World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
46
Citations
16713
World Ranking
6663
National Ranking
106

Overview

Ehud Rivlin is affiliated with the Technion - Israel Institute of Technology in Israel and has contributed extensively to the fields of computer science and medicine. Their research spans a variety of subfields, including computer vision and pattern recognition, oncology, aerospace engineering, artificial intelligence, and radiology, nuclear medicine, and imaging.

They have published 54 works in computer science and 44 in medicine, with notable emphasis on topics related to colorectal cancer screening and detection, robotics and sensor-based localization, and advanced image and video retrieval techniques. Their work also covers areas such as radiomics and machine learning in medical imaging, cell image analysis techniques, robotic path planning algorithms, and image retrieval and classification techniques.

Ehud Rivlin has contributed to various publication venues over the years. These include:

  • arXiv (Cornell University)
  • Gastrointestinal Endoscopy
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Surgical Endoscopy
  • IEEE Transactions on Pattern Analysis and Machine Intelligence

Frequent collaborators in their research include Roman Goldenberg, Daniel Z. Freedman, Michael Elad, Tomer Golany, and George Leifman, with collaboration counts ranging from 11 to 22 publications each.

Among Ehud Rivlin's recent published papers are:

  • "Capabilities of Gemini Models in Medicine," 2024, arXiv (Cornell University)
  • "Artificial intelligence for phase recognition in complex laparoscopic cholecystectomy," 2022, Surgical Endoscopy
  • "Detection of elusive polyps using a large-scale artificial intelligence system (with videos)," 2021, Gastrointestinal Endoscopy
  • "Principal Uncertainty Quantification With Spatial Correlation for Image Restoration Problems," 2023, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • "Novel artificial intelligence-enabled deep learning system to enhance adenoma detection: a prospective randomized controlled study," 2023, iGIE

Best Publications

  • Placing search in context: the concept revisited.

    Lev Finkelstein;Evgeniy Gabrilovich;Yossi Matias;Ehud Rivlin

  • Robust Fragments-based Tracking using the Integral Histogram

    A. Adam;E. Rivlin;I. Shimshoni

  • Robust Real-Time Unusual Event Detection using Multiple Fixed-Location Monitors

    A. Adam;E. Rivlin;I. Shimshoni;D. Reinitz

  • Structural analysis of hypertexts: identifying hierarchies and useful metrics

    Rodrigo A. Botafogo;Ehud Rivlin;Ben Shneiderman

  • Fast geodesic active contours

    R. Goldenberg;R. Kimmel;E. Rivlin;M. Rudzsky

  • Color Invariants for Person Reidentification

    I. Kviatkovsky;A. Adam;E. Rivlin

  • Sensory-based motion planning with global proofs

    I. Kamon;E. Rivlin

  • Understanding Video Events: A Survey of Methods for Automatic Interpretation of Semantic Occurrences in Video

    G. Lavee;E. Rivlin;M. Rudzsky

  • TangentBug: A Range-Sensor-Based Navigation Algorithm

    Ishay Kamon;Elon Rimon;Ehud Rivlin

  • Offline cursive script word recognition : a survey

    Tal Steinherz;Ehud Rivlin;Nathan Intrator

  • Visual Homing: Surfing on the Epipoles

    Ronen Basri;Ehud Rivlin;Ilan Shimshoni

  • Mean Shift tracking with multiple reference color histograms

    Ido Leichter;Michael Lindenbaum;Ehud Rivlin

  • A comparison of Gaussian and mean curvatures estimation methods on triangular meshes

    T. Surazhsky;E. Magid;O. Soldea;G. Elber

  • A new range-sensor based globally convergent navigation algorithm for mobile robots

    I. Kamon;E. Rivlin;E. Rimon

  • Recognition by functional parts

    Ehud Rivlin;Sven J. Dickinson;Azriel Rosenfeld

  • Navigating in hyperspace: designing a structure-based toolbox

    Ehud Rivlin;Rodrigo Botafogo;Ben Shneiderman

  • Cortex segmentation: a fast variational geometric approach

    R. Goldenberg;R. Kimmel;E. Rivlin;M. Rudzsky

  • A comparison of Gaussian and mean curvature estimation methods on triangular meshes of range image data

    Evgeni Magid;Octavian Soldea;Ehud Rivlin

  • Applying algebraic and differential invariants for logo recognition

    D. Doermann;E. Rivlin;E. Rivlin;I. Weiss

  • Sparse coding with anomaly detection

    Amir Adler;Michael Elad;Yacov Hel-Or;Ehud Rivlin

Frequent Co-Authors

Azriel Rosenfeld
Azriel Rosenfeld University of Maryland, College Park
Ronen Basri
Ronen Basri Weizmann Institute of Science
Ron Kimmel
Ron Kimmel Technion – Israel Institute of Technology
Zeev Zalevsky
Zeev Zalevsky Bar-Ilan University
Michael Lindenbaum
Michael Lindenbaum Technion – Israel Institute of Technology
David Doermann
David Doermann University at Buffalo, State University of New York
Eytan Ruppin
Eytan Ruppin National Institutes of Health
Shaul Markovitch
Shaul Markovitch Technion – Israel Institute of Technology
David Mendlovic
David Mendlovic Tel Aviv University
Nathan Intrator
Nathan Intrator Tel Aviv University

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