Andrew D. Trister
Publications by Year
Research Areas
Radiomics and Machine Learning in Medical Imaging, Glioma Diagnosis and Treatment, Mathematical Biology Tumor Growth, Bioinformatics and Genomic Networks, Advances in Oncology and Radiotherapy
Most-Cited Works
- → The mPower study, Parkinson disease mobile data collected using ResearchKit(2016)626 cited
- → Scaling Vision Transformers to Gigapixel Images via Hierarchical Self-Supervised Learning(2022)479 cited
- → Evaluation of Combined Artificial Intelligence and Radiologist Assessment to Interpret Screening Mammograms(2020)405 cited
- → The Use of Smartphones for Health Research(2016)173 cited
- → Remote smartphone monitoring of Parkinson’s disease and individual response to therapy(2021)135 cited
- → Toward Patient-Specific, Biologically Optimized Radiation Therapy Plans for the Treatment of Glioblastoma(2013)123 cited
- → Developing Measures of Cognitive Impairment in the Real World from Consumer-Grade Multimodal Sensor Streams(2019)121 cited
- → Patient-Specific Metrics of Invasiveness Reveal Significant Prognostic Benefit of Resection in a Predictable Subset of Gliomas(2014)113 cited
- → A patient-specific computational model of hypoxia-modulated radiation resistance in glioblastoma using 18 F-FMISO-PET(2014)106 cited
- → Discriminating Survival Outcomes in Patients with Glioblastoma Using a Simulation-Based, Patient-Specific Response Metric(2013)99 cited