Mattea L. Welch
Mattea L. Welch
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Vulnerabilities of radiomic signature development: the need for safeguards
ML Welch, C McIntosh, B Haibe-Kains, MF Milosevic, L Wee, A Dekker, ...
Radiotherapy and Oncology 130, 2-9, 2019
Fully automated treatment planning for head and neck radiotherapy using a voxel-based dose prediction and dose mimicking method
C McIntosh, M Welch, A McNiven, DA Jaffray, TG Purdie
Physics in Medicine & Biology 62 (15), 5926, 2017
Repeatability and reproducibility of MRI-based radiomic features in cervical cancer
S Fiset, ML Welch, J Weiss, M Pintilie, JL Conway, M Milosevic, A Fyles, ...
Radiotherapy and Oncology 135, 107-114, 2019
Stability of radiomic features of apparent diffusion coefficient (ADC) maps for locally advanced rectal cancer in response to image pre-processing
A Traverso, M Kazmierski, Z Shi, P Kalendralis, M Welch, HD Nissen, ...
Physica Medica 61, 44-51, 2019
Sensitivity of radiomic features to inter-observer variability and image pre-processing in Apparent Diffusion Coefficient (ADC) maps of cervix cancer patients
A Traverso, M Kazmierski, ML Welch, J Weiss, S Fiset, WD Foltz, ...
Radiotherapy and Oncology 143, 88-94, 2020
Machine learning helps identifying volume-confounding effects in radiomics
A Traverso, M Kazmierski, I Zhovannik, M Welch, L Wee, D Jaffray, ...
Physica Medica 71, 24-30, 2020
Radiomic analysis: study design, statistical analysis, and other bias mitigation strategies
CS Moskowitz, ML Welch, MA Jacobs, BF Kurland, AL Simpson
Radiology 304 (2), 265-273, 2022
Prediction of human papillomavirus (HPV) association of oropharyngeal cancer (OPC) using radiomics: The impact of the variation of CT scanner
R Reiazi, C Arrowsmith, M Welch, F Abbas-Aghababazadeh, C Eeles, ...
Cancers 13 (9), 2269, 2021
User-controlled pipelines for feature integration and head and neck radiation therapy outcome predictions
ML Welch, C McIntosh, A McNiven, SH Huang, BB Zhang, L Wee, ...
Physica Medica 70, 145-152, 2020
Multi-institutional prognostic modeling in head and neck cancer: evaluating impact and generalizability of deep learning and radiomics
M Kazmierski, M Welch, S Kim, C McIntosh, K Rey-McIntyre, SH Huang, ...
Cancer Research Communications 3 (6), 1140-1151, 2023
Automatic classification of dental artifact status for efficient image veracity checks: effects of image resolution and convolutional neural network depth
ML Welch, C McIntosh, TG Purdie, L Wee, A Traverso, A Dekker, ...
Physics in Medicine & Biology 65 (1), 015005, 2020
External validation and transfer learning of convolutional neural networks for computed tomography dental artifact classification
ML Welch, C McIntosh, A Traverso, L Wee, TG Purdie, A Dekker, ...
Physics in Medicine & Biology 65 (3), 035017, 2020
Automated detection of dental artifacts for large-scale radiomic analysis in radiation oncology
C Arrowsmith, R Reiazi, ML Welch, M Kazmierski, T Patel, A Rezaie, ...
Physics and Imaging in Radiation Oncology 18, 41-47, 2021
Reporting standards and critical appraisal of prediction models
L Wee, SMJ van Kuijk, FJWM Dankers, A Traverso, M Welch, A Dekker
Fundamentals of clinical data science, 135-150, 2019
Radiomics: the new world or another road to El Dorado?
ML Welch, DA Jaffray
JNCI: Journal of the National Cancer Institute 109 (7), djx116, 2017
The correction of time and temperature effects in MR-based 3D Fricke xylenol orange dosimetry
ML Welch, DA Jaffray
Physics in Medicine & Biology 62 (8), 3221, 2017
A high-performance liquid chromatographic assay for CI-973, a new anticancer platinum diamine complex, in human plasma and urine ultrafiltrates
WW Bullen, LD Andress, T Chang, LR Whitfield, ML Welch, RA Newman
Cancer chemotherapy and pharmacology 30, 193-198, 1992
A Machine Learning Challenge for Prognostic Modelling in Head and Neck Cancer Using Multi-modal Data
M Kazmierski, M Welch, S Kim, C McIntosh, PM Head, NC Group, ...
arXiv preprint arXiv:2101.11935, 2021
Med-ImageTools: An open-source Python package for robust data processing pipelines and curating medical imaging data
S Kim, M Kazmierski, K Qu, J Peoples, M Nakano, V Ramanathan, ...
F1000Research 12, 118, 2024
Application of artificial neural networks for prognostic modeling in lung cancer after combining radiomic and clinical features
KS Chufal, I Ahmad, AK Pahuja, AA Miller, R Singh, RL Chowdhary
Asian Journal of Oncology 5 (02), 050-055, 2019
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