World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
79
Citations
48220
World Ranking
1114
National Ranking
594

Medicine

D-Index
83
Citations
35450
World Ranking
15398
National Ranking
7766

Research.com Recognitions

  • 2006 - Fellow of the Indian National Academy of Engineering (INAE)
  • 2002 - IEEE Fellow For contributions to medical image analysis and computer vision.

Overview

Milan Sonka is affiliated with the University of Iowa in the United States. Their research focuses primarily on the intersection of medicine and computer science, with a significant emphasis on medical image analysis and its applications.

The scientist's work spans two main fields of study:

  • Medicine
  • Computer Science

Within these fields, the subfields of study include:

  • Radiology, Nuclear Medicine and Imaging
  • Computer Vision and Pattern Recognition
  • Surgery
  • Artificial Intelligence
  • Biomedical Engineering

The main topics addressed in Milan Sonka's research involve:

  • Radiomics and Machine Learning in Medical Imaging
  • Transplantation: Methods and Outcomes
  • AI in cancer detection
  • Advanced Neural Network Applications
  • COVID-19 diagnosis using AI
  • Glioma Diagnosis and Treatment
  • Coronary Interventions and Diagnostics

Milan Sonka has published extensively across various venues, with frequent publications in:

  • arXiv (Cornell University)
  • Medical Image Analysis
  • The Journal of Heart and Lung Transplantation
  • Journal of the American College of Cardiology
  • Journal of Neuroscience Methods

Notable recent papers include:

  • COVID TV-Unet: Segmenting COVID-19 chest CT images using connectivity imposed Unet, 2021, Informationszentrum Lebenswissenschaften (ZB MED)
  • Large-scale Robust Deep AUC Maximization: A New Surrogate Loss and Empirical Studies on Medical Image Classification, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • Deep-COVID: Predicting COVID-19 from chest X-ray images using deep transfer learning, 2020, Medical Image Analysis
  • Radiomics-based differentiation between glioblastoma and primary central nervous system lymphoma: a comparison of diagnostic performance across different MRI sequences and machine learning techniques, 2021, European Radiology
  • U-Net v2: Rethinking the Skip Connections of U-Net for Medical Image Segmentation, 2023, arXiv (Cornell University)

Coauthors frequently collaborating with Milan Sonka include:

  • Andreas Wahle (14 publications)
  • Honghai Zhang (12 publications)
  • Girish Bathla (11 publications)
  • Zhi Chen (11 publications)
  • Sean Mullan (10 publications)

In addition to journal and conference papers, Milan Sonka has contributed to book publications, including:

  • Medical Image Analysis - Teaser to First Edition, 2023, published by European Organization for Nuclear Research

Milan Sonka has received professional recognition including:

  • Fellow of the Indian National Academy of Engineering (INAE), 2006
  • IEEE Fellow, 2002, for contributions to medical image analysis and computer vision

Best Publications

  • Image Processing: Analysis and Machine Vision

    Milan Sonka;Vaclav Hlavac;Roger Boyle

  • 3D Slicer as an image computing platform for the Quantitative Imaging Network.

    Andriy Fedorov;Reinhard Beichel;Jayashree Kalpathy-Cramer;Julien Finet

  • Retinal Imaging and Image Analysis

    M D Abràmoff;M K Garvin;M Sonka

  • Deep-COVID: Predicting COVID-19 from chest X-ray images using deep transfer learning.

    Shervin Minaee;Rahele Kafieh;Milan Sonka;Shakib Yazdani

  • Optimal Surface Segmentation in Volumetric Images-A Graph-Theoretic Approach

    Kang Li;Xiaodong Wu;D.Z. Chen;M. Sonka

  • Automated 3-D Intraretinal Layer Segmentation of Macular Spectral-Domain Optical Coherence Tomography Images

    M.K. Garvin;M.D. Abramoff;Xiaodong Wu;S.R. Russell

  • Retinal neurodegeneration may precede microvascular changes characteristic of diabetic retinopathy in diabetes mellitus.

    Elliott H. Sohn;Hille W. van Dijk;Chunhua Jiao;Pauline H. B. Kok

  • 3-D active appearance models: segmentation of cardiac MR and ultrasound images

    S.C. Mitchell;J.G. Bosch;B.P.F. Lelieveldt;R.J. van der Geest

  • Effect of endothelial shear stress on the progression of coronary artery disease, vascular remodeling, and in-stent restenosis in humans: in vivo 6-month follow-up study.

    Peter H. Stone;Ahmet U. Coskun;Scott Kinlay;Maureen E. Clark

  • Image processing analysis and machine vision [2nd ed.]

    Milan Sonka;Václav Hlaváč;Roger Boyle

  • Interstitial lung disease: A quantitative study using the adaptive multiple feature method.

    Renuka Uppaluri;Eric A. Hoffman;Milan Sonka;Gary W. Hunninghake

  • Multistage hybrid active appearance model matching: segmentation of left and right ventricles in cardiac MR images

    S.C. Mitchell;B.P.F. Lelieveldt;R.J. van der Geest;H.G. Bosch

  • Selective Loss of Inner Retinal Layer Thickness in Type 1 Diabetic Patients with Minimal Diabetic Retinopathy

    Hille W. van Dijk;Pauline H. B. Kok;Mona Garvin;Milan Sonka

  • Decreased retinal ganglion cell layer thickness in patients with type 1 diabetes.

    Hille W. van Dijk;Frank D. Verbraak;Pauline H. B. Kok;Mona K. Garvin

  • Early Neurodegeneration in the Retina of Type 2 Diabetic Patients

    Hille W. van Dijk;Frank D. Verbraak;Pauline H. B. Kok;Marilette Stehouwer

  • Intraretinal Layer Segmentation of Macular Optical Coherence Tomography Images Using Optimal 3-D Graph Search

    M.K. Garvin;M.D. Abramoff;R. Kardon;S.R. Russell

  • Intrathoracic airway trees: segmentation and airway morphology analysis from low-dose CT scans

    J. Tschirren;E.A. Hoffman;G. McLennan;M. Sonka

  • Automatic segmentation of echocardiographic sequences by active appearance motion models

    J.G. Bosch;S.C. Mitchell;B.P.F. Lelieveldt;F. Nijland

  • Quantification of Pulmonary Emphysema from Lung Computed Tomography Images

    Renuka Uppaluri;Theophano Mitsa;Milan Sonka;Eric A. Hoffman

  • A Fully Parallel 3D Thinning Algorithm and Its Applications

    C.Min Ma;Milan Sonka

Frequent Co-Authors

Michael D. Abràmoff
Michael D. Abràmoff University of Iowa
Eric A. Hoffman
Eric A. Hoffman University of Iowa
Meindert Niemeijer
Meindert Niemeijer Digital Diagnostics Inc.
Boudewijn P. F. Lelieveldt
Boudewijn P. F. Lelieveldt Leiden University Medical Center
Johan H. C. Reiber
Johan H. C. Reiber Leiden University Medical Center
Joseph M. Reinhardt
Joseph M. Reinhardt University of Iowa
Randy H. Kardon
Randy H. Kardon University of Iowa
John M. Buatti
John M. Buatti University of Iowa
Aleš Linhart
Aleš Linhart Charles University
Hossein Rabbani
Hossein Rabbani Isfahan University of Medical Sciences

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

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

While a Computer Science degree in the USA opens many doors, exploring other related online degrees can broaden your career options. Some of the most useful degrees include fields like Information Technology, Data Science, and Cybersecurity—each offering unique specializations and job opportunities.

For those interested in advancing their education, you might consider programs that are accessible and flexible. Many professionals benefit from enrolling in some of the easiest masters programs to get into, allowing for career growth without excessive entry requirements.

Affordability is another key factor. You can pursue further studies with the cheapest doctorate degree online, making it possible to earn advanced credentials without overextending your finances.

For educators and professionals interested in leadership, consider online edd programs that offer fast-track options and flexible study schedules. These degrees help graduates take on roles in academic administration or advanced educational research.

Best Scientists Citing Milan Sonka

Trending Scientists

Recently Published Articles