Timothy Bergquist
Genomic Health (United States)(US)Icahn School of Medicine at Mount Sinai(US)
Publications by Year
Research Areas
Genomics and Rare Diseases, Radiomics and Machine Learning in Medical Imaging, Glioma Diagnosis and Treatment, Machine Learning in Healthcare, Long-Term Effects of COVID-19
Most-Cited Works
- → The CAFA challenge reports improved protein function prediction and new functional annotations for hundreds of genes through experimental screens(2019)468 cited
- → Characterizing Long COVID: Deep Phenotype of a Complex Condition(2021)206 cited
- → Generalisable long COVID subtypes: findings from the NIH N3C and RECOVER programmes(2022)174 cited
- → Outcomes of COVID-19 in Patients With Cancer: Report From the National COVID Cohort Collaborative (N3C)(2021)139 cited
- → Federated benchmarking of medical artificial intelligence with MedPerf(2023)112 cited
- → Risk and Outcome of Breakthrough COVID-19 Infections in Vaccinated Patients With Cancer: Real-World Evidence From the National COVID Cohort Collaborative(2022)109 cited
- → The RSNA-ASNR-MICCAI BraTS 2021 Benchmark on Brain Tumor Segmentation and Radiogenomic Classification(2021)88 cited
- → Outcomes of 92 patient-driven family studies for reclassification of variants of uncertain significance(2018)64 cited
- → Mapping genetic variations to three-dimensional protein structures to enhance variant interpretation: a proposed framework(2017)57 cited