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2019

A 3D Computational Head Model Under Dynamic Head Rotation and Head Extension Validated Using Live Human Brain Data, Including the Falx and the Tentorium

Lu, Y. C., Daphalapurkar, N. P., Knutsen, A. K., Glaister, J., Pham, D. L., Butman, J. A., Prince, J. L., Bayly, P. V. & Ramesh, K. T., Jan 1 2019, In : Annals of biomedical engineering.

Research output: Contribution to journalArticle

Brain
Magnetic resonance
Anisotropy
Tissue

Alterations in the retinal vasculature occur in multiple sclerosis and exhibit novel correlations with disability and visual function measures

Murphy, O. C., Kwakyi, O., Iftikhar, M., Zafar, S., Lambe, J., Pellegrini, N., Sotirchos, E. S., Gonzalez-Caldito, N., Ogbuokiri, E., Filippatou, A., Risher, H., Cowley, N., Feldman, S., Fioravante, N., Frohman, E. M., Frohman, T. C., Balcer, L. J., Prince, J. L., Channa, R., Calabresi, P. & 1 others, Saidha, S., Jan 1 2019, In : Multiple Sclerosis Journal.

Research output: Contribution to journalArticle

Multiple Sclerosis
Blood Vessels
Neuritis
Retinal Vessels
Optic Neuritis

Applications of a deep learning method for anti-aliasing and super-resolution in MRI

Zhao, C., Shao, M., Carass, A., Li, H., Dewey, B. E., Ellingsen, L. M., Woo, J., Guttman, M. A., Blitz, A. M., Stone, M., Calabresi, P. A., Halperin, H. & Prince, J. L., Jan 1 2019, In : Magnetic Resonance Imaging.

Research output: Contribution to journalArticle

Anti-aliasing
Magnetic resonance
Magnetic resonance imaging
Magnetic Resonance Spectroscopy
Learning

Aquaporin-4 IgG seropositivity is associated with worse visual outcomes after optic neuritis than MOG-IgG seropositivity and multiple sclerosis, independent of macular ganglion cell layer thinning

Sotirchos, E. S., Filippatou, A., Fitzgerald, K. C., Salama, S., Pardo, S., Wang, J., Ogbuokiri, E., Cowley, N. J., Pellegrini, N., Murphy, O. C., Mealy, M. A., Prince, J. L., Levy, M., Calabresi, P. A. & Saidha, S., Jan 1 2019, (Accepted/In press) In : Multiple Sclerosis Journal.

Research output: Contribution to journalArticle

Aquaporin 4
Optic Neuritis
Ganglia
Multiple Sclerosis
Myelin-Oligodendrocyte Glycoprotein

Atlas-based tongue muscle correlation analysis from tagged and high- resolution magnetic resonance imaging

Xing, F., Stone, M., Goldsmith, T., Prince, J. L., Fakhri, G. E. & Woo, J., Jul 2019, In : Journal of Speech, Language, and Hearing Research. 62, 7, p. 2258-2269 12 p.

Research output: Contribution to journalArticle

Atlases
Tongue
Magnetic Resonance Imaging
Muscles
Mouth Floor

Automatic quality control using hierarchical shape analysis for cerebellum parcellation

Zuo, L., Han, S., Carass, A., Ying, S. H., Onyike, C. U. & Prince, J. L., Jan 1 2019, Medical Imaging 2019: Image Processing. Angelini, E. D., Angelini, E. D., Angelini, E. D. & Landman, B. A. (eds.). SPIE, 109490J. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 10949).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

cerebellum
quality control
Quality Control
Cerebellum
Quality control

Brain ventricle parcellation using a deep neural network: Application to patients with ventriculomegaly

Shao, M., Han, S., Carass, A., Li, X., Blitz, A. M., Shin, J., Prince, J. L. & Ellingsen, L. M., Jan 1 2019, In : NeuroImage: Clinical. 23, 101871.

Research output: Contribution to journalArticle

Open Access
Brain
Normal Pressure Hydrocephalus
Brain Diseases
Hydrocephalus
Cerebrospinal Fluid

Cerebellum parcellation with convolutional neural networks

Han, S., He, Y., Carass, A., Ying, S. H. & Prince, J. L., Jan 1 2019, Medical Imaging 2019: Image Processing. Angelini, E. D., Angelini, E. D., Angelini, E. D. & Landman, B. A. (eds.). SPIE, 109490K. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 10949).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

cerebellum
Cerebellum
Neural networks
Magnetic resonance
Magnetic Resonance Spectroscopy

DeepHarmony: A deep learning approach to contrast harmonization across scanner changes

Dewey, B. E., Zhao, C., Reinhold, J. C., Carass, A., Fitzgerald, K. C., Sotirchos, E. S., Saidha, S., Oh, J., Pham, D. L., Calabresi, P. A., van Zijl, P. C. M. & Prince, J. L., Jan 1 2019, In : Magnetic Resonance Imaging.

Research output: Contribution to journalArticle

Magnetic resonance imaging
Magnetic Resonance Imaging
Learning
Atrophy
Hardware

Differentiating post-cancer from healthy tongue muscle coordination patterns during speech using deep learning

Woo, J., Xing, F., Prince, J. L., Stone, M., Green, J. R., Goldsmith, T., Reese, T. G., Wedeen, V. J. & El Fakhri, G., May 1 2019, In : Journal of the Acoustical Society of America. 145, 5, p. EL423-EL429

Research output: Contribution to journalArticle

Open Access
tongue
muscles
learning
magnetic resonance
cancer

Effect of disease-modifying therapies on subcortical gray matter atrophy in multiple sclerosis

Sotirchos, E. S., Gonzalez-Caldito, N., Dewey, B. E., Fitzgerald, K., Glaister, J., Filippatou, A., Ogbuokiri, E., Feldman, S., Kwakyi, O., Risher, H., Crainiceanu, C. M., Pham, D. L., Van Zijl, P. C., Mowry, E. M., Reich, D. S., Prince, J. L., Calabresi, P. & Saidha, S., Jan 1 2019, In : Multiple Sclerosis Journal.

Research output: Contribution to journalArticle

Multiple Sclerosis
Atrophy
Therapeutics
Brain
Gray Matter

Evaluating the impact of intensity normalization on MR image synthesis

Reinhold, J. C., Dewey, B. E., Carass, A. & Prince, J. L., Jan 1 2019, Medical Imaging 2019: Image Processing. Angelini, E. D., Angelini, E. D., Angelini, E. D. & Landman, B. A. (eds.). SPIE, 109493H. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 10949).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

synthesis
Learning
preprocessing
image analysis
Image analysis

Large-scale parcellation of the ventricular system using convolutional neural networks

Atlason, H. E., Shao, M., Robertsson, V., Sigurdsson, S., Gudnason, V., Prince, J. L. & Ellingsen, L. M., Jan 1 2019, Medical Imaging 2019: Biomedical Applications in Molecular, Structural, and Functional Imaging. Gimi, B. & Krol, A. (eds.). SPIE, 109530N. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 10953).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

brain
Labels
Brain
Neural networks
markers

Layer boundary evolution method for macular OCT layer segmentation

Liu, Y., Carass, A., He, Y., Antony, B. J., Filippatou, A., Saidha, S., Solomon, S., Calabresi, P. & Prince, J. L., Mar 1 2019, In : Biomedical Optics Express. 10, 3, p. 1064-1080 17 p., 349227.

Research output: Contribution to journalArticle

Optical Coherence Tomography
boundary layers
tomography
retina
evaluation

Parallel deep neural networks for endoscopic oct image segmentation

Li, D., Wu, J., He, Y., Yao, X., Yuan, W., Chen, D., Park, H. C., Yu, S., Prince, J. L. & Li, X., Mar 1 2019, In : Biomedical Optics Express. 10, 3, p. 1126-1135 10 p., #349139.

Research output: Contribution to journalArticle

Eosinophilic Esophagitis
Esophagus
esophagus
Guinea Pigs
guinea pigs

Phase Image Texture Analysis for Motion Detection in Diffusion MRI (PITA-MDD)

Elsaid, N. M. H., Prince, J. L., Roys, S., Gullapalli, R. P. & Zhuo, J., Oct 2019, In : Magnetic Resonance Imaging. 62, p. 228-241 14 p.

Research output: Contribution to journalArticle

Image texture
Diffusion Magnetic Resonance Imaging
Magnetic resonance imaging
Imaging techniques
Fibers

Projection artifact suppression for inner retina in oct angiography

Liu, Y., Carass, A., Filippatou, A., He, Y., Solomon, S. D., Saidha, S., Calabresi, P. A. & Prince, J. L., Apr 2019, ISBI 2019 - 2019 IEEE International Symposium on Biomedical Imaging. IEEE Computer Society, p. 592-596 5 p. 8759466. (Proceedings - International Symposium on Biomedical Imaging; vol. 2019-April).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Angiography
Optical tomography
Artifacts
Retina
Optical Coherence Tomography

Quantifying Tongue Tip Shape in Apical and Laminal /s/: Contributions of Palate Shape

Stone, M., Gomez, A. D., Zhuo, J., Tchouaga, A. L. & Prince, J. L., Sep 20 2019, In : Journal of speech, language, and hearing research : JSLHR. 62, 9, p. 3149-3159 11 p.

Research output: Contribution to journalArticle

Palate
Tongue
Tooth
Magnetic Resonance Spectroscopy
Curvature

Quantitative vibratory sensation measurement is related to sensory cortical thickness in MS

Fritz, N. E., Eloyan, A., Glaister, J., Dewey, B. E., Al-Louzi, O., Costello, M. G., Chen, M., Prince, J. L., Calabresi, P. & Zackowski, K. M., Mar 1 2019, In : Annals of Clinical and Translational Neurology. 6, 3, p. 586-595 10 p.

Research output: Contribution to journalArticle

Open Access
Multiple Sclerosis
Somatosensory Cortex
Prefrontal Cortex
Brain
Hallux
Optical Coherence Tomography
Multiple Sclerosis
Retina
Germany
2018

2D Modeling and Correction of Fan-Beam Scan Geometry in OCT

Chen, M., Gee, J. C., Prince, J. L. & Aguirre, G. K., Jan 1 2018, Computational Pathology and Ophthalmic Medical Image Analysis - First International Workshop, COMPAY 2018, and 5th International Workshop, OMIA 2018, Held in Conjunction with MICCAI 2018, Proceedings. Taylor, Z., Bogunovic, H., Snead, D., Garvin, M. K., Chen, X. J., Ciompi, F., Xu, Y., Maier-Hein, L., Veta, M., Trucco, E., Stoyanov, D., Rajpoot, N., van der Laak, J., Martel, A. & McKenna, S. (eds.). Springer Verlag, p. 328-335 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11039 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Fans
Geometry
Modeling
Retina
Landmarks

3D Measurements of Acceleration-Induced Brain Deformation via Harmonic Phase Analysis and Finite-Element Models

Gomez, A., Knutsen, A., Xing, F., Chan, D., Lu, Y. C., Pham, D., Bayly, P. V. & Prince, J. L., Jan 1 2018, (Accepted/In press) In : IEEE Transactions on Biomedical Engineering.

Research output: Contribution to journalArticle

Brain
Magnetic resonance
Imaging techniques
Motion estimation
Sensors

A deep learning based anti-aliasing self super-resolution algorithm for MRI

Zhao, C., Carass, A., Dewey, B. E., Woo, J., Oh, J., Calabresi, P., Reich, D. S., Sati, P., Pham, D. L. & Prince, J. L., Jan 1 2018, Medical Image Computing and Computer Assisted Intervention – MICCAI 2018 - 21st International Conference, 2018, Proceedings. Schnabel, J. A., Davatzikos, C., Alberola-López, C., Fichtinger, G. & Frangi, A. F. (eds.). Springer Verlag, p. 100-108 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11070 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Anti-aliasing
Aliasing
Super-resolution
Magnetic resonance
Magnetic resonance imaging

A novel filtering approach for 3D harmonic phase analysis of tagged MRI

Wang, X., Stone, M. L., Prince, J. L. & Gomez, A., Jan 1 2018, Medical Imaging 2018: Image Processing. Angelini, E. D., Angelini, E. D. & Landman, B. A. (eds.). SPIE, Vol. 10574. 1057414

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Benchmarking
Magnetic resonance
magnetic resonance
High pass filters
Magnetic Resonance Imaging

A Sparse Non-negative Matrix Factorization Framework for Identifying Functional Units of Tongue Behavior from MRI

Woo, J., Prince, J. L., Stone, M., Xing, F., Gomez, A., Green, J. R., Hartnick, C. J., Brady, T. J., Reese, T. G., Wedeen, V. J. & El Fakhri, G., Sep 17 2018, (Accepted/In press) In : IEEE Transactions on Medical Imaging.

Research output: Contribution to journalArticle

Factorization
Tongue
Muscle
Magnetic Resonance Imaging
Muscles

Atlas of acceleration-induced brain deformation from measurements in vivo

Gomez, A., Knutsen, A., Chan, D., Lu, Y. C., Pham, D. L., Bayly, P. & Prince, J. L., May 14 2018, Computational Biomechanics for Medicine: Measurements, Models, and Predictions. Springer International Publishing, p. 3-14 12 p.

Research output: Chapter in Book/Report/Conference proceedingChapter

Atlases
brain
Brain
templates
acceleration measurement

Automatic outlier detection using hidden Markov model for cerebellar lobule segmentation

Zuo, L., Carass, A., Han, S. & Prince, J. L., Jan 1 2018, Medical Imaging 2018: Biomedical Applications in Molecular, Structural, and Functional Imaging. Gimi, B. & Krol, A. (eds.). SPIE, Vol. 10578. 105780D

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Hidden Markov models
cerebellum
delineation
Cerebellum
Image classification

Brain and retinal atrophy in African-Americans versus Caucasian-Americans with multiple sclerosis: A longitudinal study

Caldito, N. G., Saidha, S., Sotirchos, E. S., Dewey, B. E., Cowley, N. J., Glaister, J., Fitzgerald, K., Al-Louzi, O., Nguyen, J., Rothman, A., Ogbuokiri, E., Fioravante, N., Feldman, S., Kwakyi, O., Risher, H., Kimbrough, D., Frohman, T. C., Frohman, E., Balcer, L., Crainiceanu, C. M. & 7 others, Van Zijl, P. C., Mowry, E. M., Reich, D. S., Oh, J., Pham, D. L., Prince, J. L. & Calabresi, P., Nov 1 2018, In : Brain. 141, 11, p. 3115-3129 15 p.

Research output: Contribution to journalArticle

African Americans
Multiple Sclerosis
Atrophy
Longitudinal Studies
Brain

Comparing fully automated state-of-the-art cerebellum parcellation from magnetic resonance images

Carass, A., Cuzzocreo, J. L., Han, S., Hernandez-Castillo, C. R., Rasser, P. E., Ganz, M., Beliveau, V., Dolz, J., Ben Ayed, I., Desrosiers, C., Thyreau, B., Romero, J. E., Coupé, P., Manjón, J. V., Fonov, V. S., Collins, D. L., Ying, S. H., Onyike, C. U., Crocetti, D., Landman, B. A. & 3 others, Mostofsky, S. H., Thompson, P. M. & Prince, J. L., Dec 1 2018, In : NeuroImage. 183, p. 150-172 23 p.

Research output: Contribution to journalArticle

Cerebellum
Magnetic Resonance Spectroscopy
Pathology
Cerebellar Ataxia
Autistic Disorder

Cross-modality image synthesis from unpaired data using cyclegan: Effects of gradient consistency loss and training data size

Hiasa, Y., Otake, Y., Takao, M., Matsuoka, T., Takashima, K., Carass, A., Prince, J. L., Sugano, N. & Sato, Y., Jan 1 2018, Simulation and Synthesis in Medical Imaging - Third International Workshop, SASHIMI 2018, Held in Conjunction with MICCAI 2018, Proceedings. Goksel, O., Oguz, I., Gooya, A. & Burgos, N. (eds.). Springer Verlag, p. 31-41 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11037 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Modality
Synthesis
Gradient
Magnetic resonance imaging
Muscle

Deep harmonization of inconsistent mr data for consistent volume segmentation

Dewey, B. E., Zhao, C., Carass, A., Oh, J., Calabresi, P., Van Zijl, P. C. & Prince, J. L., Jan 1 2018, Simulation and Synthesis in Medical Imaging - Third International Workshop, SASHIMI 2018, Held in Conjunction with MICCAI 2018, Proceedings. Goksel, O., Oguz, I., Gooya, A. & Burgos, N. (eds.). Springer Verlag, p. 20-30 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11037 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Magnetic resonance
Inconsistent
Image analysis
Learning systems
Brain

Deformable model reconstruction of the subarachnoid space

Glaister, J., Shao, M., Li, X., Carass, A., Roy, S., Blitz, A. M., Prince, J. L. & Ellingsen, L. M., Jan 1 2018, Medical Imaging 2018: Image Processing. SPIE, Vol. 10574. 1057431

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Subarachnoid Space
Magnetic resonance imaging
Neurodegenerative diseases
Cerebrospinal fluid
Volume measurement

Dice overlap measures for objects of unknown number: Application to lesion segmentation

Oguz, I., Carass, A., Pham, D. L., Roy, S., Subbana, N., Calabresi, P., Yushkevich, P. A., Shinohara, R. T. & Prince, J. L., Jan 1 2018, Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries - 3rd International Workshop, BrainLes 2017, Held in Conjunction with MICCAI 2017, Revised Selected Papers. Springer Verlag, p. 3-14 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10670 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Dice
Overlap
Segmentation
Unknown
Image segmentation

Dictionary-based fiber orientation estimation with improved spatial consistency

Ye, C. & Prince, J. L., Feb 1 2018, In : Medical Image Analysis. 44, p. 41-53 13 p.

Research output: Contribution to journalArticle

Fiber reinforced materials
Glossaries
Diffusion Magnetic Resonance Imaging
Magnetic resonance
Imaging techniques

Improving self super resolution in magnetic resonance images

Goyal, S., Zhao, C., Jog, A., Prince, J. L. & Carass, A., Jan 1 2018, Medical Imaging 2018: Biomedical Applications in Molecular, Structural, and Functional Imaging. Gimi, B. & Krol, A. (eds.). SPIE, Vol. 10578. 1057814

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Magnetic resonance
Image quality
magnetic resonance
Magnetic Resonance Spectroscopy
Post and Core Technique

Intensity inhomogeneity correction of SD-OCT data using macular flatspace

Lang, A., Carass, A., Jedynak, B. M., Solomon, S., Calabresi, P. & Prince, J. L., Jan 1 2018, In : Medical Image Analysis. 43, p. 85-97 13 p.

Research output: Contribution to journalArticle

Optical tomography
Optical Coherence Tomography
Retina

Inter-scanner variation independent descriptors for constrained diffeomorphic demons registration of retina OCT

Reaungamornrat, S., Carass, A., He, Y., Saidha, S., Calabresi, P. & Prince, J. L., Jan 1 2018, Medical Imaging 2018: Image Processing. SPIE, Vol. 10574. 105741B

Research output: Chapter in Book/Report/Conference proceedingConference contribution

retina
Image registration
Image quality
scanners
Retina

Inverse biomechanical modeling of the tongue via machine learning and synthetic training data

Tolpadi, A. A., Stone, M. L., Carass, A., Prince, J. L. & Gomez, A., Jan 1 2018, Medical Imaging 2018: Image-Guided Procedures, Robotic Interventions, and Modeling. Fei, B. & Webster, R. J. (eds.). SPIE, Vol. 10576. 1057606

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Flaps
machine learning
tongue
Magnetic resonance
Tongue

Laplace-based modeling of fiber orientation in the tongue

Gomez, A., Elsaid, N., Stone, M. L., Zhuo, J. & Prince, J. L., Aug 1 2018, In : Biomechanics and Modeling in Mechanobiology. 17, 4, p. 1119-1130 12 p.

Research output: Contribution to journalArticle

Fiber Orientation
Fiber reinforced materials
Laplace
Tongue
Fiber

Multi-atlas segmentation of the hydrocephalus brain using an adaptive ventricle atlas

Shao, M., Carass, A., Li, X., Dewey, B. E., Blitz, A. M., Prince, J. L. & Ellingsen, L. M., Jan 1 2018, Medical Imaging 2018: Biomedical Applications in Molecular, Structural, and Functional Imaging. SPIE, Vol. 10578. 105780F

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Normal Pressure Hydrocephalus
Atlases
Hydrocephalus
brain
Brain

Multi-layer fast level set segmentation for macular OCT

Liu, Y., Carass, A., Solomon, S., Saidha, S., Calabresi, P. & Prince, J. L., May 23 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging, ISBI 2018. IEEE Computer Society, Vol. 2018-April. p. 1445-1448 4 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Optical tomography
Optical Coherence Tomography
Retina
Experiments

Quantifying tensor field similarity with global distributions and optimal transport

Gomez, A. D., Stone, M. L., Bayly, P. V. & Prince, J. L., Jan 1 2018, Medical Image Computing and Computer Assisted Intervention – MICCAI 2018 - 21st International Conference, 2018, Proceedings. Fichtinger, G., Davatzikos, C., Alberola-López, C., Frangi, A. F. & Schnabel, J. A. (eds.). Springer Verlag, p. 428-436 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11071 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Optimal Transport
Tensors
Tensor
Histogram
Sorting

Self super-resolution for magnetic resonance images using deep networks

Zhao, C., Carass, A., Dewey, B. E. & Prince, J. L., May 23 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging, ISBI 2018. IEEE Computer Society, Vol. 2018-April. p. 365-368 4 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Atlases
Magnetic resonance
Image resolution
Magnetic Resonance Spectroscopy
Imaging techniques

Shortcomings of ventricle segmentation using deep convolutional networks

Shao, M., Han, S., Carass, A., Li, X., Blitz, A. M., Prince, J. L. & Ellingsen, L. M., Jan 1 2018, Understanding and Interpreting Machine Learning in Medical Image Computing Applications - First International Workshops MLCN 2018, DLF 2018, and iMIMIC 2018, Held in Conjunction with MICCAI 2018, Proceedings. Taylor, Z., Reyes, M., Cardoso, M. J., Silva, C. A., Stoyanov, D., Maier-Hein, L., Pereira, S., Kia, S. M., Oguz, I., Landman, B., Martel, A., Duchesnay, E., Lofstedt, T., Marquand, A. F. & Meier, R. (eds.). Springer Verlag, p. 79-86 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11038 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Segmentation
Magnetic Resonance Image
Magnetic resonance
Neural Networks
Neural networks

Simulation and Synthesis in Medical Imaging

Frangi, A. F., Tsaftaris, S. A. & Prince, J. L., Mar 1 2018, In : IEEE Transactions on Medical Imaging. 37, 3, p. 673-679 7 p.

Research output: Contribution to journalArticle

Medical imaging
Diagnostic Imaging
Cardiology
Oncology
Neurosciences

Spinal cord and infratentorial lesions in radiologically isolated syndrome are associated with decreased retinal ganglion cell/inner plexiform layer thickness

Filippatou, A., Shoemaker, T., Esch, M., Qutab, M., Gonzalez-Caldito, N., Prince, J. L., Mowry, E. M., Calabresi, P., Saidha, S. & Sotirchos, E. S., Jan 1 2018, (Accepted/In press) In : Multiple Sclerosis Journal.

Research output: Contribution to journalArticle

Retinal Ganglion Cells
Spinal Cord
Ganglia
Optical Coherence Tomography
Gadolinium

State-of-the-Art Digital Imaging in Dentistry: Advanced Research of MRI, CT, CBCT, and Digital Intraoral Imaging

Honda, E., Prince, J. L. & Fontanella, V. R. C., Jan 1 2018, In : BioMed Research International. 2018, 9057120.

Research output: Contribution to journalEditorial

Cone-Beam Computed Tomography
X Ray Computed Tomography
Dentistry
Magnetic Resonance Imaging
Research

Strain map of the tongue in normal and ALS speech patterns from tagged and diffusion MRI

Xing, F., Prince, J. L., Stone, M., Reese, T. G., Atassi, N., Wedeen, V. J., El Fakhri, G. & Woo, J., Jan 1 2018, Medical Imaging 2018: Image Processing. Angelini, E. D., Angelini, E. D. & Landman, B. A. (eds.). SPIE, Vol. 10574. 1057411

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Diffusion Magnetic Resonance Imaging
tongue
Amyotrophic Lateral Sclerosis
Tongue
Magnetic resonance imaging

Unpaired brain mr-to-ct synthesis using a structure-constrained cyclegan

Yang, H., Sun, J., Carass, A., Zhao, C., Lee, J., Xu, Z. & Prince, J. L., Jan 1 2018, Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support - 4th International Workshop, DLMIA 2018 and 8th International Workshop, ML-CDS 2018 Held in Conjunction with MICCAI 2018. Maier-Hein, L., Syeda-Mahmood, T., Taylor, Z., Lu, Z., Stoyanov, D., Madabhushi, A., Tavares, J. M. R. S., Nascimento, J. C., Moradi, M., Martel, A., Papa, J. P., Conjeti, S., Belagiannis, V., Greenspan, H., Carneiro, G. & Bradley, A. (eds.). Springer Verlag, p. 174-182 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11045 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Brain
Synthesis
Medical imaging
Paired Data
CT Image
2017

A four-dimensional motion field atlas of the tongue from tagged and cine magnetic resonance imaging

Xing, F., Prince, J. L., Stone, M., Wedeen, V. J., El Fakhri, G. & Woo, J., 2017, Medical Imaging 2017: Image Processing. SPIE, Vol. 10133. 101331H

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Cine Magnetic Resonance Imaging
tongue
Atlases
Magnetic resonance
Tongue