Daniel H. Turnbull

New York University — United States

Medicine · Health Sciences

48h-index9.2kcitations172works1.02yr avg
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Research Topics

Ultrasound Imaging and Elastography(42), Congenital heart defects research(42), Ultrasound and Hyperthermia Applications(24), Ultrasonics and Acoustic Wave Propagation(18), Photoacoustic and Ultrasonic Imaging(16)

Publications172 total

Mouse Cardiovascular Imaging
Current Protocols·2024· 1 citedOpen Access
Assignment of signal to cell type in MEMRI of the cerebellum
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition·2023
Cell specificity of Manganese-enhanced MRI signal in the cerebellum
NeuroImage·2023· 4 citedOpen Access
Towards reliable reconstruction of the mouse brain corticothalamic connectivity using diffusion MRI
NeuroImage·2023· 15 citedOpen Access
Towards reliable reconstruction of the mouse brain thalamocortical connectivity using diffusion MRI
2022Open Access
Longitudinal in Utero Analysis of Engrailed-1 Knockout Mouse Embryonic Phenotypes Using High-Frequency Ultrasound
Ultrasound in Medicine & Biology·2022· 4 citedOpen Access
Aboriginal cultural values framework: producing and communicating Bunurong values and meanings within Bunurong Country
Cultural Geographies·2022· 3 cited
Prevention is better than cure: Understanding metabolic syndrome (MetS) and the occupational risks for perioperative nurses
Journal of Perioperative Nursing·2021Open Access
A Deep Learning Approach for Segmentation, Classification, and Visualization of 3-D High-Frequency Ultrasound Images of Mouse Embryos
IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control·2021· 19 citedOpen Access
Cultural heritage significance – not to be muted or trifled with
Figshare·2021Open Access
CSF1R inhibition depletes tumor-associated macrophages and attenuates tumor progression in a mouse sonic Hedgehog-Medulloblastoma model
Oncogene·2020· 80 citedOpen Access
Scanner Independent Deep Learning-Based Segmentation Framework Applied to Mouse Embryos
2020· 1 cited
Longitudinal MEMRI analysis of brain phenotypes in a mouse model of Niemann-Pick Type C disease
NeuroImage·2020· 6 citedOpen Access
Deep Mouse: An End-to-End Auto-Context Refinement Framework for Brain Ventricle & Body Segmentation in Embryonic Mice Ultrasound Volumes
2020· 11 citedOpen Access
TMOD-03. SOMATIC MUTATIONS OF CHROMATIN REGULATOR Kmt2d IN CEREBELLAR PRECURSORS INFLUENCES SHH-MEDULLOBLASTOMA TUMORIGENESIS
Neuro-Oncology·2019Open Access
Deep Mouse: An End-to-end Auto-context Refinement Framework for Brain Ventricle and Body Segmentation in Embryonic Mice Ultrasound Volumes
arXiv (Cornell University)·2019· 1 citedOpen Access
Automatic Mouse Embryo Brain Ventricle & Body Segmentation and Mutant Classification From Ultrasound Data Using Deep Learning
2019· 6 cited
Automatic Mouse Embryo Brain Ventricle & Body Segmentation and Mutant Classification From Ultrasound Data Using Deep Learning
arXiv (Cornell University)·2019· 1 citedOpen Access
MEMRI‐based imaging pipeline for guiding preclinical studies in mouse models of sporadic medulloblastoma
Magnetic Resonance in Medicine·2019· 6 citedOpen Access
Cerebellar folding is initiated by mechanical constraints on a fluid-like layer without a cellular pre-pattern
eLife·2019· 41 citedOpen Access
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Frequent Co-authors

Orlando Aristizábal(12), F. Stuart Foster(11), Alexandra L. Joyner(11), Youssef Zaim Wadghiri(7), Kamila U. Szulc(7), Colin K. L. Phoon(5), Xin Yu(4), Gord Fishell(3), Kasia Harasiewicz(3), Dan H. Sanes(3), Bradley K. McConnell(3), Diane Fatkin(3), Frederick J. Schöen(3), Daniel N. Sauder(3), Brian J. Nieman(3), H. Scott Baldwin(3), Daniel Stephen(3), D.A. Christopher(2), Einar M. Sigurdsson(2), Martin Sadowski(2)