Follow
Matthew Nyflot
Matthew Nyflot
Verified email at uw.edu
Title
Cited by
Cited by
Year
Quantitative radiomics: impact of stochastic effects on textural feature analysis implies the need for standards
MJ Nyflot, F Yang, D Byrd, SR Bowen, GA Sandison, PE Kinahan
Journal of medical imaging 2 (4), 041002-041002, 2015
1632015
Deep learning for patient‐specific quality assurance: Identifying errors in radiotherapy delivery by radiomic analysis of gamma images with convolutional neural networks
MJ Nyflot, P Thammasorn, LS Wootton, EC Ford, WA Chaovalitwongse
Medical physics 46 (2), 456-464, 2019
1192019
Tumor grading of soft tissue sarcomas using MRI-based radiomics
JC Peeken, MB Spraker, C Knebel, H Dapper, D Pfeiffer, M Devecka, ...
EBioMedicine 48, 332-340, 2019
842019
CT-based radiomic features predict tumor grading and have prognostic value in patients with soft tissue sarcomas treated with neoadjuvant radiation therapy
JC Peeken, M Bernhofer, MB Spraker, D Pfeiffer, M Devecka, A Thamer, ...
Radiotherapy and Oncology 135, 187-196, 2019
682019
Measurable improvement in patient safety culture: A departmental experience with incident learning
AS Kusano, MJ Nyflot, J Zeng, PA Sponseller, R Ermoian, L Jordan, ...
Practical radiation oncology 5 (3), e229-e237, 2015
662015
MRI radiomic features are independently associated with overall survival in soft tissue sarcoma
MB Spraker, LS Wootton, DS Hippe, KC Ball, JC Peeken, MW Macomber, ...
Advances in radiation oncology 4 (2), 413-421, 2019
632019
Metrics of success: Measuring impact of a departmental near-miss incident learning system
MJ Nyflot, J Zeng, AS Kusano, A Novak, TD Mullen, W Gao, L Jordan, ...
Practical radiation oncology 5 (5), e409-e416, 2015
582015
The effectiveness of pretreatment physics plan review for detecting errors in radiation therapy
O Gopan, J Zeng, A Novak, M Nyflot, E Ford
Medical physics 43 (9), 5181-5187, 2016
542016
Error detection in intensity-modulated radiation therapy quality assurance using radiomic analysis of gamma distributions
LS Wootton, MJ Nyflot, WA Chaovalitwongse, E Ford
International Journal of Radiation Oncology* Biology* Physics 102 (1), 219-228, 2018
532018
Correlation of PET images of metabolism, proliferation and hypoxia to characterize tumor phenotype in patients with cancer of the oropharynx
MJ Nyflot, PM Harari, S Yip, SB Perlman, R Jeraj
Radiotherapy and Oncology 105 (1), 36-40, 2012
492012
Phase 1 trial of bevacizumab with concurrent chemoradiation therapy for squamous cell carcinoma of the head and neck with exploratory functional imaging of tumor hypoxia …
MJ Nyflot, TJ Kruser, AM Traynor, D Khuntia, DT Yang, GK Hartig, ...
International Journal of Radiation Oncology* Biology* Physics 91 (5), 942-951, 2015
482015
Targeting safety improvements through identification of incident origination and detection in a near‐miss incident learning system
A Novak, MJ Nyflot, RP Ermoian, LE Jordan, PA Sponseller, GM Kane, ...
Medical Physics 43 (5), 2053-2062, 2016
422016
MRI-based delta-radiomics predicts pathologic complete response in high-grade soft-tissue sarcoma patients treated with neoadjuvant therapy
JC Peeken, R Asadpour, K Specht, EY Chen, O Klymenko, V Akinkuoroye, ...
Radiotherapy and Oncology 164, 73-82, 2021
412021
Differential hepatic avoidance radiation therapy: Proof of concept in hepatocellular carcinoma patients
SR Bowen, J Saini, TR Chapman, RS Miyaoka, PE Kinahan, ...
Radiotherapy and Oncology 115 (2), 203-210, 2015
362015
Challenges and opportunities in patient-specific, motion-managed and PET/CT-guided radiation therapy of lung cancer: review and perspective
SR Bowen, MJ Nyflot, M Gensheimer, KRG Hendrickson, PE Kinahan, ...
Clinical and translational medicine 1, 1-17, 2012
352012
Evaluation of near-miss and adverse events in radiation oncology using a comprehensive causal factor taxonomy
MB Spraker, R Fain III, O Gopan, J Zeng, M Nyflot, L Jordan, G Kane, ...
Practical radiation oncology 7 (5), 346-353, 2017
332017
Measuring total liver function on sulfur colloid SPECT/CT for improved risk stratification and outcome prediction of hepatocellular carcinoma patients
SR Bowen, TR Chapman, J Borgman, RS Miyaoka, PE Kinahan, IW Liou, ...
EJNMMI research 6, 1-10, 2016
312016
Development and external validation of deep-learning-based tumor grading models in soft-tissue sarcoma patients using MR imaging
F Navarro, H Dapper, R Asadpour, C Knebel, MB Spraker, V Schwarze, ...
Cancers 13 (12), 2866, 2021
302021
Toward consensus reporting of radiation-induced liver toxicity in the treatment of primary liver malignancies: Defining clinically relevant endpoints
TR Chapman, SR Bowen, SK Schaub, RH Yeung, SW Kwan, JO Park, ...
Practical radiation oncology 8 (3), 157-166, 2018
292018
Prognostic assessment in high-grade soft-tissue sarcoma patients: a comparison of semantic image analysis and radiomics
JC Peeken, J Neumann, R Asadpour, Y Leonhardt, JR Moreira, DS Hippe, ...
Cancers 13 (8), 1929, 2021
282021
The system can't perform the operation now. Try again later.
Articles 1–20