Mattea Welch

1.3k total citations
28 papers, 854 citations indexed

About

Mattea Welch is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Mattea Welch has authored 28 papers receiving a total of 854 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Radiology, Nuclear Medicine and Imaging, 8 papers in Biomedical Engineering and 7 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Mattea Welch's work include Radiomics and Machine Learning in Medical Imaging (18 papers), Medical Imaging Techniques and Applications (7 papers) and MRI in cancer diagnosis (5 papers). Mattea Welch is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (18 papers), Medical Imaging Techniques and Applications (7 papers) and MRI in cancer diagnosis (5 papers). Mattea Welch collaborates with scholars based in Canada, Netherlands and United States. Mattea Welch's co-authors include David A. Jaffray, Chris McIntosh, Thomas G. Purdie, Leonard Wee, André Dekker, Michael Milosevic, Andrea McNiven, Alberto Traverso, Benjamin Haibe‐Kains and Shao Hui Huang and has published in prestigious journals such as Radiology, Clinical Cancer Research and International Journal of Radiation Oncology*Biology*Physics.

In The Last Decade

Mattea Welch

26 papers receiving 847 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mattea Welch Canada 12 691 279 269 154 126 28 854
Sarah A. Mattonen Canada 13 796 1.2× 214 0.8× 457 1.7× 81 0.5× 171 1.4× 36 963
R. Berenguer Spain 10 470 0.7× 208 0.7× 197 0.7× 83 0.5× 68 0.5× 20 632
Sonia Skamene Canada 9 718 1.0× 222 0.8× 328 1.2× 31 0.2× 141 1.1× 21 923
Mi Huang United States 10 403 0.6× 119 0.4× 195 0.7× 57 0.4× 61 0.5× 10 505
Sergey Primakov Netherlands 15 828 1.2× 328 1.2× 247 0.9× 25 0.2× 211 1.7× 25 1.0k
Pengfei Yang China 16 832 1.2× 220 0.8× 402 1.5× 32 0.2× 89 0.7× 38 1.1k
Mu‐Han Lin United States 17 658 1.0× 250 0.9× 466 1.7× 773 5.0× 74 0.6× 104 993
Sonja Stieb Switzerland 15 399 0.6× 108 0.4× 265 1.0× 150 1.0× 57 0.5× 43 650
Michael Dohopolski United States 14 227 0.3× 67 0.2× 196 0.7× 176 1.1× 56 0.4× 56 497
M Jermoumi United States 4 586 0.8× 228 0.8× 241 0.9× 47 0.3× 115 0.9× 9 668

Countries citing papers authored by Mattea Welch

Since Specialization
Citations

This map shows the geographic impact of Mattea Welch's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Mattea Welch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mattea Welch more than expected).

Fields of papers citing papers by Mattea Welch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mattea Welch. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Mattea Welch. The network helps show where Mattea Welch may publish in the future.

Co-authorship network of co-authors of Mattea Welch

This figure shows the co-authorship network connecting the top 25 collaborators of Mattea Welch. A scholar is included among the top collaborators of Mattea Welch based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mattea Welch. Mattea Welch is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Patel, Tirth, Mattea Welch, Xiang Y. Ye, et al.. (2025). Association of artificial intelligence-screened interstitial lung disease with radiation pneumonitis in locally advanced non-small cell lung cancer. Radiotherapy and Oncology. 212. 111144–111144. 1 indexed citations
2.
Chakraborty, Jayasree, Abhishek Midya, Brenda F. Kurland, et al.. (2024). Use of Response Permutation to Measure an Imaging Dataset’s Susceptibility to Overfitting by Selected Standard Analysis Pipelines. Academic Radiology. 31(9). 3590–3596. 3 indexed citations
3.
Welch, Mattea, Chris McIntosh, Shao Hui Huang, et al.. (2023). Multi-institutional Prognostic Modeling in Head and Neck Cancer: Evaluating Impact and Generalizability of Deep Learning and Radiomics. Cancer Research Communications. 3(6). 1140–1151. 18 indexed citations
4.
Hope, Andrew, Chris McIntosh, Sonja Kandel, et al.. (2023). OC-0509 Prospective assessment of AI screening for interstitial lung disease (ILD) in radiotherapy. Radiotherapy and Oncology. 182. S417–S418. 1 indexed citations
5.
Moskowitz, Chaya S., Mattea Welch, Michael A. Jacobs, Brenda F. Kurland, & Amber L. Simpson. (2022). Radiomic Analysis: Study Design, Statistical Analysis, and Other Bias Mitigation Strategies. Radiology. 304(2). 265–273. 45 indexed citations
6.
Arrowsmith, Colin, Reza Reiazi, Mattea Welch, et al.. (2021). Automated detection of dental artifacts for large-scale radiomic analysis in radiation oncology. Physics and Imaging in Radiation Oncology. 18. 41–47. 6 indexed citations
7.
Reiazi, Reza, Colin Arrowsmith, Mattea Welch, et al.. (2021). Prediction of Human Papillomavirus (HPV) Association of Oropharyngeal Cancer (OPC) Using Radiomics: The Impact of the Variation of CT Scanner. Cancers. 13(9). 2269–2269. 11 indexed citations
8.
Traverso, Alberto, Ivan Zhovannik, Mattea Welch, et al.. (2020). Machine learning helps identifying volume-confounding effects in radiomics. Physica Medica. 71. 24–30. 50 indexed citations
9.
Welch, Mattea, Chris McIntosh, Andrea McNiven, et al.. (2020). User-controlled pipelines for feature integration and head and neck radiation therapy outcome predictions. Physica Medica. 70. 145–152. 19 indexed citations
10.
Traverso, Alberto, Zhenwei Shi, Petros Kalendralis, et al.. (2019). Stability of radiomic features of apparent diffusion coefficient (ADC) maps for locally advanced rectal cancer in response to image pre-processing. Physica Medica. 61. 44–51. 48 indexed citations
11.
Traverso, Alberto, Mattea Welch, Jessica Weiss, et al.. (2019). Sensitivity of radiomic features to inter-observer variability and image pre-processing in Apparent Diffusion Coefficient (ADC) maps of cervix cancer patients. Radiotherapy and Oncology. 143. 88–94. 55 indexed citations
12.
Welch, Mattea, Chris McIntosh, Alberto Traverso, et al.. (2019). External validation and transfer learning of convolutional neural networks for computed tomography dental artifact classification. Physics in Medicine and Biology. 65(3). 35017–35017. 12 indexed citations
13.
Welch, Mattea, Jessica Weiss, Melania Pintilie, et al.. (2019). Repeatability and reproducibility of MRI-based radiomic features in cervical cancer. Radiotherapy and Oncology. 135. 107–114. 114 indexed citations
14.
Welch, Mattea, Chris McIntosh, Thomas G. Purdie, et al.. (2019). Automatic classification of dental artifact status for efficient image veracity checks: effects of image resolution and convolutional neural network depth. Physics in Medicine and Biology. 65(1). 15005–15005. 8 indexed citations
15.
Welch, Mattea, Chris McIntosh, Benjamin Haibe‐Kains, et al.. (2018). Vulnerabilities of radiomic signature development: The need for safeguards. Radiotherapy and Oncology. 130. 2–9. 220 indexed citations
16.
Moult, Eric M., András Lassó, Tamás Ungi, et al.. (2017). Improved Temporal Calibration of Tracked Ultrasound: An Open-Source Solution. 2(4). 1750008–1750008. 2 indexed citations
17.
McIntosh, Chris, Mattea Welch, Andrea McNiven, David A. Jaffray, & Thomas G. Purdie. (2017). Fully automated treatment planning for head and neck radiotherapy using a voxel-based dose prediction and dose mimicking method. Physics in Medicine and Biology. 62(15). 5926–5944. 141 indexed citations
18.
Welch, Mattea & David A. Jaffray. (2017). The correction of time and temperature effects in MR-based 3D Fricke xylenol orange dosimetry. Physics in Medicine and Biology. 62(8). 3221–3236. 5 indexed citations
19.
Moult, Eric M., Tamás Ungi, Mattea Welch, et al.. (2013). Ultrasound-guided facet joint injection training using Perk Tutor. International Journal of Computer Assisted Radiology and Surgery. 8(5). 831–836. 32 indexed citations
20.
Ungi, Tamás, Purang Abolmaesumi, Mattea Welch, et al.. (2012). Spinal Needle Navigation by Tracked Ultrasound Snapshots. IEEE Transactions on Biomedical Engineering. 59(10). 2766–2772. 47 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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