Simon John Christoph Soerensen
Stanford University(US)
Publications by Year
Research Areas
Prostate Cancer Diagnosis and Treatment, Radiomics and Machine Learning in Medical Imaging, AI in cancer detection, Prostate Cancer Treatment and Research, Advanced Neural Network Applications
Most-Cited Works
- → ProsRegNet: A deep learning framework for registration of MRI and histopathology images of the prostate(2020)91 cited
- → A review of artificial intelligence in prostate cancer detection on imaging(2022)70 cited
- → Selective identification and localization of indolent and aggressive prostate cancers via CorrSigNIA: an MRI-pathology correlation and deep learning framework(2021)57 cited
- → Registration of presurgical MRI and histopathology images from radical prostatectomy via RAPSODI(2020)53 cited
- → Automated detection of aggressive and indolent prostate cancer on magnetic resonance imaging(2021)52 cited
- → 3D Registration of pre-surgical prostate MRI and histopathology images via super-resolution volume reconstruction(2021)51 cited
- → Ambient air pollution and urological cancer risk: A systematic review and meta-analysis of epidemiological evidence(2024)39 cited
- → Deep Learning Improves Speed and Accuracy of Prostate Gland Segmentations on Magnetic Resonance Imaging for Targeted Biopsy(2021)35 cited
- → Correlation of68Ga-RM2 PET with Postsurgery Histopathology Findings in Patients with Newly Diagnosed Intermediate- or High-Risk Prostate Cancer(2022)33 cited
- → Trends in pre-biopsy MRI usage for prostate cancer detection, 2007–2022(2024)19 cited