Benjamin Razavi

ORCID: 0000-0001-9694-9461
Publications
Citations
Views
---
Saved
---
About
Contact & Profiles
Research Areas
  • AI in cancer detection
  • Anesthesia and Neurotoxicity Research
  • Medical Image Segmentation Techniques
  • Intensive Care Unit Cognitive Disorders
  • Advanced Neural Network Applications
  • Radiomics and Machine Learning in Medical Imaging
  • Medical Imaging Techniques and Applications
  • Anesthesia and Sedative Agents
  • Cell Image Analysis Techniques

University College London
2022-2023

University of London
2022

MRC Unit for Lifelong Health and Ageing
2022

Medical Research Council
2022

King's College London
2014

Echocardiography is a potential alternative to X-ray fluoroscopy in cardiac catheterization given its richness soft tissue information and lack of ionizing radiation. However, small field view acoustic artifacts make direct automatic segmentation the catheters very challenging. In this study, fast catheter framework for echocardiographic imaging guided by corresponding fluoroscopic proposed. The complete consists of: 1) initialization first frame; 2) tracking rest sequence; 3) registration...

10.1109/tmi.2014.2360988 article EN cc-by IEEE Transactions on Medical Imaging 2014-09-30

Digitization of pathology has been proposed as an essential mitigation strategy for the severe staffing crisis facing most departments. Despite its benefits, several barriers have prevented widespread adoption digital workflows, including cost and pathologist reluctance due to subjective image quality concerns. In this work, we quantitatively determine minimum requirements binary classification histopathology images breast tissue in terms spatial sampling resolution. We train ensemble deep...

10.1016/j.media.2023.102891 article EN cc-by Medical Image Analysis 2023-07-13
Coming Soon ...