World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
46
Citations
11287
World Ranking
6736
National Ranking
2971

Overview

Scott Cohen is affiliated with Adobe Systems in the United States and has published extensively across the fields of Computer Science and Medicine. Their work primarily intersects advanced computational techniques with medical applications, reflecting a multidisciplinary approach.

Cohen's main areas of study encompass:

  • Computer Science (69 publications)
  • Medicine (62 publications)

Their research subfields include:

  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Nephrology
  • Cardiology and Cardiovascular Medicine
  • Epidemiology

Scott Cohen's key topics of work highlight:

  • Advanced Image and Video Retrieval Techniques
  • Multimodal Machine Learning Applications
  • Generative Adversarial Networks and Image Synthesis
  • Advanced Vision and Imaging
  • Dialysis and Renal Disease Management
  • Congenital Heart Disease Studies
  • Advanced Neural Network Applications

The scientist has collaborated frequently with co-authors including Zhe Lin, Jiebo Luo, Brian Price, Haitian Zheng, and Jingwan Lu.

Scott Cohen has published in a variety of scientific venues, with frequent publications in:

  • arXiv (Cornell University)
  • Journal of the American Society of Nephrology
  • Journal of the American College of Cardiology
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • American Journal of Kidney Diseases

Notable recent papers authored or co-authored by Cohen include:

  • Getting to 99% Accuracy in Interactive Segmentation, 2020, arXiv (Cornell University)
  • Assessing Nephrology Fellows' Skills in Communicating About Kidney Replacement Therapy and Kidney Biopsy: A Multicenter Clinical Simulation Study on Breaking Bad News, 2021, American Journal of Kidney Diseases
  • Physical Activity and Exercise for Cardiorespiratory Health and Fitness in Chronic Kidney Disease, 2022, Reviews in Cardiovascular Medicine
  • Fatigability and the Role of Neuromuscular Impairments in Chronic Kidney Disease, 2022, American Journal of Nephrology
  • Social Support, Caregivers, and Chronic Kidney Disease, 2021, Seminars in Nephrology

In addition to journal publications, Cohen has contributed to book publications, including a title published by the University of Minnesota Press:

  • What We Teach When We Teach DH, 2023

Best Publications

  • Coupled Dictionary Training for Image Super-Resolution

    Jianchao Yang;Zhaowen Wang;Zhe Lin;S. Cohen

  • CVODE, a stiff/nonstiff ODE solver in C

    Scott D. Cohen;Alan C. Hindmarsh

  • YouTube-VOS: Sequence-to-Sequence Video Object Segmentation

    Ning Xu;Linjie Yang;Yuchen Fan;Jianchao Yang

  • Towards unified depth and semantic prediction from a single image

    Peng Wang;Xiaohui Shen;Zhe Lin;Scott Cohen

  • Deep Image Matting

    Ning Xu;Brian Price;Scott Cohen;Thomas Huang

  • Deep Interactive Object Selection

    Ning Xu;Brian Price;Scott Cohen;Jimei Yang

  • Object Contour Detection with a Fully Convolutional Encoder-Decoder Network

    Jimei Yang;Brian Price;Scott Cohen;Honglak Lee

  • Fast Image Super-Resolution Based on In-Place Example Regression

    Jianchao Yang;Zhe Lin;Scott Cohen

  • Using line integral convolution for flow visualization: curvilinear grids, variable-speed animation, and unsteady flows

    L.K. Forssell;S.D. Cohen

  • Geodesic graph cut for interactive image segmentation

    Brian L. Price;Bryan Morse;Scott Cohen

  • Improving Image Matting Using Comprehensive Sampling Sets

    Ehsan Shahrian;Deepu Rajan;Brian Price;Scott Cohen

  • DVQA: Understanding Data Visualizations via Question Answering

    Kushal Kafle;Brian Price;Scott Cohen;Christopher Kanan

  • LIVEcut: Learning-based interactive video segmentation by evaluation of multiple propagated cues

    Brian L. Price;Bryan S. Morse;Scott Cohen

  • Discriminability Objective for Training Descriptive Captions

    Ruotian Luo;Gregory Shakhnarovich;Scott Cohen;Brian Price

  • Data Augmentation for Recognition of Handwritten Words and Lines Using a CNN-LSTM Network

    Curtis Wigington;Seth Stewart;Brian Davis;Bill Barrett

  • Context Driven Scene Parsing with Attention to Rare Classes

    Jimei Yang;Brian Price;Scott Cohen;Ming-Hsuan Yang

  • Large Displacement Optical Flow from Nearest Neighbor Fields

    Zhuoyuan Chen;Hailin Jin;Zhe Lin;Scott Cohen

  • The Earth Mover's Distance under transformation sets

    S. Cohen;L. Guibasm

  • Estimating Spatially Varying Defocus Blur From A Single Image

    Xiang Zhu;Scott Cohen;Stephen Schiller;Peyman Milanfar

  • Effective learning-based illuminant estimation using simple features

    Dongliang Cheng;Brian Price;Scott Cohen;Michael S. Brown

  • Discriminability objective for training descriptive captions

    Ruotian Luo;Brian Price;Scott Cohen;Gregory Shakhnarovich

Frequent Co-Authors

Brian Price
Brian Price Adobe Systems (United States)
Zhe Lin
Zhe Lin Adobe Systems (United States)
Xiaohui Shen
Xiaohui Shen ByteDance
Hailin Jin
Hailin Jin Adobe Systems (United States)
Jimei Yang
Jimei Yang Adobe Systems (United States)
Jianchao Yang
Jianchao Yang ByteDance
Thomas S. Huang
Thomas S. Huang University of Illinois at Urbana-Champaign
Peng Wang
Peng Wang Baidu (China)
Michael S. Brown
Michael S. Brown York University
Ahmed Elgammal
Ahmed Elgammal Rutgers, The State University of New Jersey

External Links

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

Expanding your skills in computer science can open doors to a range of dynamic careers. Many students explore new pathways through affordable and flexible online degree programs. For those interested in data science, identifying what is the cheapest data science course in the us? can be a great way to start or advance your career without accumulating heavy student debt.

If your interests lean towards technology and engineering, several schools now offer electrical engineering degree online admissions, making it possible to study from anywhere without sacrificing program quality. Additionally, you can boost your job prospects quickly through short certificate programs that pay well, allowing you to gain practical skills in just a few months.

For those looking to move up the career ladder or change fields fast, considering one of the shortest master degree programs can help you earn an advanced credential efficiently. With the right program, you can access new career pathways, higher salaries, and exciting opportunities in the tech industry.

Best Scientists Citing Scott Cohen

Trending Scientists

Recently Published Articles