Shape-aware Segmentation of the Placenta in BOLD Fetal MRI Time Series.

Autor: Abulnaga SM; CSAIL/EECS, Massachusetts Institute of Technology, Cambridge, MA, USA; MGH/HST Martinos Center for Biomedical Imaging, Harvard Medical School, Boston, MA, USA., Dey N; CSAIL, Massachusetts Institute of Technology, Cambridge, MA, USA., Young SI; MGH/HST Martinos Center for Biomedical Imaging, Harvard Medical School, Boston, MA, USA; CSAIL, Massachusetts Institute of Technology, Cambridge, MA, USA., Pan E; CSAIL/EECS, Massachusetts Institute of Technology, Cambridge, MA, USA., Hobgood KI; CSAIL, Massachusetts Institute of Technology, Cambridge, MA, USA., Wang CJ; CSAIL/EECS, Massachusetts Institute of Technology, Cambridge, MA, USA., Grant PE; Fetal-Neonatal Neuroimaging and Developmental Science Center, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA., Turk EA; Fetal-Neonatal Neuroimaging and Developmental Science Center, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA., Golland P; CSAIL/EECS, Massachusetts Institute of Technology, Cambridge, MA, USA.

Publikováno v: The journal of machine learning for biomedical imaging [J Mach Learn Biomed Imaging] 2023 Dec; Vol. 2 (PIPPI 2022), pp. 527-546.

Corrigendum to "Placental MRI: Effect of maternal position and uterine contractions on placental BOLD MRI measurements" [Placenta 95 (2020) 69-77].

Autor: Abaci Turk E; Fetal-Neonatal Neuroimaging & Developmental Science Center, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA. Electronic address: esra.abaciturk@childrens.harvard.edu., Abulnaga SM; Computer Science and Artificial Intelligence Laboratory (CSAIL), Massachusetts Institute of Technology, Cambridge, MA, USA., Luo J; Fetal-Neonatal Neuroimaging & Developmental Science Center, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA; School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China., Stout JN; Fetal-Neonatal Neuroimaging & Developmental Science Center, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA., Feldman HA; Institutional Centers for Clinical and Translational Research, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA., Turk A; Electrical Computer Engineering Department, Boston University, Boston, MA, USA., Gagoski B; Fetal-Neonatal Neuroimaging & Developmental Science Center, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA., Wald LL; Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, USA; Radiology, Harvard Medical School, Boston, MA, United States; Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, United States., Adalsteinsson E; Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, USA; Harvard-MIT Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, MA, USA; Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA, USA., Roberts DJ; Department of Pathology, Massachusetts General Hospital, Boston, MA, USA., Bibbo C; Maternal Fetal Medicine, Brigham and Women's Hospital, Boston, MA, USA., Robinson JN; Maternal Fetal Medicine, Brigham and Women's Hospital, Boston, MA, USA., Golland P; Computer Science and Artificial Intelligence Laboratory (CSAIL), Massachusetts Institute of Technology, Cambridge, MA, USA; Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, USA., Grant PE; Fetal-Neonatal Neuroimaging & Developmental Science Center, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA., Barth WH Jr; Maternal-Fetal Medicine, Obstetrics and Gynecology, Massachusetts General Hospital, Boston, MA, USA.

Publikováno v: Placenta [Placenta] 2020 Oct; Vol. 100, pp. 171-172. Date of Electronic Publication: 2020 Aug 06.

Placental Flattening via Volumetric Parameterization.

Autor: Abulnaga SM; Computer Science and Artificial Intelligence Lab, MIT, Cambridge, MA, USA., Turk EA; Fetal-Neonatal Neuroimaging and Developmental Science Center, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA., Bessmeltsev M; Department of Computer Science and Operations Research, Université de Montréal, Montréal, QC, Canada., Grant PE; Fetal-Neonatal Neuroimaging and Developmental Science Center, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA., Solomon J; Computer Science and Artificial Intelligence Lab, MIT, Cambridge, MA, USA., Golland P; Computer Science and Artificial Intelligence Lab, MIT, Cambridge, MA, USA.

Publikováno v: Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention [Med Image Comput Comput Assist Interv] 2019 Oct; Vol. 11767, pp. 39-47. Date of Electronic Publication: 2019 Oct 10.

A toolbox to visually explore cerebellar shape changes in cerebellar disease and dysfunction.

Autor: Abulnaga SM; Electrical and Computer Engineering, The University of British Columbia, Vancouver, Canada., Yang Z; Electrical and Computer Engineering, The Johns Hopkins University, Baltimore, USA., Carass A; Electrical and Computer Engineering, The Johns Hopkins University, Baltimore, USA., Kansal K; Department of Psychiatry and Behavioral Sciences, The Johns Hopkins School of Medicine, Baltimore, USA., Jedynak BM; Department of Mathematics and Statistics, Portland State University, Portland, USA., Onyike CU; Department of Psychiatry and Behavioral Sciences, The Johns Hopkins School of Medicine, Baltimore, USA., Ying SH; Radiology, The Johns Hopkins School of Medicine, Baltimore, USA., Prince JL; Electrical and Computer Engineering, The Johns Hopkins University, Baltimore, USA.; Radiology, The Johns Hopkins School of Medicine, Baltimore, USA.

Publikováno v: Proceedings of SPIE--the International Society for Optical Engineering [Proc SPIE Int Soc Opt Eng] 2016 Feb 27; Vol. 9785. Date of Electronic Publication: 2016 Mar 24.

Assessment of a Mobile Game ("MobileKids Monster Manor") to Promote Physical Activity Among Children.

Autor: Garde A; 1 Electrical and Computer Engineering in Medicine Group, The University of British Columbia and BC Children's Hospital , Vancouver, British Columbia, Canada ., Umedaly A; 1 Electrical and Computer Engineering in Medicine Group, The University of British Columbia and BC Children's Hospital , Vancouver, British Columbia, Canada ., Abulnaga SM; 1 Electrical and Computer Engineering in Medicine Group, The University of British Columbia and BC Children's Hospital , Vancouver, British Columbia, Canada ., Robertson L; 1 Electrical and Computer Engineering in Medicine Group, The University of British Columbia and BC Children's Hospital , Vancouver, British Columbia, Canada ., Junker A; 2 Clinical and Population Studies at the Child & Family Research Institute , Vancouver, British Columbia, Canada ., Chanoine JP; 3 Endocrinology and Diabetes Unit, Department of Pediatrics, The University of British Columbia and BC Children's Hospital , Vancouver, British Columbia, Canada ., Ansermino JM; 1 Electrical and Computer Engineering in Medicine Group, The University of British Columbia and BC Children's Hospital , Vancouver, British Columbia, Canada .; 4 Anesthesiology, Pharmacology and Therapeutics, The University of British Columbia and BC Children's Hospital , Vancouver, British Columbia, Canada ., Dumont GA; 1 Electrical and Computer Engineering in Medicine Group, The University of British Columbia and BC Children's Hospital , Vancouver, British Columbia, Canada .

Publikováno v: Games for health journal [Games Health J] 2015 Apr; Vol. 4 (2), pp. 149-58.