Ron Kimmel

About Ron Kimmel

Ron Kimmel, With an exceptional h-index of 81 and a recent h-index of 42 (since 2020), a distinguished researcher at Technion - Israel Institute of Technology, specializes in the field of Image processing, computer vision, shape analysis, medical imaging, metric geometry.

His recent articles reflect a diverse array of research interests and contributions to the field:

Paint by Inpaint: Learning to Add Image Objects by Removing Them First

Surface Reconstruction from Gaussian Splatting via Novel Stereo Views

Non-ionizing measurement and quantification of bell-shaped chests in spinal muscular atrophy: A pilot study

Fusecap: Leveraging large language models for enriched fused image captions

On Partial Shape Correspondence and Functional Maps

Deep Accurate Solver for the Geodesic Problem

Partial Matching of Nonrigid Shapes by Learning Piecewise Smooth Functions

Prediction of OncotypeDX high risk group for chemotherapy benefit in breast cancer by deep learning analysis of hematoxylin and eosin-stained whole slide images

Ron Kimmel Information

University

Position

Professor of Computer Science Israel

Citations(all)

34586

Citations(since 2020)

7706

Cited By

30219

hIndex(all)

81

hIndex(since 2020)

42

i10Index(all)

233

i10Index(since 2020)

124

Email

University Profile Page

Technion - Israel Institute of Technology

Google Scholar

View Google Scholar Profile

Ron Kimmel Skills & Research Interests

Image processing

computer vision

shape analysis

medical imaging

metric geometry

Top articles of Ron Kimmel

Title

Journal

Author(s)

Publication Date

Paint by Inpaint: Learning to Add Image Objects by Removing Them First

arXiv preprint arXiv:2404.18212

Navve Wasserman

Noam Rotstein

Roy Ganz

Ron Kimmel

2024/4/28

Surface Reconstruction from Gaussian Splatting via Novel Stereo Views

arXiv preprint arXiv:2404.01810

Yaniv Wolf

Amit Bracha

Ron Kimmel

2024/4/2

Non-ionizing measurement and quantification of bell-shaped chests in spinal muscular atrophy: A pilot study

Frontiers in Pediatrics

Israel Amirav

Neta Rabin

Sapir Levi

Ronly Har-Even Cohn

Yotam Lior

...

2024/2/2

Fusecap: Leveraging large language models for enriched fused image captions

Noam Rotstein

David Bensaïd

Shaked Brody

Roy Ganz

Ron Kimmel

2024

On Partial Shape Correspondence and Functional Maps

arXiv preprint arXiv:2310.14692

Amit Bracha

Thomas Dagès

Ron Kimmel

2023/10/23

Deep Accurate Solver for the Geodesic Problem

Saar Huberman

Amit Bracha

Ron Kimmel

2023/5/9

Partial Matching of Nonrigid Shapes by Learning Piecewise Smooth Functions

Computer Graphics Forum

David Bensaïd

Noam Rotstein

Nelson Goldenstein

Ron Kimmel

2023/8

Prediction of OncotypeDX high risk group for chemotherapy benefit in breast cancer by deep learning analysis of hematoxylin and eosin-stained whole slide images

Cancer Research

Gil Shamai

Ran Schley

Ron Kimmel

Nora Balint-Lahat

Iris Barshack

...

2023/4/4

3D surface topographic measurements for idiopathic scoliosis are highly correlative to patient self-image questionnaires

Spine Deformity

Ankush Thakur

Benjamin Groisser

Howard J Hillstrom

Matthew E Cunningham

M Timothy Hresko

...

2023/7

Elastica models for color image regularization

SIAM Journal on Imaging Sciences

Hao Liu

Xue-Cheng Tai

Ron Kimmel

Roland Glowinski

2023/3/31

Partial Shape Similarity by Multi-metric Hamiltonian Spectra Matching

David Bensaïd

Amit Bracha

Ron Kimmel

2023/5/10

Online compensation of thermal distortions in a stereo depth camera

2023/3/9

Learning Differential Invariants of Planar Curves

Roy Velich

Ron Kimmel

2023/5/10

Can We Quantify Aging-Associated Postural Changes Using Photogrammetry? A Systematic Review

Omer Dilian

Ron Kimmel

Roy Tezmah-Shahar

Maayan Agmon

2022/9/2

Deep Signatures--Learning Invariants of Planar Curves

arXiv preprint arXiv:2202.05922

Roy Velich

Ron Kimmel

2022/2/11

Range estimation for light detecting and ranging (lidar) systems

2022/11/24

Multimodal colored point cloud to image alignment

Noam Rotstein

Amit Bracha

Ron Kimmel

2022

Reliability of automated topographic measurements for spine deformity

Spine Deformity

Benjamin N Groisser

Howard J Hillstrom

Ankush Thakur

Kyle W Morse

Matthew Cunningham

...

2022/9

Prediction of Initial Risk Group, B/T Subtype, and ETV6-RUNX1 Translocation in Pediatric Acute Lymphoblastic Leukemia By Deep Convolutional Neural Network Analysis of Giemsa …

Blood

Gil Shamai

Ran Schley

Yoav Binenbaum

Ron Kimmel

Ronit Elhasid

2022/11/15

Partial Shape Similarity via Alignment of Multi-Metric Hamiltonian Spectra

arXiv preprint arXiv:2207.03018

David Bensaïd

Amit Bracha

Ron Kimmel

2022/7/7

See List of Professors in Ron Kimmel University(Technion - Israel Institute of Technology)

Co-Authors

H-index: 116
Guillermo Sapiro

Guillermo Sapiro

Duke University

H-index: 99
Michael Elad

Michael Elad

Technion - Israel Institute of Technology

H-index: 84
Michael Bronstein

Michael Bronstein

Imperial College London

H-index: 73
Alex Bronstein

Alex Bronstein

Technion - Israel Institute of Technology

H-index: 70
Alfred Bruckstein

Alfred Bruckstein

Technion - Israel Institute of Technology

H-index: 46
Nir Sochen

Nir Sochen

Tel Aviv University

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