Matthew J. Nyflot, Ph.D.
Affiliations: | 2011 | University of Wisconsin, Madison, Madison, WI |
Area:
Radiation Physics, RadiologyGoogle:
"Matthew Nyflot"Mean distance: (not calculated yet)
Parents
Sign in to add mentor| Robert Jeraj | grad student | 2011 | UW Madison | |
| (Multi-modality imaging of tumor phenotype and response to therapy.) | ||||
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Publications
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| Wei L, Niraula D, Gates EDH, et al. (2023) Artificial intelligence (AI) and machine learning (ML) in precision oncology: a review on enhancing discoverability through multiomics integration. The British Journal of Radiology. 20230211 |
| Oztek MA, Mayr NA, Mossa-Basha M, et al. (2020) The Dancing Cord: Inherent Spinal Cord Motion and Its Effect on Cord Dose in Spine Stereotactic Body Radiation Therapy. Neurosurgery |
| Schaub SK, Bowen SR, Nyflot MJ, et al. (2020) Intensity-modulated proton therapy using dose-painting pencil beam scanning for high-risk hepatocellular carcinoma. Journal of Clinical Oncology. 38: 558-558 |
| Peeken JC, Bernhofer M, Spraker MB, et al. (2019) CT-based radiomic features predict tumor grading and have prognostic value in patients with soft tissue sarcomas treated with neoadjuvant radiation therapy. Radiotherapy and Oncology : Journal of the European Society For Therapeutic Radiology and Oncology |
| Havard M, Schaub S, Bowen S, et al. (2019) ALBI-RT as a Radiation Therapy Specific Hepatotoxicity Prediction Model for Hepatocellular Carcinoma Patients International Journal of Radiation Oncology*Biology*Physics. 105: E220 |
| Nyflot MJ, Thammasorn P, Wootton LS, et al. (2018) Deep learning for patient-specific quality assurance: Identifying errors in radiotherapy delivery by radiomic analysis of gamma images with convolutional neural networks. Medical Physics |
| Macomber MW, Phillips M, Tarapov I, et al. (2018) Autosegmentation of prostate anatomy for radiation treatment planning using deep decision forests of radiomic features. Physics in Medicine and Biology. 63: 235002 |
| Schaub SK, Apisarnthanarax S, Price RG, et al. (2018) Functional Liver Imaging and Dosimetry to Predict Hepatotoxicity Risk in Cirrhotic Patients with Primary Liver Cancer. International Journal of Radiation Oncology, Biology, Physics |
| Wootton LS, Nyflot MJ, Chaovalitwongse WA, et al. (2018) Error Detection in Intensity-Modulated Radiation Therapy Quality Assurance Using Radiomic Analysis of Gamma Distributions. International Journal of Radiation Oncology, Biology, Physics. 102: 219-228 |
| Price RG, Apisarnthanarax S, Schaub SK, et al. (2018) Regional radiation dose-response modeling of functional liver in hepatocellular carcinoma patients with longitudinal sulfur colloid SPECT/CT: a proof of concept. International Journal of Radiation Oncology, Biology, Physics |