Mattea L. Welch

Mattea L. Welch

University of Toronto

H-index: 10

North America-Canada

About Mattea L. Welch

Mattea L. Welch, With an exceptional h-index of 10 and a recent h-index of 10 (since 2020), a distinguished researcher at University of Toronto,

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

The Auto-Lindberg Project: Standardized Target Nomenclature in Radiation Oncology Enables Real-World Data Extraction From Radiation Treatment Plans

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

98 An open-source foundation for head and neck radiomics

168 Automated analysis of elective neck radiation therapy patterns in patients with head and neck cancer

RADCURE: An open‐source head and neck cancer CT dataset for clinical radiation therapy insights

Making head and neck cancer clinical data Findable-Accessible-Interoperable-Reusable to support multi-institutional collaboration and federated learning

FAIR-ification of structured Head and Neck Cancer clinical data for multi-institutional collaboration and federated learning

Clinical Acceptability of Artificial Intelligence-Screened Interstitial Lung Disease (AI-ILD) in Lung Cancer Patients Treated with Radiotherapy

Mattea L. Welch Information

University

Position

___

Citations(all)

907

Citations(since 2020)

870

Cited By

303

hIndex(all)

10

hIndex(since 2020)

10

i10Index(all)

11

i10Index(since 2020)

11

Email

University Profile Page

University of Toronto

Google Scholar

View Google Scholar Profile

Top articles of Mattea L. Welch

Title

Journal

Author(s)

Publication Date

The Auto-Lindberg Project: Standardized Target Nomenclature in Radiation Oncology Enables Real-World Data Extraction From Radiation Treatment Plans

International Journal of Radiation Oncology* Biology* Physics

Andrew Hope

Jun Won Kim

Michal Kazmierski

Mattea Welch

Joseph Marsilla

...

2024/1/1

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

98 An open-source foundation for head and neck radiomics

Radiotherapy and Oncology

Katy L Scott

Sejin Kim

Jermiah J Joseph

Matthew Boccalon

Mattea Welch

...

2024/3/1

168 Automated analysis of elective neck radiation therapy patterns in patients with head and neck cancer

Radiotherapy and Oncology

Joseph Marsilla

Jun Won Kim

Sejin Kim

Mattea Welch

Shao Hui Huang

...

2024/3/1

RADCURE: An open‐source head and neck cancer CT dataset for clinical radiation therapy insights

Medical Physics

Mattea L Welch

Sejin Kim

Andrew J Hope

Shao Hui Huang

Zhibin Lu

...

2024/2/16

Making head and neck cancer clinical data Findable-Accessible-Interoperable-Reusable to support multi-institutional collaboration and federated learning

BJR| Artificial Intelligence

Varsha Gouthamchand

Ananya Choudhury

Frank JP Hoebers

Frederik WR Wesseling

Mattea Welch

...

2024/1/1

FAIR-ification of structured Head and Neck Cancer clinical data for multi-institutional collaboration and federated learning

Varsha Gouthamchand

Ananya Choudhury

Frank Hoebers

Frederik Wesseling

Mattea Welch

...

2023/3/23

Clinical Acceptability of Artificial Intelligence-Screened Interstitial Lung Disease (AI-ILD) in Lung Cancer Patients Treated with Radiotherapy

International Journal of Radiation Oncology, Biology, Physics

Nicholas McNeil

Hannah Bacon

Sonja Kandel

Tirth Patel

Mattea Welch

...

2023/10/1

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

Association of Artificial Intelligence-Screened Interstitial Lung Disease with Radiation Pneumonitis and Mortality in Locally Advanced Non-Small Cell Lung Cancer

International Journal of Radiation Oncology, Biology, Physics

Hannah Bacon

Nicholas McNeil

Tirth Patel

Mattea Welch

Xiang Y Ye

...

2023/10/1

Privacy-Preserving Dashboard for FAIR Head and Neck Cancer data supporting multi-centered collaborations

Varsha Gouthamchand

Ananya Choudhury

Frank Hoebers

Frederik Wesseling

Mattea Welch

...

2023/1/1

4 Association of Artificial Intelligence-Screened Interstitial Lung Disease with Radiation Pneumonitis and Mortality in Locally Advanced Non-Small Cell Lung Cancer

Radiotherapy and Oncology

Hannah Bacon

Nicholas McNeil

Tirth Patel

Mattea Welch

Y Ye Xiang

...

2023/9/1

Multi-institutional prognostic modeling in head and neck cancer: evaluating impact and generalizability of deep learning and radiomics

Cancer Research Communications

Michal Kazmierski

Mattea Welch

Sejin Kim

Chris McIntosh

Katrina Rey-McIntyre

...

2023/6/29

OC-0509 Prospective assessment of AI screening for interstitial lung disease (ILD) in radiotherapy

Radiotherapy and Oncology

A Hope

C McIntosh

S Kandel

T Patel

M Welch

...

2023/5/1

PO-1256 Multi-domain automated lung segmentation for inflammatory lung disease (ILD) detection

Radiotherapy and Oncology

A Hope

C McIntosh

M Welch

S Kandel

T Purdie

...

2022/5/1

16: Radcure: A Large Open Source Head and Neck Radiation Therapy Dataset for Data Science

Radiotherapy and Oncology

Andrew Hope

Mattea Welch

Scott Bratman

John Waldron

Brian O’sullivan

...

2022/9/1

Radiomic analysis: study design, statistical analysis, and other bias mitigation strategies

Chaya S Moskowitz

Mattea L Welch

Michael A Jacobs

Brenda F Kurland

Amber L Simpson

2022/8

Analytics methods and tools for integration of biomedical data in medicine

Lin Zhang

Mehran Karimzadeh

Mattea Welch

Chris McIntosh

Bo Wang

2021/1/1

The Impact of the Variation of CT Scanner on the Prediction of human papillomavirus (HPV) Association of Oropharyngeal Cancer (OPC) using Radiomic models

medRxiv

Reza Reiazi

Colin Arrowsmith

Mattea Welch

Farnoosh Abbas-Aghababazadeh

Christopher Eeles

...

2021/3/8

Abstract PO-030: Radiomics for head and neck cancer prognostication: results from the RADCURE machine learning challenge

Clinical Cancer Research

Michal Kazmierski

Mattea Welch

Benjamin Haibe-Kains

2021/3/1

See List of Professors in Mattea L. Welch University(University of Toronto)