopathy (24.63%)
- Artificial intelligence (49.45%)
- Ophthalmology (44.12%)
In recent papers he was focusing on the following fields of study:
Diabetic retinopathy, Artificial intelligence, Ophthalmology, Optical coherence tomography and Retinal are his primary areas of study.
His Diabetic retinopathy study combines topics from a wide range of disciplines, such as Retinopathy, Telemedicine, Pediatrics and Type 2 diabetes.
His Artificial intelligence research integrates issues from Computer vision and Pattern recognition.
His Nerve fiber layer and Macular degeneration study, which is part of a larger body of work in Ophthalmology, is frequently linked to In patient, bridging the gap between disciplines.
His work deals with themes such as Choroid, Glaucoma and Medical imaging, which intersect with Optical coherence tomography.
His Retinal study focuses on Fundus in particular.
Between 2016 and 2021, his most popular works were:
- Pivotal trial of an autonomous AI-based diagnostic system for detection of diabetic retinopathy in primary care offices (257 citations)
- End-to-End Adversarial Retinal Image Synthesis (163 citations)
- Deep learning in ophthalmology: The technical and clinical considerations. (87 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Internal medicine
- Computer vision
His main research concerns Diabetic retinopathy, Artificial intelligence, Ophthalmology, Diabetes mellitus and Optical coherence tomography.
Michael D. Abràmoff has included themes like Retinopathy, Primary care, Type 2 diabetes, Disease and Pediatrics in his Diabetic retinopathy study.
His work carried out in the field of Artificial intelligence brings together such families of science as Diabetic retinopathy screening and Machine learning.
He has researched Ophthalmology in several fields, including Meta-analysis, Tomography and Confidence interval.
He interconnects Retina, Neuroscience and Neurodegeneration in the investigation of issues within Diabetes mellitus.
His biological study spans a wide range of topics, including Fluorescein angiography and Medical imaging.
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