Automated Segmentation of Lymph Nodes on Neck CT Scans Using Deep Learning.

Autor: Al Hasan MM; Radiomics and Augmented Intelligence Laboratory (RAIL), Department of Radiology and the Norman Fixel Institute for Neurological Diseases, University of Florida College of Medicine, 1600 SW Archer Road, Gainesville, FL, 32610-0374, USA.; Department of Electrical and Computer Engineering, University of Florida College of Medicine, Gainesville, FL, USA., Ghazimoghadam S; Augmented Intelligence and Precision Health Laboratory, Research Institute of the McGill University Health Centre, Montreal, QC, Canada., Tunlayadechanont P; Augmented Intelligence and Precision Health Laboratory, Research Institute of the McGill University Health Centre, Montreal, QC, Canada.; Department of Diagnostic and Therapeutic Radiology and Research, Faculty of Medicine Ramathibodi Hospital, Ratchathewi, Bangkok, Thailand., Mostafiz MT; Radiomics and Augmented Intelligence Laboratory (RAIL), Department of Radiology and the Norman Fixel Institute for Neurological Diseases, University of Florida College of Medicine, 1600 SW Archer Road, Gainesville, FL, 32610-0374, USA.; Department of Electrical and Computer Engineering, University of Florida College of Medicine, Gainesville, FL, USA., Gupta M; Radiomics and Augmented Intelligence Laboratory (RAIL), Department of Radiology and the Norman Fixel Institute for Neurological Diseases, University of Florida College of Medicine, 1600 SW Archer Road, Gainesville, FL, 32610-0374, USA., Roy A; Radiomics and Augmented Intelligence Laboratory (RAIL), Department of Radiology and the Norman Fixel Institute for Neurological Diseases, University of Florida College of Medicine, 1600 SW Archer Road, Gainesville, FL, 32610-0374, USA.; Department of Electrical and Computer Engineering, University of Florida College of Medicine, Gainesville, FL, USA., Peters K; Radiomics and Augmented Intelligence Laboratory (RAIL), Department of Radiology and the Norman Fixel Institute for Neurological Diseases, University of Florida College of Medicine, 1600 SW Archer Road, Gainesville, FL, 32610-0374, USA.; Department of Radiology, University of Florida College of Medicine, Gainesville, FL, USA., Hochhegger B; Radiomics and Augmented Intelligence Laboratory (RAIL), Department of Radiology and the Norman Fixel Institute for Neurological Diseases, University of Florida College of Medicine, 1600 SW Archer Road, Gainesville, FL, 32610-0374, USA.; Department of Radiology, University of Florida College of Medicine, Gainesville, FL, USA., Mancuso A; Radiomics and Augmented Intelligence Laboratory (RAIL), Department of Radiology and the Norman Fixel Institute for Neurological Diseases, University of Florida College of Medicine, 1600 SW Archer Road, Gainesville, FL, 32610-0374, USA.; Department of Radiology, University of Florida College of Medicine, Gainesville, FL, USA., Asadizanjani N; Radiomics and Augmented Intelligence Laboratory (RAIL), Department of Radiology and the Norman Fixel Institute for Neurological Diseases, University of Florida College of Medicine, 1600 SW Archer Road, Gainesville, FL, 32610-0374, USA.; Department of Electrical and Computer Engineering, University of Florida College of Medicine, Gainesville, FL, USA., Forghani R; Radiomics and Augmented Intelligence Laboratory (RAIL), Department of Radiology and the Norman Fixel Institute for Neurological Diseases, University of Florida College of Medicine, 1600 SW Archer Road, Gainesville, FL, 32610-0374, USA. r.forghani@ufl.edu.; Department of Radiology, University of Florida College of Medicine, Gainesville, FL, USA. r.forghani@ufl.edu.; Division of Medical Physics, University of Florida College of Medicine, Gainesville, FL, USA. r.forghani@ufl.edu.; Department of Neurology, Division of Movement Disorders, University of Florida College of Medicine, Gainesville, FL, USA. r.forghani@ufl.edu.; Augmented Intelligence and Precision Health Laboratory, Research Institute of the McGill University Health Centre, Montreal, QC, Canada. r.forghani@ufl.edu.

Publikováno v: Journal of imaging informatics in medicine [J Imaging Inform Med] 2024 Dec; Vol. 37 (6), pp. 2955-2966. Date of Electronic Publication: 2024 Jun 27.

Diurnal Pain Classification in Critically Ill Patients using Machine Learning on Accelerometry and Analgesic Data.

Autor: Sena J; Federal University of Minas Gerais/Department of Computer Science, Belo Horizonte, Brazil., Bandyopadhyay S; University of Florida/J. Crayton Pruitt Family Department of Biomedical Engineering, Gainesville, USA.; University of Florida/Intelligent Critical Care Center, Gainesville, Florida, USA., Mostafiz MT; University of Florida/J. Crayton Pruitt Family Department of Biomedical Engineering, Gainesville, USA., Davidson A; University of Florida/Intelligent Critical Care Center, Gainesville, Florida, USA.; University of Florida/Division of Nephrology, Hypertension and Renal Transplantation, Department of Medicine, College of Medicine, Gainesville, Florida, USA., Guan Z; University of Florida/Intelligent Critical Care Center, Gainesville, Florida, USA.; University of Florida/Division of Nephrology, Hypertension and Renal Transplantation, Department of Medicine, College of Medicine, Gainesville, Florida, USA., Barreto J; Federal University of Minas Gerais/Department of Computer Science, Belo Horizonte, Brazil., Ozrazgat-Baslanti T; University of Florida/Intelligent Critical Care Center, Gainesville, Florida, USA.; University of Florida/Division of Nephrology, Hypertension and Renal Transplantation, Department of Medicine, College of Medicine, Gainesville, Florida, USA., Tighe P; University of Florida/Department of Anesthesiology, College of Medicine, Gainesville, Florida., Bihorac A; University of Florida/Intelligent Critical Care Center, Gainesville, Florida, USA.; University of Florida/Division of Nephrology, Hypertension and Renal Transplantation, Department of Medicine, College of Medicine, Gainesville, Florida, USA., Schwartz WR; Federal University of Minas Gerais/Department of Computer Science, Belo Horizonte, Brazil., Rashidi P; University of Florida/J. Crayton Pruitt Family Department of Biomedical Engineering, Gainesville, USA.; University of Florida/Intelligent Critical Care Center, Gainesville, Florida, USA.

Publikováno v: IEEE International Conference on Bioinformatics and Biomedicine workshops. IEEE International Conference on Bioinformatics and Biomedicine [IEEE Int Conf Bioinform Biomed Workshops] 2023 Dec; Vol. 2023, pp. 2207-2212. Date of Electronic Publication: 2024 Jan 18.