Amber L. Simpson

Amber L. Simpson

Queens University

H-index: 34

Asia-Bangladesh

About Amber L. Simpson

Amber L. Simpson, With an exceptional h-index of 34 and a recent h-index of 31 (since 2020), a distinguished researcher at Queens University, specializes in the field of artifical intelligence, biomedical data science, uncertainty analysis, radiomics, image processing.

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

Machine Learning Detection and Characterization of Splenic Injuries on Abdominal Computed Tomography

Fes-deficient macrophages enhance CD8+ T cell priming and tumour control through increased proinflammatory cytokine production and presentation

Use of Response Permutation to Measure an Imaging Dataset’s Susceptibility to Overfitting by Selected Standard Analysis Pipelines

Tumor Size Is Not Everything: Advancing Radiomics as a Precision Medicine Biomarker in Oncology Drug Development and Clinical Care. A Report of a Multidisciplinary Workshop …

Medical image synthesis via conditional GANs: Application to segmenting brain tumours

Preoperative CT and survival data for patients undergoing resection of colorectal liver metastases

Attention-based CT scan interpolation for lesion segmentation of colorectal liver metastases

Parameter-Efficient Methods for Metastases Detection from Clinical Notes

Amber L. Simpson Information

University

Position

Canada Research Chair in Biomedical Computing and Informatics

Citations(all)

5223

Citations(since 2020)

4504

Cited By

1812

hIndex(all)

34

hIndex(since 2020)

31

i10Index(all)

70

i10Index(since 2020)

58

Email

University Profile Page

Queens University

Google Scholar

View Google Scholar Profile

Amber L. Simpson Skills & Research Interests

artifical intelligence

biomedical data science

uncertainty analysis

radiomics

image processing

Top articles of Amber L. Simpson

Title

Journal

Author(s)

Publication Date

Machine Learning Detection and Characterization of Splenic Injuries on Abdominal Computed Tomography

Canadian Association of Radiologists Journal

Mohammad Hamghalam

Robert Moreland

David Gomez

Amber Simpson

Hui Ming Lin

...

2024/1/8

Fes-deficient macrophages enhance CD8+ T cell priming and tumour control through increased proinflammatory cytokine production and presentation

bioRxiv

Brian J Laight

Natasha Dmytryk

Danielle Harper

Connie S Zhang

Andrew Garven

...

2024

Use of Response Permutation to Measure an Imaging Dataset’s Susceptibility to Overfitting by Selected Standard Analysis Pipelines

Academic Radiology

Jayasree Chakraborty

Abhishek Midya

Brenda F Kurland

Mattea L Welch

Mithat Gonen

...

2024/4/12

Tumor Size Is Not Everything: Advancing Radiomics as a Precision Medicine Biomarker in Oncology Drug Development and Clinical Care. A Report of a Multidisciplinary Workshop …

JCO Precision Oncology

Erica C Nakajima

Amber Simpson

Jan Bogaerts

Elisabeth GE de Vries

Richard Do

...

2024/4

Medical image synthesis via conditional GANs: Application to segmenting brain tumours

Computers in Biology and Medicine

Mohammad Hamghalam

Amber L Simpson

2024/3/1

Preoperative CT and survival data for patients undergoing resection of colorectal liver metastases

Scientific Data

Amber L Simpson

Jacob Peoples

John M Creasy

Gabor Fichtinger

Natalie Gangai

...

2024/2/6

Attention-based CT scan interpolation for lesion segmentation of colorectal liver metastases

Mohammad Hamghalam

Richard KG Do

Amber L Simpson

2023/4/10

Parameter-Efficient Methods for Metastases Detection from Clinical Notes

Canadian Conference on Artificial Intelligence

Maede Ashofteh Barabadi

Xiaodan Zhu

Wai Yip Chan

Richard Kinh Do

Amber L. Simpson

2023/6/5

Computerized diagnosis of liver tumors from CT scans using a deep neural network approach

IEEE Journal of Biomedical and Health Informatics

Abhishek Midya

Jayasree Chakraborty

Rami Srouji

Raja R Narayan

Thomas Boerner

...

2023/2/23

Applying Natural Language Processing to Single-Report Prediction of Metastatic Disease Response Using the OR-RADS Lexicon

Cancers

Lydia Elbatarny

Richard KG Do

Natalie Gangai

Firas Ahmed

Shalini Chhabra

...

2023/10/10

Med-ImageTools: An open-source Python package for robust data processing pipelines and curating medical imaging data

F1000Research

Sejin Kim

Michal Kazmierski

Kevin Qu

Jacob Peoples

Minoru Nakano

...

2023/2/1

Leveraging Contrastive Learning with SimSiam for the Classification of Primary and Secondary Liver Cancers

Ramtin Mojtahedi

Mohammad Hamghalam

William R Jarnagin

Richard KG Do

Amber L Simpson

2023/10/8

The association between COVID-19 and changes in opioid prescribing patterns and opioid-related overdoses: a retrospective cohort study

Canadian Journal of Pain

Alexandra Robins

Alan Dimitriev

Cameron MacKay

Hayden Wang

Abigail Kearney

...

2023/12/31

Federated learning enables big data for rare cancer boundary detection (vol 13, 7346, 2022)

Nature communications

Sarthak Pati

Ujjwal Baid

Brandon Edwards

Micah Sheller

Shih-Han Wang

...

2022/12/5

Examining the Effects of Slice Thickness on the Reproducibility of CT Radiomics for Patients with Colorectal Liver Metastases

Jacob J Peoples

Mohammad Hamghalam

Imani James

Maida Wasim

Natalie Gangai

...

2023/10/7

Mechanisms of Exercise Intolerance Across the Breast Cancer Continuum: A Pooled Analysis of Individual Patient Data.

Medicine and Science in Sports and Exercise

Jessica M Scott

Jasme Lee

Meghan G Michalski

Karen Batch

Amber L Simpson

...

2023/11/27

Author Correction: Federated learning enables big data for rare cancer boundary detection

Nature communications

Sarthak Pati

Ujjwal Baid

Brandon Edwards

Micah Sheller

Shih-Han Wang

...

2023/1/26

The RSNA Cervical Spine Fracture CT Dataset.

Radiology: Artificial Intelligence

Robyn Ball

Ekim Gumeler

Kristen Yeom

Mohammad Hamghalam

Amber Simpson

...

2023/9/1

Quantitation of Oncologic Image Features for Radiomic Analyses in PET

Travis L Williams

Mithat Gonen

Rick Wray

Richard KG Do

Amber L Simpson

2023/11/26

Radiomics artificial intelligence modelling for prediction of local control for colorectal liver metastases treated with radiotherapy

Physics and Imaging in Radiation Oncology

Ricky Hu

Ishita Chen

Jacob Peoples

Jean-Paul Salameh

Mithat Gönen

...

2022/10/1

See List of Professors in Amber L. Simpson University(Queens University)

Co-Authors

H-index: 49
Keyvan Farahani

Keyvan Farahani

Johns Hopkins University

H-index: 41
Randy Ellis

Randy Ellis

Queens University

H-index: 29
Jared A. Weis

Jared A. Weis

Wake Forest University

H-index: 19
Burton Ma

Burton Ma

York University

H-index: 18
Rikiya Yamashita

Rikiya Yamashita

Stanford University

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