Christopher Kanan

Christopher Kanan

Rochester Institute of Technology

H-index: 40

North America-United States

About Christopher Kanan

Christopher Kanan, With an exceptional h-index of 40 and a recent h-index of 38 (since 2020), a distinguished researcher at Rochester Institute of Technology, specializes in the field of Artificial Intelligence, Deep Learning, Computer Vision, Cognitive Science.

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

Systems and methods for processing images to prepare slides for processed images for digital pathology

Systems and methods to process electronic images for continuous biomarker prediction

Systems and methods for processing electronic images to detect contamination in specimen preparations

Abstract GS03-04: Novel Mechanisms of CDH1 Inactivation in Breast Invasive Lobular Carcinoma Unveiled by the Integration of Artificial Intelligence and Genomics

Joint Breast Neoplasm Detection and Subtyping using Multi-Resolution Network Trained on Large-Scale H&E Whole Slide Images with Weak Labels

Systems and methods for processing images to classify the processed images for digital pathology

Systems and methods to process electronic images to produce a tissue map visualization

DMC4ML: Data Movement Complexity for Machine Learning

Christopher Kanan Information

University

Position

Paige | Cornell Tech |

Citations(all)

9825

Citations(since 2020)

8637

Cited By

3762

hIndex(all)

40

hIndex(since 2020)

38

i10Index(all)

65

i10Index(since 2020)

61

Email

University Profile Page

Rochester Institute of Technology

Google Scholar

View Google Scholar Profile

Christopher Kanan Skills & Research Interests

Artificial Intelligence

Deep Learning

Computer Vision

Cognitive Science

Top articles of Christopher Kanan

Title

Journal

Author(s)

Publication Date

Systems and methods for processing images to prepare slides for processed images for digital pathology

2024/1/9

Systems and methods to process electronic images for continuous biomarker prediction

2024/2/13

Systems and methods for processing electronic images to detect contamination in specimen preparations

2023/1/5

Abstract GS03-04: Novel Mechanisms of CDH1 Inactivation in Breast Invasive Lobular Carcinoma Unveiled by the Integration of Artificial Intelligence and Genomics

Cancer Research

Fresia Pareja

Higinio Dopeso

Yikan Wang

Andrea Gazzo

David Brown

...

2024/5/2

Joint Breast Neoplasm Detection and Subtyping using Multi-Resolution Network Trained on Large-Scale H&E Whole Slide Images with Weak Labels

Adam Casson

Siqi Liu

Ran A Godrich

Hamed Aghdam

Brandon Rothrock

...

2024/1/23

Systems and methods for processing images to classify the processed images for digital pathology

2024/2/6

Systems and methods to process electronic images to produce a tissue map visualization

2022/11/24

DMC4ML: Data Movement Complexity for Machine Learning

arXiv preprint arXiv:2312.14441

Chen Ding

Christopher Kanan

Dylan McKellips

Toranosuke Ozawa

Arian Shahmirza

...

2023/12/22

Spatial and Temporal Attention-based emotion estimation on HRI-AVC dataset

Karthik Subramanian

Saurav Singh

Justin Namba

Jamison Heard

Christopher Kanan

...

2023/10/1

GRASP: A Rehearsal Policy for Efficient Online Continual Learning

arXiv preprint arXiv:2308.13646

Md Yousuf Harun

Jhair Gallardo

Christopher Kanan

2023/8/25

BloomVQA: Assessing Hierarchical Multi-modal Comprehension

arXiv preprint arXiv:2312.12716

Yunye Gong

Robik Shrestha

Jared Claypoole

Michael Cogswell

Arijit Ray

...

2023/12/20

How Efficient Are Today's Continual Learning Algorithms?

Md Yousuf Harun

Jhair Gallardo

Tyler L Hayes

Christopher Kanan

2023

Systems and methods for processing digital images to adapt to color vision deficiency

2023/6/22

Continual learning: Applications and the road forward

arXiv preprint arXiv:2311.11908

Eli Verwimp

Shai Ben-David

Matthias Bethge

Andrea Cossu

Alexander Gepperth

...

2023/11/20

SIESTA: Efficient Online Continual Learning with Sleep

arXiv preprint arXiv:2303.10725

Md Yousuf Harun

Jhair Gallardo

Tyler L Hayes

Ronald Kemker

Christopher Kanan

2023/3/19

Understanding the Benefits of Image Augmentations

arXiv preprint arXiv:2306.06254

Matthew Iceland

Christopher Kanan

2023/6/9

2328P Alternative molecular mechanisms underpinning breast invasive lobular carcinoma identified by genomics-driven artificial intelligence model

Annals of Oncology

F Pareja

H Dopeso

YK Wang

A Gazzo

D Brown

...

2023/10/1

Semantic segmentation with active semi-supervised learning

Aneesh Rangnekar

Christopher Kanan

Matthew Hoffman

2023

Overcoming the Stability Gap in Continual Learning

arXiv preprint arXiv:2306.01904

Md Yousuf Harun

Christopher Kanan

2023/6/2

Clinical validation of artificial intelligence–augmented pathology diagnosis demonstrates significant gains in diagnostic accuracy in prostate cancer detection

Archives of Pathology & Laboratory Medicine

Patricia Raciti

Jillian Sue

Juan A Retamero

Rodrigo Ceballos

Ran Godrich

...

2023/10/1

See List of Professors in Christopher Kanan University(Rochester Institute of Technology)

Co-Authors

H-index: 63
Garrison W.  Cottrell

Garrison W. Cottrell

University of California, San Diego

H-index: 50
Prof Dr Stefan Wermter

Prof Dr Stefan Wermter

Universität Hamburg

H-index: 39
Thomas J. Fuchs

Thomas J. Fuchs

Icahn School of Medicine at Mount Sinai

H-index: 34
Jeff B. Pelz

Jeff B. Pelz

Rochester Institute of Technology

H-index: 19
German I. Parisi

German I. Parisi

Universität Hamburg

H-index: 17
Reynold Bailey

Reynold Bailey

Rochester Institute of Technology

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