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D-Index & Metrics

Computer Science

D-Index
47
Citations
9911
World Ranking
6444
National Ranking
2869

Research.com Recognitions

  • 2012 - ACM Senior Member

Overview

Margrit Betke is an active researcher affiliated with Boston University in the United States. Their work primarily spans multiple domains within computer science and medicine, with a significant focus on computer vision, artificial intelligence, and medical imaging.

Their recent publications include diverse topics and venues:

  • "A Graph-Transformer for Whole Slide Image Classification" (2022) in IEEE Transactions on Medical Imaging
  • "Visual complexity analysis using deep intermediate-layer features" (2020) in Computer Vision and Image Understanding
  • "Deep-Learning-Driven Quantification of Interstitial Fibrosis in Digitized Kidney Biopsies" (2021) in American Journal Of Pathology
  • "HGaze Typing: Head-Gesture Assisted Gaze Typing" (2021) in ACM Symposium on Eye Tracking Research and Applications
  • "What Makes Gun Violence a (Less) Prominent Issue? A Computational Analysis of Compelling Arguments and Selective Agenda Setting" (2021) in Mass Communication & Society

Their collaboration network frequently includes the following co-authors:

  • Derry Wijaya
  • Vijaya B. Kolachalama
  • Лэй Гуо
  • Jennifer Beane
  • Mona Jalal

Betke's publications are often found in venues such as:

  • arXiv (Cornell University)
  • bioRxiv (Cold Spring Harbor Laboratory)
  • IEEE Transactions on Medical Imaging
  • Mass Communication & Society
  • Gates Open Research

The main fields of study covered by Betke include:

  • Computer Science
  • Medicine

Within these broader fields, their work touches on subfields such as:

  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Radiology, Nuclear Medicine and Imaging
  • Molecular Biology
  • Cognitive Neuroscience

The main topics Betke addresses in their research encompass:

  • AI in cancer detection
  • Multimodal Machine Learning Applications
  • Radiomics and Machine Learning in Medical Imaging
  • Domain Adaptation and Few-Shot Learning
  • COVID-19 diagnosis using AI
  • Topic Modeling
  • Human Pose and Action Recognition

In recognition of contributions to their field, Betke was awarded the ACM Senior Member designation in 2012.

Best Publications

  • Mobile robot localization using landmarks

    M. Betke;L. Gurvits

  • The Camera Mouse: visual tracking of body features to provide computer access for people with severe disabilities

    M. Betke;J. Gips;P. Fleming

  • Real-time multiple vehicle detection and tracking from a moving vehicle

    Margrit Betke;Esin Haritaoglu;Larry S. Davis

  • Communication via eye blinks - detection and duration analysis in real time

    K. Grauman;M. Betke;J. Gips;G.R. Bradski

  • Real Time Eye Tracking and Blink Detection with USB Cameras

    Michael Chau;Margrit Betke

  • The correlation between internal and external markers for abdominal tumors: implications for respiratory gating.

    David P. Gierga;Johanna Brewer;Gregory C. Sharp;Margrit Betke

  • Chest CT: automated nodule detection and assessment of change over time--preliminary experience.

    Jane P. Ko;Margrit Betke

  • Communication via eye blinks and eyebrow raises: video-based human-computer interfaces

    K. Grauman;M. Betke;J. Lombardi;J. Gips

  • A protocol and calibration method for accurate multi-camera field videography

    Diane H Theriault;Nathan W Fuller;Brandon E Jackson;Evan Bluhm

  • A Graph-Transformer for Whole Slide Image Classification

    Unknown

  • Multiple vehicle detection and tracking in hard real-time

    M. Betke;E. Haritaoglu;L.S. Davis

  • Quantification of respiration-induced abdominal tumor motion and its impact on IMRT dose distributions

    David P Gierga;George T.Y Chen;Jong H Kung;Margrit Betke

  • A Thermal Infrared Video Benchmark for Visual Analysis

    Zheng Wu;Nathan Fuller;Diane Theriault;Margrit Betke

  • Landmark detection in the chest and registration of lung surfaces with an application to nodule registration.

    Margrit Betke;Harrison Hong;Deborah Thomas;Chekema Prince

  • Piecemeal Graph Exploration by a Mobile Robot

    Baruch Awerbuch;Margrit Betke;Ronald L. Rivest;Mona Singh

  • Coupling detection and data association for multiple object tracking

    Zheng Wu;Ashwin Thangali;Stan Sclaroff;Margrit Betke

  • Tracking Large Variable Numbers of Objects in Clutter

    M. Betke;D.E. Hirsh;A. Bagchi;N.I. Hristov

  • Fast object recognition in noisy images using simulated annealing

    M. Betke;N.C. Makris

  • Piecemeal learning of an unknown environment

    Margrit Betke;Ronald L. Rivest;Mona Singh

  • Tracking a large number of objects from multiple views

    Zheng Wu;Nickolay I. Hristov;Tyson L. Hedrick;Thomas H. Kunz

  • Efficient track linking methods for track graphs using network-flow and set-cover techniques

    Zheng Wu;Thomas H. Kunz;Margrit Betke

Frequent Co-Authors

Stan Sclaroff
Stan Sclaroff Boston University
Tyson L. Hedrick
Tyson L. Hedrick University of North Carolina at Chapel Hill
Kristen Grauman
Kristen Grauman The University of Texas at Austin
Vassilis Athitsos
Vassilis Athitsos The University of Texas at Arlington
Larry S. Davis
Larry S. Davis University of Maryland, College Park
Prakash Ishwar
Prakash Ishwar Boston University
Brian Price
Brian Price Adobe Systems (United States)
Xiaohui Shen
Xiaohui Shen ByteDance
Zhe Lin
Zhe Lin Adobe Systems (United States)

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