Frank Setzer

ORCID: 0000-0003-0834-1398
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About
Contact & Profiles
Research Areas
  • Endodontics and Root Canal Treatments
  • Dental Radiography and Imaging
  • Pleural and Pulmonary Diseases
  • Dental materials and restorations
  • Dental Implant Techniques and Outcomes
  • Dental Trauma and Treatments
  • Dental Anxiety and Anesthesia Techniques
  • Airway Management and Intubation Techniques
  • Clinical practice guidelines implementation
  • Advanced X-ray and CT Imaging
  • Lung Cancer Diagnosis and Treatment
  • Advances in Oncology and Radiotherapy
  • Dental Research and COVID-19
  • Intramuscular injections and effects
  • Anesthesia and Pain Management
  • Plant-based Medicinal Research
  • Oral microbiology and periodontitis research
  • Oral and Maxillofacial Pathology
  • dental development and anomalies
  • Meta-analysis and systematic reviews
  • Radiomics and Machine Learning in Medical Imaging
  • Occupational health in dentistry
  • Oral health in cancer treatment
  • Medical Imaging Techniques and Applications
  • Cardiac, Anesthesia and Surgical Outcomes

University of Pennsylvania
2016-2025

Research Network (United States)
2021

American Association of Endodontists
2009-2021

Penn Center for AIDS Research
2016-2021

Clinical Research Management
2016

Regenerative Medicine Institute
2016

Philadelphia University
2014

Compared with the rapidly growing artificial intelligence (AI) research in other branches of healthcare, pace developing AI capacities dental care is relatively slow. Dental automation, especially automated capability for cone beam computed tomography (CBCT) segmentation and lesion detection, highly needed. CBCT an important imaging modality that experiencing ever-growing utilization various specialties. However, little has been done segmenting different structures, restorative materials,...

10.1109/tase.2020.3025871 article EN publisher-specific-oa IEEE Transactions on Automation Science and Engineering 2020-10-09
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