Bennett A Landman

发表

Registration-based image enhancement improves multi-atlas segmentation of the thalamic nuclei and hippocampal subfields.

Shunxing Bao, Camilo Bermudez, Yuankai Huo, 2019, Magnetic resonance imaging.

Synthesized b0 for diffusion distortion correction (Synb0-DisCo).

Yuankai Huo, Susan M Resnick, Bennett A Landman, 2019, Magnetic resonance imaging.

Distributed Deep Learning Across Multi-site Datasets for Generalized CT Hemorrhage Segmentation.

Snehashis Roy, Camilo Bermudez, Bennett A Landman, 2019, Medical physics.

Robust estimation of spatially variable noise fields

Bennett A Landman, Pierre-Louis Bazin, Jerry L Prince, 2009, Magnetic resonance in medicine.

Phantom-based field maps for gradient nonlinearity correction in diffusion imaging

Bennett A Landman, Carlo Pierpaoli, E Brian Welch, 2018, Medical Imaging.

Collaborative labeling of malignant glioma with WebMILL: a first look

Bennett A Landman, Zhoubing Xu, Eesha Singh, 2012, Medical Imaging.

Robust inter-modality multi-atlas segmentation for PACS-based DTI quality control

Bennett A Landman, Andrew J Asman, Carolyn B Lauzon, 2013, Medical Imaging.

Abdomen and spinal cord segmentation with augmented active shape models

Bennett A Landman, Benjamin N. Conrad, Zhoubing Xu, 2016, Journal of medical imaging.

Time-distanced gates in long short-term memory networks

Shunxing Bao, Yuankai Huo, Bennett A Landman, 2020, Medical Image Anal..

Quantitative anatomical labeling of the anterior abdominal wall

Bennett A Landman, Zhoubing Xu, Andrew J Asman, 2013, Medical Imaging.

High-resolution 3D abdominal segmentation with random patch network fusion

Shunxing Bao, Camilo Bermudez, Yuankai Huo, 2020, Medical Image Anal..

Distortion correction of diffusion weighted MRI without reverse phase-encoding scans or field-maps

Susan M Resnick, Bennett A Landman, Kurt G Schilling, 2020, PloS one.

AI in MRI: A case for grassroots deep learning.

Bennett A Landman, Kurt G Schilling, B. Landman, 2019, Magnetic resonance imaging.

Empirical reproducibility, sensitivity, and optimization of acquisition protocol, for Neurite Orientation Dispersion and Density Imaging using AMICO.

Prasanna Parvathaneni, Bennett A Landman, Vishwesh Nath, 2018, Magnetic resonance imaging.

Immersive virtual reality for visualization of abdominal CT

Bennett A Landman, R. E. Bodenheimer, Zhoubing Xu, 2013, Medical Imaging.

Performance management of high performance computing for medical image processing in Amazon Web Services

Shunxing Bao, Bennett A Landman, Aniruddha Gokhale, 2016, SPIE Medical Imaging.

Anatomical context improves deep learning on the brain age estimation task.

Camilo Bermudez, Yuankai Huo, Susan M Resnick, 2019, Magnetic resonance imaging.

Anatomical accuracy of standard-practice tractography algorithms in the motor system - A histological validation in the squirrel monkey brain.

Bennett A Landman, Yurui Gao, Vaibhav A. Janve, 2019, Magnetic resonance imaging.

Next Generation of the Java Image Science Toolkit (JIST): Visualization and Validation.

Bennett A Landman, Bo Li, Frederick Bryan, 2012, The insight journal.

Robust optic nerve segmentation on clinically acquired computed tomography

Bennett A Landman, Robert L Galloway, Swetasudha Panda, 2014, Journal of medical imaging.

Segmentation of malignant gliomas through remote collaboration and statistical fusion.

Bennett A Landman, Zhoubing Xu, Eesha Singh, 2012, Medical physics.

Multi-modal imaging with specialized sequences improves accuracy of the automated subcortical grey matter segmentation.

Shunxing Bao, Benoit M Dawant, Bennett A Landman, 2019, Magnetic resonance imaging.

Theoretical and empirical comparison of big data image processing with Apache Hadoop and Sun Grid Engine

Shunxing Bao, Yuankai Huo, Bennett A Landman, 2017, Medical Imaging.

Out-of-atlas likelihood estimation using multi-atlas segmentation.

Bennett A Landman, Andrew J Asman, Reid C Thompson, 2013, Medical physics.

Diminishing Uncertainty Within the Training Pool: Active Learning for Medical Image Segmentation

Daguang Xu, Bennett A Landman, Vishwesh Nath, 2020, IEEE Transactions on Medical Imaging.

Integrating medical imaging analyses through a high-throughput bundled resource imaging system

Bennett A Landman, E Brian Welch, Ha-Kyu Jeong, 2011, Medical Imaging.

Stability of gradient field corrections for quantitative diffusion MRI

Bennett A Landman, E Brian Welch, Zhaohua Ding, 2017, Medical Imaging.

Distortion correction of diffusion weighted MRI without reverse phase-encoding scans or field-maps

Bennett A Landman, Susan M. Resnick, Colin B. Hansen, 2020, bioRxiv.

Phenotype analysis of early risk factors from electronic medical records improves image-derived diagnostic classifiers for optic nerve pathology

Bennett A Landman, Shikha Chaganti, Katrina M Nelson, 2017, Medical Imaging.

Multiprotocol, multiatlas statistical fusion: theory and application

Bennett A Landman, Andrew J Plassard, 2017, Journal of medical imaging.

Complex geometric models of diffusion and relaxation in healthy and damaged white matter

Bennett A Landman, Seth A Smith, Peter C M van Zijl, 2009, NMR in biomedicine.

A fiber coherence index for quality control of B-table orientation in diffusion MRI scans.

Bennett A Landman, Fang-Cheng Yeh, Vishwesh Nath, 2019, Magnetic resonance imaging.

DAX - the next generation: towards one million processes on commodity hardware

Bennett A Landman, Stephen M Damon, Andrew J Plassard, 2017, Medical Imaging.

Generalizing deep whole-brain segmentation for post-contrast MRI with transfer learning

Camilo Bermudez, Yuankai Huo, Maureen McHugo, 2020, Journal of medical imaging.

Fully Automatic Liver Attenuation Estimation Combing CNN Segmentation and Morphological Operations

Yuankai Huo, Bennett A Landman, Jiachen Wang, 2019, Medical physics.

Non-local statistical label fusion for multi-atlas segmentation

Bennett A Landman, Andrew J Asman, B. Landman, 2013, Medical Image Anal..

Empirical estimation of intravoxel structure with persistent angular structure and Q-ball models of diffusion weighted MRI

Prasanna Parvathaneni, Bennett A Landman, Vishwesh Nath, 2018, Journal of medical imaging.

Why rankings of biomedical image analysis competitions should be interpreted with care

Aaron Carass, Keno März, Lena Maier-Hein, 2018, Nature Communications.

Integration of XNAT/PACS, DICOM, and research software for automated multi-modal image analysis

Bennett A Landman, Yurui Gao, Adam W Anderson, 2013, Medical Imaging.

Self-assessed performance improves statistical fusion of image labels.

Bennett A Landman, Zhoubing Xu, Andrew J Asman, 2014, Medical physics.

Evaluation of Atlas-Based White Matter Segmentation with Eve.

Susan M Resnick, Bennett A Landman, Andrew J Plassard, 2015, Proceedings of SPIE--the International Society for Optical Engineering.

Stochastic tissue window normalization of deep learning on computed tomography

Shunxing Bao, Yuankai Huo, Bennett A Landman, 2019, Journal of medical imaging.

Confirmation of a gyral bias in diffusion MRI fiber tractography

Bennett A Landman, Yurui Gao, Vaibhav A. Janve, 2018, Human brain mapping.

Pandora: 4-D White Matter Bundle Population-Based Atlases Derived from Diffusion MRI Fiber Tractography.

Qi Yang, Susan M Resnick, Ilwoo Lyu, 2020, Neuroinformatics.

Improved gray matter surface based spatial statistics in neuroimaging studies.

Yuankai Huo, Prasanna Parvathaneni, Ilwoo Lyu, 2019, Magnetic resonance imaging.

Automating PACS quality control with the Vanderbilt image processing enterprise resource

Bennett A Landman, E Brian Welch, Michael L Esparza, 2012, Other Conferences.

Hierarchical spherical deformation for cortical surface registration

Ilwoo Lyu, Bennett A Landman, Hakmook Kang, 2019, Medical Image Anal..

Empirical field mapping for gradient nonlinearity correction of multi-site diffusion weighted MRI.

Bennett A Landman, Carlo Pierpaoli, Vishwesh Nath, 2020, Magnetic resonance imaging.

Characterizing and optimizing rater performance for internet-based collaborative labeling

Bennett A Landman, Andrew J Asman, Joshua A Stein, 2011, Medical Imaging.

Author Correction: Why rankings of biomedical image analysis competitions should be interpreted with care

Aaron Carass, Keno März, Lena Maier-Hein, 2019, Nature Communications.

Pandora: 4-D White Matter Bundle Population-Based Atlases Derived from Diffusion MRI Fiber Tractography

Qi Yang, Ilwoo Lyu, Bennett A Landman, 2020, Neuroinformatics.

Assessment of bias in experimentally measured diffusion tensor imaging parameters using SIMEX

Bennett A Landman, Ciprian Crainiceanu, Carolyn B Lauzon, 2013, Magnetic resonance in medicine.

Short term reproducibility of a high contrast 3-D isotropic optic nerve imaging sequence in healthy controls

Bennett A Landman, Seth A Smith, Robert L Harrigan, 2016, SPIE Medical Imaging.

Efficient multi-atlas abdominal segmentation on clinically acquired CT with SIMPLE context learning

Bennett A Landman, Zhoubing Xu, Richard G Abramson, 2015, Medical Image Anal..

Acceleration of spleen segmentation with end-to-end deep learning method and automated pipeline

Yuankai Huo, Bennett A Landman, Albert Assad, 2019, Comput. Biol. Medicine.

Using deep learning for a diffusion-based segmentation of the dentate nucleus and its benefits over atlas-based methods

Shunxing Bao, Benoit M Dawant, Bennett A Landman, 2019, Journal of medical imaging.

Tractography reproducibility challenge with empirical data (TraCED): The 2017 ISMRM diffusion study group challenge

Jean-Philippe Thiran, Ragini Verma, Yuankai Huo, 2019, Journal of magnetic resonance imaging : JMRI.

Challenges in diffusion MRI tractography - Lessons learned from international benchmark competitions.

Bennett A Landman, Vishwesh Nath, Cyril Poupon, 2019, Magnetic resonance imaging.

Validation and estimation of spleen volume via computer-assisted segmentation on clinically acquired CT scans

Shunxing Bao, Yuankai Huo, Bennett A Landman, 2021, Journal of medical imaging.

Faster Mean-shift: GPU-accelerated clustering for cosine embedding-based cell segmentation and tracking

Le Lu, Yuankai Huo, Bennett A Landman, 2021, Medical Image Anal..

Improving Spleen Volume Estimation Via Computer-assisted Segmentation on Clinically Acquired CT Scans.

Bennett A Landman, Zhoubing Xu, Ryan P. Burke, 2016, Academic radiology.

Correcting power and p-value calculations for bias in diffusion tensor imaging.

Bennett A Landman, Carolyn B Lauzon, 2013, Magnetic resonance imaging.

Quantifying the impact of underlying measurement error on cervical spinal cord diffusion tensor imaging at 3T

Bennett A Landman, Siddharama Pawate, Samantha By, 2016, Journal of magnetic resonance imaging : JMRI.

Histologically derived fiber response functions for diffusion MRI vary across white matter fibers—An ex vivo validation study in the squirrel monkey brain

Bennett A Landman, Vaibhav A. Janve, Iwona Stepniewska, 2019, NMR in biomedicine.

A deep learning approach to estimation of subject-level bias and variance in high angular resolution diffusion imaging.

Prasanna Parvathaneni, Bennett A Landman, Vishwesh Nath, 2019, Magnetic resonance imaging.

Development of chemical exchange saturation transfer at 7T

Bennett A Landman, Siddharama Pawate, John C Gore, 2011, Magnetic resonance in medicine.

q‐space and conventional diffusion imaging of axon and myelin damage in the rat spinal cord after axotomy

Bennett A Landman, Peter C M van Zijl, Daniel S Reich, 2010, Magnetic resonance in medicine.

Reproducibility and variation of diffusion measures in the squirrel monkey brain, in vivo and ex vivo.

Bennett A Landman, Iwona Stepniewska, Adam W Anderson, 2017, Magnetic resonance imaging.

Magnetic resonance imaging connectivity for the prediction of seizure outcome in temporal lobe epilepsy

Bennett A Landman, Adam W Anderson, Baxter P Rogers, 2017, Epilepsia.

The effect of age and microstructural white matter integrity on lap time variation and fast-paced walking speed

Susan M Resnick, Bennett A Landman, Luigi Ferrucci, 2015, Brain Imaging and Behavior.

Diffusion tensor imaging at low SNR: nonmonotonic behaviors of tensor contrasts.

Bennett A Landman, Susumu Mori, Jerry L Prince, 2008, Magnetic resonance imaging.

Empirical consideration of the effects of acquisition parameters and analysis model on clinically feasible q-ball imaging.

Prasanna Parvathaneni, Bennett A Landman, Vishwesh Nath, 2017, Magnetic resonance imaging.

Evaluation of Multi-Atlas Label Fusion for In Vivo MRI Orbital Segmentation.

Bennett A Landman, Swetasudha Panda, Andrew J Asman, 2014, Journal of medical imaging.

Water saturation shift referencing (WASSR) for chemical exchange saturation transfer (CEST) experiments

Bennett A Landman, Jinyuan Zhou, Peter C M van Zijl, 2009, Magnetic resonance in medicine.

ROBUST SEGMENTATION OF CLINICAL OPTIC NERVE MRI

Bennett A Landman, Swetasudha Panda, Andrew J Asman, 2012 .