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Raghav Mehta

Raghav Mehta

McGill University

H-index: 11

North America-Canada

Contact Raghav Mehta

About Raghav Mehta

Raghav Mehta, With an exceptional h-index of 11 and a recent h-index of 11 (since 2020), a distinguished researcher at McGill University, specializes in the field of Medical Image Processing, Deep learning, Machine Learning, Responsible AI, Trustworthy AI.

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

Current AI applications in neurology: Brain imaging

Debiasing Counterfactuals in the Presence of Spurious Correlations

Uncertainty for Safe Utilization of Machine Learning in Medical Imaging: 5th International Workshop, UNSURE 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada …

Mitigating Calibration Bias Without Fixed Attribute Grouping for Improved Fairness in Medical Imaging Analysis

Improving Image-Based Precision Medicine with Uncertainty-Aware Causal Models

Evaluating the fairness of deep learning uncertainty estimates in medical image analysis

Integrating Bayesian deep learning uncertainties in medical image analysis

Confusing Large Models by Confusing Small Models

Raghav Mehta Information

University

Position

___

Citations(all)

501

Citations(since 2020)

472

Cited By

162

hIndex(all)

11

hIndex(since 2020)

11

i10Index(all)

11

i10Index(since 2020)

11

Email

University Profile Page

Google Scholar

Raghav Mehta Skills & Research Interests

Medical Image Processing

Deep learning

Machine Learning

Responsible AI

Trustworthy AI

Top articles of Raghav Mehta

Current AI applications in neurology: Brain imaging

Journal of the Neurological Sciences

2023/12/1

Tal Arbel
Tal Arbel

H-Index: 24

Raghav Mehta
Raghav Mehta

H-Index: 5

Nick Pawlowski
Nick Pawlowski

H-Index: 14

Debiasing Counterfactuals in the Presence of Spurious Correlations

2023/10/8

Amar Kumar
Amar Kumar

H-Index: 6

Nima Fathi
Nima Fathi

H-Index: 7

Raghav Mehta
Raghav Mehta

H-Index: 5

Tal Arbel
Tal Arbel

H-Index: 24

Uncertainty for Safe Utilization of Machine Learning in Medical Imaging: 5th International Workshop, UNSURE 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada …

5th International Workshop, UNSURE 2023, Held in Conjunction with MICCAI 2023

2023/10/7

Raghav Mehta
Raghav Mehta

H-Index: 5

Adrian Dalca
Adrian Dalca

H-Index: 20

Mitigating Calibration Bias Without Fixed Attribute Grouping for Improved Fairness in Medical Imaging Analysis

2023/10/1

Changjian Shui
Changjian Shui

H-Index: 4

Justin Szeto
Justin Szeto

H-Index: 1

Raghav Mehta
Raghav Mehta

H-Index: 5

Tal Arbel
Tal Arbel

H-Index: 24

Improving Image-Based Precision Medicine with Uncertainty-Aware Causal Models

2023/10/1

Raghav Mehta
Raghav Mehta

H-Index: 5

Nick Pawlowski
Nick Pawlowski

H-Index: 14

Tal Arbel
Tal Arbel

H-Index: 24

Evaluating the fairness of deep learning uncertainty estimates in medical image analysis

2023/7/10

Raghav Mehta
Raghav Mehta

H-Index: 5

Changjian Shui
Changjian Shui

H-Index: 4

Tal Arbel
Tal Arbel

H-Index: 24

Integrating Bayesian deep learning uncertainties in medical image analysis

2023

Raghav Mehta
Raghav Mehta

H-Index: 5

Confusing Large Models by Confusing Small Models

2023

Vítor Albiero
Vítor Albiero

H-Index: 6

Raghav Mehta
Raghav Mehta

H-Index: 5

Ivan Evtimov
Ivan Evtimov

H-Index: 3

Samuel Bell
Samuel Bell

H-Index: 5

You Only Need a Good Embeddings Extractor to Fix Spurious Correlations

ECCV Responsible Computer Vision Workshop

2022/12/12

Raghav Mehta
Raghav Mehta

H-Index: 5

Vítor Albiero
Vítor Albiero

H-Index: 6

Li Chen
Li Chen

H-Index: 44

Ivan Evtimov
Ivan Evtimov

H-Index: 3

Zhiheng Li
Zhiheng Li

H-Index: 3

Rethinking Generalization: The Impact of Annotation Style on Medical Image Segmentation

Journal of Machine Learning for Biomedical Imaging (MELBA). 2022:029

2022/12

Jillian Cardinell
Jillian Cardinell

H-Index: 2

Justin Szeto
Justin Szeto

H-Index: 1

Raghav Mehta
Raghav Mehta

H-Index: 5

Tal Arbel
Tal Arbel

H-Index: 24

Information gain sampling for active learning in medical image classification

2022/9/14

Raghav Mehta
Raghav Mehta

H-Index: 5

Changjian Shui
Changjian Shui

H-Index: 4

Tal Arbel
Tal Arbel

H-Index: 24

QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation--Analysis of Ranking Scores and Benchmarking Results

The journal of machine learning for biomedical imaging

2022/8

Raghav Mehta
Raghav Mehta

H-Index: 5

Angelos Filos
Angelos Filos

H-Index: 5

Ujjwal Baid
Ujjwal Baid

H-Index: 7

Richard Mckinley
Richard Mckinley

H-Index: 15

Michael Rebsamen
Michael Rebsamen

H-Index: 5

Gowtham Krishnan Murugesan
Gowtham Krishnan Murugesan

H-Index: 5

Sahil Nalawade
Sahil Nalawade

H-Index: 4

Laura Daza
Laura Daza

H-Index: 5

Shuo Wang
Shuo Wang

H-Index: 31

Subhashis Banerjee
Subhashis Banerjee

H-Index: 13

Tufve Nyholm
Tufve Nyholm

H-Index: 23

Veronica Vilaplana
Veronica Vilaplana

H-Index: 13

Alan Wang
Alan Wang

H-Index: 2

Jay Patel
Jay Patel

H-Index: 5

Ken Chang
Ken Chang

H-Index: 18

Katharina Hoebel
Katharina Hoebel

H-Index: 6

Sharut Gupta
Sharut Gupta

H-Index: 3

Mehak Aggarwal
Mehak Aggarwal

H-Index: 2

Praveer Singh
Praveer Singh

H-Index: 10

Jayashree Kalpathy-Cramer
Jayashree Kalpathy-Cramer

H-Index: 37

Md Monibor Rahman
Md Monibor Rahman

H-Index: 3

Jun Ma
Jun Ma

H-Index: 25

Xavier Llado
Xavier Llado

H-Index: 31

Arnau Oliver
Arnau Oliver

H-Index: 30

Sergi Valverde
Sergi Valverde

H-Index: 18

Xue Feng
Xue Feng

H-Index: 14

Abhishek Mahajan
Abhishek Mahajan

H-Index: 1

Andras Jakab
Andras Jakab

H-Index: 12

Arash Nazeri
Arash Nazeri

H-Index: 17

Daniel Marcus
Daniel Marcus

H-Index: 38

Yarin Gal
Yarin Gal

H-Index: 29

Tal Arbel
Tal Arbel

H-Index: 24

Sub-cortical structure segmentation database for young population

arXiv preprint arXiv:2111.01561

2021/11/1

Jayanthi Sivaswamy
Jayanthi Sivaswamy

H-Index: 25

Raghav Mehta
Raghav Mehta

H-Index: 5

Propagating uncertainty across cascaded medical imaging tasks for improved deep learning inference

IEEE Transactions on Medical Imaging

2021/9/20

Raghav Mehta
Raghav Mehta

H-Index: 5

Mallar Chakravarty
Mallar Chakravarty

H-Index: 56

Yarin Gal
Yarin Gal

H-Index: 29

Tal Arbel
Tal Arbel

H-Index: 24

Had-net: A hierarchical adversarial knowledge distillation network for improved enhanced tumour segmentation without post-contrast images

2021/8/25

Raghav Mehta
Raghav Mehta

H-Index: 5

Tal Arbel
Tal Arbel

H-Index: 24

Cohort Bias Adaptation in Aggregated Datasets for Lesion Segmentation

2021/10/1

Jillian Cardinell
Jillian Cardinell

H-Index: 2

Justin Szeto
Justin Szeto

H-Index: 1

Raghav Mehta
Raghav Mehta

H-Index: 5

Tal Arbel
Tal Arbel

H-Index: 24

Uncertainty Evaluation Metric for Brain Tumour Segmentation

Medical Imaging with Deep Learning (MIDL) 2020 short papers

2020/5/28

Raghav Mehta
Raghav Mehta

H-Index: 5

Angelos Filos
Angelos Filos

H-Index: 5

Yarin Gal
Yarin Gal

H-Index: 29

Tal Arbel
Tal Arbel

H-Index: 24

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