2026 Dorin Comaniciu: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	90	596	579	320	310	603	57607

Research.com Recognitions

2019 - Member of the National Academy of Medicine (NAM)
2017 - ACM Fellow For contributions to machine intelligence, diagnostic imaging, image-guided interventions, and computer vision
2013 - Fellow of the Indian National Academy of Engineering (INAE)
2012 - IEEE Fellow For contributions to medical image analysis and computer vision

Overview

Dorin Comaniciu is affiliated with Siemens in the United States and focuses on research at the intersection of medicine and computer science. Their work spans multiple subfields within these disciplines, prominently featuring radiology, nuclear medicine and imaging, pulmonary and respiratory medicine, computer vision and pattern recognition, artificial intelligence, and biomedical engineering.

The scientist has authored research in primary fields such as:

Medicine
Computer Science

Within these areas, their subfield research includes:

Radiology, Nuclear Medicine and Imaging
Pulmonary and Respiratory Medicine
Computer Vision and Pattern Recognition
Artificial Intelligence
Biomedical Engineering

Their research topics cover a range of subjects related to medical imaging and diagnosis, particularly:

Radiomics and Machine Learning in Medical Imaging
COVID-19 diagnosis using AI
Lung Cancer Diagnosis and Treatment
AI in cancer detection
Medical Image Segmentation Techniques
Prostate Cancer Diagnosis and Treatment
Advanced X-ray and CT Imaging

Dorin Comaniciu has contributed to several recent publications, including:

"Automated Quantification of CT Patterns Associated with COVID-19 from Chest CT," 2020, Radiology Artificial Intelligence
"3D Printing, Computational Modeling, and Artificial Intelligence for Structural Heart Disease," 2020, JACC. Cardiovascular Imaging
"A Novel Deep Learning Based Computer-Aided Diagnosis System Improves the Accuracy and Efficiency of Radiologists in Reading Biparametric Magnetic Resonance Images of the Prostate," 2021, Investigative Radiology
"Artificial Intelligence in Diagnostic Imaging," 2020, Journal of Thoracic Imaging
"No Surprises: Training Robust Lung Nodule Detection for Low-Dose CT Scans by Augmenting With Adversarial Attacks," 2020, IEEE Transactions on Medical Imaging

Frequent publication venues where Dorin Comaniciu's work appears include:

arXiv (Cornell University)
Radiology Artificial Intelligence
Journal of Medical Imaging
Scientific Reports
International Journal of Radiation Oncology*Biology*Physics

The scientist collaborates regularly with a consistent group of co-authors, such as:

Saša Grbić
Florin C. Ghesu
Bogdan Georgescu
Eli Gibson
Thomas J. Re

Throughout their career, Dorin Comaniciu has received several distinctions, including:

Member of the National Academy of Medicine (NAM), 2019
ACM Fellow, 2017, for contributions to machine intelligence, diagnostic imaging, image-guided interventions, and computer vision
Fellow of the Indian National Academy of Engineering (INAE), 2013
IEEE Fellow, 2012, for contributions to medical image analysis and computer vision

Best Publications

Mean shift: a robust approach toward feature space analysis

D. Comaniciu;P. Meer

16412
Citations
Kernel-based object tracking

D. Comaniciu;V. Ramesh;P. Meer

7245
Citations
Real-time tracking of non-rigid objects using mean shift

D. Comaniciu;V. Ramesh;P. Meer

5021
Citations
Mean shift analysis and applications

D. Comaniciu;P. Meer

1645
Citations
Robust analysis of feature spaces: color image segmentation

D. Comaniciu;P. Meer

1173
Citations
Four-Chamber Heart Modeling and Automatic Segmentation for 3-D Cardiac CT Volumes Using Marginal Space Learning and Steerable Features

Yefeng Zheng;A. Barbu;B. Georgescu;M. Scheuering

770
Citations
The variable bandwidth mean shift and data-driven scale selection

D. Comaniciu;V. Ramesh;P. Meer

702
Citations
Total variation models for variable lighting face recognition

T. Chen;Wotao Yin;Xiang Sean Zhou;D. Comaniciu

630
Citations
Artificial Intelligence in Cardiovascular Imaging: JACC State-of-the-Art Review.

Damini Dey;Piotr J. Slomka;Paul Leeson;Dorin Comaniciu

616
Citations
An algorithm for data-driven bandwidth selection

D. Comaniciu

569
Citations
A machine-learning approach for computation of fractional flow reserve from coronary computed tomography.

Lucian Itu;Saikiran Rapaka;Tiziano Passerini;Bogdan Georgescu

426
Citations
Mean shift and optimal prediction for efficient object tracking

D. Comaniciu;V. Ramesh

377
Citations
Combo loss: Handling input and output imbalance in multi-organ segmentation

Saeid Asgari Taghanaki;Saeid Asgari Taghanaki;Yefeng Zheng;S. Kevin Zhou;Bogdan Georgescu

372
Citations
Multi-Scale Deep Reinforcement Learning for Real-Time 3D-Landmark Detection in CT Scans

Florin-Cristian Ghesu;Bogdan Georgescu;Yefeng Zheng;Sasa Grbic

329
Citations
A common framework for nonlinear diffusion, adaptive smoothing, bilateral filtering and mean shift

Danny Barash;Dorin Comaniciu

312
Citations
Detection and Measurement of Fetal Anatomies from Ultrasound Images using a Constrained Probabilistic Boosting Tree

G. Carneiro;B. Georgescu;S. Good;D. Comaniciu

268
Citations
Statistical modeling and performance characterization of a real-time dual camera surveillance system

M. Greiffenhagen;V. Ramesh;D. Comaniciu;H. Niemann

266
Citations
Patient-Specific Modeling and Quantification of the Aortic and Mitral Valves From 4-D Cardiac CT and TEE

Razvan Ioan Ionasec;Ingmar Voigt;Bogdan Georgescu;Yang Wang

264
Citations
Distribution Free Decomposition of Multivariate Data

Dorin Comaniciu;Peter Meer

264
Citations
Computer aided diagnostic assistance for medical imaging

Bhavani Duggirala;Diane S. Paine;Dorin Comaniciu;Arun Krishnan

245
Citations
Four-Chamber Heart Modeling and Automatic Segmentation for 3D Cardiac CT Volumes

Yefeng Zheng;Bogdan Georgescu;Adrian Barbu;Michael Scheuering

14
Citations

Frequent Co-Authors

Bogdan Georgescu Princeton University

Yefeng Zheng Tencent (China)

S. Kevin Zhou University of Science and Technology of China

Xiang Sean Zhou Siemens (Germany)

Joachim Hornegger University of Erlangen-Nuremberg

Visvanathan Ramesh Goethe University Frankfurt

Peter Meer Rutgers, The State University of New Jersey

Nassir Navab Technical University of Munich

Daguang Xu Nvidia (United Kingdom)

Gustavo Carneiro University of Surrey

External Links

Personal website of Dorin Comaniciu Google Scholar page

If you think any of the details on this page are incorrect, let us know.

Related Online Degrees & Career Pathways

Choosing to study Computer Science in the USA opens doors to a wide range of academic and career pathways. Many students now explore flexible online options that match their goals, budgets, and timelines. For those aiming to reach the highest level of education while keeping expenses in check, consider the cheapest doctorate degree programs available online.

Time is also a crucial factor for students who need to earn credentials quickly. Some institutions offer the fastest edd program online, allowing you to accelerate your academic journey without sacrificing quality.

If you’re just starting your higher education, you might consider one of the online associate degrees that can be completed in as little as six months. These programs are ideal for building a strong foundation in IT or computer science before advancing further.

For those interested in combining technology with business, various online business degree programs offer an affordable and flexible route to developing management skills crucial for tech leadership roles.