(Showing: 1 - 10 of 134)
(Showing: 1 - 134 of 134)
Aboud, Katherine S. and Huo, Yuankai and Kang, Hakmook and Ealey, Ashley and Resnick, Susan M. and Landman, Bennett A. and Cutting, Laurie E.
"{Structural covariance across the lifespan: Brain development and aging through the lens of inter-network relationships}"
Human Brain Mapping
, v.40
, 2019
, p.125--136
10.1002/hbm.24359
Ana Gainaru, Hongyang Sun, Guillaume Aupy, Padma Raghavan and Bennett A. Landman
"On-the-fly scheduling vs. reservation-based scheduling for unpredictable workflows"
The International Journal of High Performance Computing Applications
, 2019
Andrew J. Plassard, Maureen McHugo, Stephan Heckers, Bennett A. Landman
"Multi-Scale Hippocampal Parcellation Improves Atlas-Based Segmentation Accuracy"
In Proceedings of the SPIE Medical Imaging Conference. Orlando, Florida, February 2017.
, 2017
Andrew J. Plassard, Pierre F. D'Haese, Srivatsan Pallavaram, Allen T. Newton, Daniel O. Claassen, Benoit M. Dawant, Bennett A. Landman
"Multi-Modal and Targeted Imaging Improves Automated Mid-Brain Segmentation"
In Proceedings of the SPIE Medical Imaging Conference. Orlando, Florida, February 2017. Oral presentation.
, 2017
Andrew J. Plassard, Pierre F. DHaese, Srivatsan Pallavaram, Daniel O. Claassen, Benoit M. Dawant, Bennett A. Landman
"Multi-Modal Imaging with Specialized Sequences Improves Accuracy of the Automated Sub-Cortical Grey Matter Segmentation"
Magnetic Resonance Imaging
, 2019
Andrew J. Plassard, Robert L. Harrigan, Allen T. Newton, Swati D. Rane, Srivatsan Pallavaram, Pierre F. D'Haese, Benoit M. Dawant, Daniel O. Claassen, Bennett A. Landman
"On the Fallacy of Quantitative Segmentation for T1-Weighted MRI"
In Proceedings of the SPIE Medical Imaging Conference. San Diego, California, February 2016.
, 2016
Andrew J. Plassard, Zhen Yang, Swati D. Rane, Jerry L. Prince, Daniel O. Claassen, Bennett A. Landman
"Improving Cerebellar Segmentation with Statistical Fusion. "
In Proceedings of the SPIE Medical Imaging Conference. San Diego, California, February 2016.
, 2016
Andrew Plassard, Bennett A. Landman.
"?Multi-Protocol, Multi-Atlas Statistical Fusion: Theory and Application.?"
Journal of Medical Imaging (JMI). In Press July 2017
, 2017
Bao, Shunxing and Bermudez, Camilo and Huo, Yuankai and Parvathaneni, Prasanna and Rodriguez, William and Resnick, Susan M. and D'Haese, Pierre Fran{\c{c}}ois and McHugo, Maureen and Heckers, Stephan and Dawant, Benoit M. and Lyu, Ilwoo and Landman, Benne
"{Registration-based image enhancement improves multi-atlas segmentation of the thalamic nuclei and hippocampal subfields}"
Magnetic Resonance Imaging
, v.59
, 2019
, p.143--152
10.1016/j.mri.2019.03.014
Bermudez, Camilo and Blaber, Justin and Remedios, Samuel W. and Reynolds, Jess E. and Lebel, Catherine and McHugo, Maureen and Heckers, Stephan and Huo, Yuankai and Landman, Bennett A.
"{Generalizing deep whole brain segmentation for pediatric and post-contrast MRI with augmented transfer learning}"
Journal of Medical Imaging
, v.7
, 2020
, p.20
10.1117/12.2548622
Bermudez, Camilo and Plassard, Andrew J. and Chaganti, Shikha and Huo, Yuankai and Aboud, Katherine S. and Cutting, Laurie E. and Resnick, Susan M. and Landman, Bennett A.
"{Anatomical context improves deep learning on the brain age estimation task}"
Magnetic Resonance Imaging
, v.62
, 2019
, p.70--77
10.1016/j.mri.2019.06.018
Bermudez, C. and Remedios, S. W. and Ramadass, K. and McHugo, M. and Heckers, S. and Huo, Y. and Landman, B. A.
"{{G}eneralizing deep whole-brain segmentation for post-contrast {M}{R}{I} with transfer learning}"
J Med Imaging (Bellingham)
, v.7
, 2020
, p.064004
Bermudez, C., Bao, S., Petersen, K. J., Lopez, A.M., Reid, J., Plassard, A. J., Zald, D. H., Claassen, D. O., Dawant, B. M., Landman, B.A.
"Using Deep Learning for a Diffusion-Based Segmentation of the Dentate Nucleus and its Benefits Over Atlas Based Methods."
Journal of Medical Imaging
, 2019
Bermudez, C., Plassard, A.J., Chaganti, S., Huo, Y., Aboud, K.E., Cutting, L.E., Resnick, S., & Landman, B.A.
"Anatomical Context Improves Deep Learning on Brain Age Estimation Task."
Magnetic Resonance Imaging
, 2019
{Bermudez Noguera}, Camilo and Bao, Shunxing and Petersen, Kalen J. and Lopez, Alexander M. and Reid, Jacqueline and Plassard, Andrew J. and Zald, David H. and Claassen, Daniel O. and Dawant, Benoit M. and Landman, Bennett A.
"{Using deep learning for a diffusion-based segmentation of the dentate nucleus and its benefits over atlas-based methods}"
Journal of Medical Imaging
, v.6
, 2019
, p.1
10.1117/1.jmi.6.4.044007
Cai, Leon Y. and Yang, Qi and Hansen, Colin B. and Nath, Vishwesh and Ramadass, Karthik and Johnson, Graham W. and Conrad, Benjamin N. and Boyd, Brian D. and Begnoche, John P. and Beason-Held, Lori L. and Shafer, Andrea T. and Resnick, Susan M. and Taylor
"{PreQual: An automated pipeline for integrated preprocessing and quality assurance of diffusion weighted MRI images}"
Magnetic Resonance in Medicine
, v.86
, 2021
, p.456--470
10.1002/mrm.28678
Cai, Leon Y. and Yang, Qi and Kanakaraj, Praitayini and Nath, Vishwesh and Newton, Allen T. and Edmonson, Heidi A. and Luci, Jeffrey and Conrad, Benjamin N. and Price, Gavin R. and Hansen, Colin B. and Kerley, Cailey I. and Ramadass, Karthik and Yeh, Fang
"{MASiVar: Multisite, multiscanner, and multisubject acquisitions for studying variability in diffusion weighted MRI}"
Magnetic Resonance in Medicine
, 2021
, p.2012--202
10.1002/mrm.28926
Cailey I. Kerley, Yuankai Huo, Shikha Chaganti, Shunxing Bao, Mayur B. Patel, Bennett A. Landman.
""Montage based 3D Medical Image Retrieval from Traumatic Brain Injury Cohort using Deep Convolutional Neural Network.""
SPIE Medical Imaging, International Society for Optics and Photonics
, 2019
Camilo Bermudez, Andrew J. Plassard, Taylor L. Davis, Allen T. Newton, Susan M. Resnick, and Bennett A. Landman.
"Learning implicit brain MRI manifolds with deep learning."
SPIE Medical Imaging. International Society for Optics and Photonics. 2018.
, 2018
Camilo Bermudez, William J. Rodriguez, Yuankai Huo, Allison E. Hainline, Rui Li, Robert Shults, Pierre D. D'Haese, Peter E. Konrad, Benoit M. Dawant, Bennett A. Landman.
""Towards machine learning prediction of deep brain stimulation (DBS) intra-operative efficacy maps.""
SPIE Medical Imaging, International Society for Optics and Photonics
, 2019
Chaganti, Shikha and Mawn, Louise A. and Kang, Hakmook and Egan, Josephine and Resnick, Susan M. and Beason-Held, Lori L. and Landman, Bennett A. and Lasko, Thomas A.
"{Electronic Medical Record Context Signatures Improve Diagnostic Classification Using Medical Image Computing}"
IEEE Journal of Biomedical and Health Informatics
, v.23
, 2019
, p.2052--206
10.1109/JBHI.2018.2890084
Chaganti, Shikha and Mundy, Kevin and DeLisi, Michael P. and Nelson, Katrina M. and Harrigan, Robert L. and Galloway, Robert L. and Landman, Bennett A. and Mawn, Louise A.
"{Assessment of Orbital Computed Tomography (CT) Imaging Biomarkers in Patients with Thyroid Eye Disease}"
Journal of Digital Imaging
, v.32
, 2019
, p.987--994
10.1007/s10278-019-00195-2
Chaganti, Shikha and Nelson, Katrina and Mundy, Kevin and Harrigan, Robert
"{Imaging biomarkers in thyroid eye disease and their clinical associations}"
Journal of Medical Imaging
, v.5
, 2018
, p.1
10.1117/1.jmi.5.4.044001
Chaganti, Shikha and Welty, Valerie F. and Taylor, Warren and Albert, Kimberly and Failla, Michelle D. and Cascio, Carissa and Smith, Seth and Mawn, Louise and Resnick, Susan M. and Beason-Held, Lori L. and Bagnato, Francesca and Lasko, Thomas and Blume,
"{Discovering novel disease comorbidities using electronic medical records}"
PLoS ONE
, v.14
, 2019
, p.e0225495
10.1371/journal.pone.0225495
Christman, Seth and Bermudez, Camilo and Hao, Lingyan and Landman, Bennett A. and Boyd, Brian and Albert, Kimberly and Woodward, Neil and Shokouhi, Sepideh and Vega, Jennifer and Andrews, Patricia and Taylor, Warren D.
"{Accelerated brain aging predicts impaired cognitive performance and greater disability in geriatric but not midlife adult depression}"
Translational Psychiatry
, v.10
, 2020
, p.1--11
10.1038/s41398-020-01004-z
Gao, R. and Huo, Y. and Bao, S. and Tang, Y. and Antic, S. L. and Epstein, E. S. and Deppen, S. and Paulson, A. B. and Sandler, K. L. and Massion, P. P. and Landman, B. A.
"{{M}ulti-path x-{D} {R}ecurrent {N}eural {N}etworks for {C}ollaborative {I}mage {C}lassification}"
Neurocomputing
, v.397
, 2020
, p.48--59
Gao, R. and Tang, Y. and Xu, K. and Huo, Y. and Bao, S. and Antic, S. L. and Epstein, E. S. and Deppen, S. and Paulson, A. B. and Sandler, K. L. and Massion, P. P. and Landman, B. A.
"{{T}ime-distanced gates in long short-term memory networks}"
Med Image Anal
, v.65
, 2020
, p.101785
Gao, Riqiang and Huo, Yuankai and Bao, Shunxing and Tang, Yucheng and Antic, Sanja L. and Epstein, Emily S. and Deppen, Steve and Paulson, Alexis B. and Sandler, Kim L. and Massion, Pierre P. and Landman, Bennett A.
"{Multi-path x-D recurrent neural networks for collaborative image classification}"
Neurocomputing
, v.397
, 2020
, p.48--59
10.1016/j.neucom.2020.02.033
Gao, Riqiang and Tang, Yucheng and Khan, Mirza S. and Xu, Kaiwen and Paulson, Alexis B. and Sullivan, Shelbi and Huo, Yuankai and Deppen, Stephen and Massion, Pierre P. and Sandler, Kim L. and Landman, Bennett A.
"{Cancer Risk Estimation Combining Lung Screening CT with Clinical Data Elements}"
Radiology: Artificial Intelligence
, 2021
, p.e210032
10.1148/ryai.2021210032
Gao, Riqiang and Tang, Yucheng and Xu, Kaiwen and Huo, Yuankai and Bao, Shunxing and Antic, Sanja L. and Epstein, Emily S. and Deppen, Steve and Paulson, Alexis B. and Sandler, Kim L. and Massion, Pierre P. and Landman, Bennett A.
"{Time-distanced gates in long short-term memory networks}"
Medical Image Analysis
, v.65
, 2020
, p.101785
10.1016/j.media.2020.101785
Gonzรกlez, H. F. J. and Goodale, S. E. and Jacobs, M. L. and Haas, K. F. and Landman, B. A. and Morgan, V. L. and Englot, D. J.
"{{B}rainstem {F}unctional {C}onnectivity {D}isturbances in {E}pilepsy may {R}ecover {A}fter {S}uccessful {S}urgery}"
Neurosurgery
, v.86
, 2020
, p.417--428
Gonzรกlez-Villร , S. and Oliver, A. and Huo, Y. and Lladรณ, X. and Landman, B. A.
"{{A} fully automated pipeline for brain structure segmentation in multiple sclerosis}"
Neuroimage Clin
, v.27
, 2020
, p.102306
Gonz{\'{a}}lez-Vill{\`{a}}, Sandra and Oliver, Arnau and Huo, Yuankai and Llad{\'{o}}, Xavier and Landman, Bennett A.
"{Brain structure segmentation in the presence of multiple sclerosis lesions}"
NeuroImage: Clinical
, v.22
, 2019
, p.101709
10.1016/j.nicl.2019.101709
Hansen, C. B. and Rogers, B. P. and Schilling, K. G. and Nath, V. and Blaber, J. A. and Irfanoglu, O. and Barnett, A. and Pierpaoli, C. and Anderson, A. W. and Landman, B. A.
"{{E}mpirical field mapping for gradient nonlinearity correction of multi-site diffusion weighted {M}{R}{I}}"
Magn Reson Imaging
, v.76
, 2021
, p.69--78
Hansen, C. B. and Yang, Q. and Lyu, I. and Rheault, F. and Kerley, C. and Chandio, B. Q. and Fadnavis, S. and Williams, O. and Shafer, A. T. and Resnick, S. M. and Zald, D. H. and Cutting, L. E. and Taylor, W. D. and Boyd, B. and Garyfallidi
"{{P}andora: 4-{D} {W}hite {M}atter {B}undle {P}opulation-{B}ased {A}tlases {D}erived from {D}iffusion {M}{R}{I} {F}iber {T}ractography}"
Neuroinformatics
, 2020
Hao, L. and Bao, S. and Tang, Y. and Gao, R. and Parvathaneni, P. and Miller, J. A. and Voorhies, W. and Yao, J. and Bunge, S. A. and Weiner, K. S. and Landman, B. A. and Lyu, I.
"{{A}{U}{T}{O}{M}{A}{T}{I}{C} {L}{A}{B}{E}{L}{I}{N}{G} {O}{F} {C}{O}{R}{T}{I}{C}{A}{L} {S}{U}{L}{C}{I} {U}{S}{I}{N}{G} {S}{P}{H}{E}{R}{I}{C}{A}{L} {C}{O}{N}{V}{O}{L}{U}{T}{I}{O}{N}{A}{L} {N}{E}{U}{R}{A}{L} {N}{E}{T}{W}{O}{R}{K}{S} {I}{N} {A} {D}{E}{V}{E}{L"
Proc IEEE Int Symp Biomed Imaging
, v.2020
, 2020
, p.412--415
He, Mingze and Nolen, J. Ryan and Nordlander, Josh and Cleri, Angela and McIlwaine, Nathaniel S. and Tang, Yucheng and Lu, Guanyu and Folland, Thomas G. and Landman, Bennett A. and Maria, Jon Paul and Caldwell, Joshua D.
"{Deterministic inverse design of Tamm plasmon thermal emitters with multi-resonant control}"
Nature Materials
, 2021
10.1038/s41563-021-01094-0
Huo, Yuankai and Blaber, Justin and Damon, Stephen M. and Boyd, Brian D. and Bao, Shunxing and Parvathaneni, Prasanna and Noguera, Camilo Bermudez and Chaganti, Shikha and Nath, Vishwesh and Greer, Jasmine M. and Lyu, Ilwoo and French, William R. and Newt
"{Towards Portable Large-Scale Image Processing with High-Performance Computing}"
Journal of Digital Imaging
, v.31
, 2018
, p.304--314
10.1007/s10278-018-0080-0
Huo, Yuankai and Liu, Jiaqi and Xu, Zhoubing and Harrigan, Robert L. and Assad, Albert and Abramson, Richard G. and Landman, Bennett A.
"{Robust Multicontrast MRI Spleen Segmentation for Splenomegaly Using Multi-Atlas Segmentation}"
IEEE Transactions on Biomedical Engineering
, v.65
, 2018
, p.336--343
10.1109/TBME.2017.2764752
Huo, Yuankai and Plassard, Andrew J. and Carass, Aaron and Resnick, Susan M. and Pham, Dzung L. and Prince, Jerry L. and Landman, Bennett A.
"{Consistent cortical reconstruction and multi-atlas brain segmentation}"
NeuroImage
, v.138
, 2016
, p.197--210
10.1016/j.neuroimage.2016.05.030
Huo, Yuankai and Tang, Yucheng and Chen, Yunqiang and Gao, Dashan and Han, Shizhong and Bao, Shunxing and De, Smita and Terry, James G. and Carr, Jeffrey J. and Abramson, Richard G. and Landman, Bennett A.
"{Stochastic tissue window normalization of deep learning on computed tomography}"
Journal of Medical Imaging
, v.6
, 2019
, p.1
10.1117/1.jmi.6.4.044005
Huo, Yuankai and Terry, James G. and Wang, Jiachen and Nair, Sangeeta and Lasko, Thomas A. and Freedman, Barry I. and Carr, J. Jeffery and Landman, Bennett A.
"{Fully automatic liver attenuation estimation combing CNN segmentation and morphological operations}"
Medical Physics
, v.46
, 2019
, p.3508--351
10.1002/mp.13675
Huo, Yuankai and Xu, Zhoubing and Xiong, Yunxi and Aboud, Katherine and Parvathaneni, Prasanna and Bao, Shunxing and Bermudez, Camilo and Resnick, Susan M. and Cutting, Laurie E. and Landman, Bennett A.
"{3D whole brain segmentation using spatially localized atlas network tiles}"
NeuroImage
, v.194
, 2019
, p.105--119
10.1016/j.neuroimage.2019.03.041
Hyeonsoo Moon, Yuankai Huo, Richard G. Abramson, Richard Alan Peters, Albert Assad, Tamara K. Moyo, Michael R. Savona, and Bennett A. Landman
"Acceleration of spleen segmentation with end-to-end deep learning method and automated pipeline"
Computers in biology and medicine
, 2019
Ilwoo Lyu, Hakmook Kang, Neil D. Woodard, and Bennett A. Landman
""Sulcal Depth-based Cortical Shape Analysis in NormalHealthy Control and Schizophrenia Groups""
In SPIE Medical Imaging, International Society for Optics and Photonics, 2018. (Oral presentation)
, 2018
Ilwoo Lyu, Neil Woodward, Martin Styner, Bennett Landman.
"Hierarchical Spherical Deformation for Cortical Surface Registration"
Medical Image Analysis
, 2019
J1.Yuankai Huo, Justin Blaber, Stephen M. Damon, Brian D. Boyd, Shunxing Bao, Prasanna Parvathaneni, Camilo Bermudez Noguera, Shikha Chaganti, Vishwesh Nath, Jasmine M. Greer, Ilwoo Lyu, William R. French, Allen T. Newton, Baxter P. Rogers, Bennett A. La
"?Towards Portable Large-scale Image Processing with High-Performance Computing.?"
Journal of Digital Imaging.
, 2018
J1.Yuankai Huo, Zhoubing Xu, Yunxi Xiong@, Katherine Aboud, Prasanna Parvathaneni, Shunxing Bao, Camilo Bermudez, Susan M. Resnick, Laurie E. Cutting, Bennett A. Landman
"3D Whole Brain Segmentation using Spatially Localized Atlas Network Tiles"
NeuroImage
, 2019
Jiachen Wang, Yuankai Huo, Shunxing Bao, Yunxi Xiong, Sanja L. Antic, Travis J. Osterman, Pierre P. Massion, Bennett A. Landman.
""Lung Cancer Detection using Co-learning from Chest CT Images and Clinical Demographics""
SPIE Medical Imaging, International Society for Optics and Photonics
, 2019
Justin S. Paul, Andrew J. Plassard, Bennett A. Landman, Daniel Fabbri
"Deep Learning for Brain Tumor Classification"
In Proceedings of the SPIE Medical Imaging Conference. Orlando, Florida, February 2017. Oral presentation. (Best Paper Finalist)
, 2017
Katerine Aboud, Yuankai Huo, Hakmook Kang, A. Ealey, Bennett A. Landman, Laurie E. Cutting
"Structural covariance across the lifespan: Brain development and aging through the lens of inter-network relationships"
Human Brain Mapping
, v.40
, 2019
, p.125
Katerine Aboud, Yuankai Huo, Hakmook Kang, A. Ealey, Bennett A. Landman, Laurie E. Cutting,
"Structural covariance across the lifespan: Brain development and aging through the lens of inter-network relationships."
Human Brain Mapping.
, 2019
Kurt G Schilling, Alessandro Daducci, Klaus Maier-Hein, Cyril Poupon, Jean-Christophe Houde, Vishwesh Nath, Adam W Anderson, Bennett A Landman, Maxime Descoteaux.
"Challenges in Diffusion MRI Tractography ? Lessons Learned from International Benchmark Competitions"
Magnetic Resonance Imaging.
, 2019
Law, J. J. and Mundy, K. M. and Kupcha, A. C. and Chaganti, S. and Nelson, K. M. and Harrigan, R. L. and Landman, B. A. and Mawn, L. A.
"{{C}orrelation of {A}utomated {C}omputed {T}omography {V}olumetric {A}nalysis {M}etrics {W}ith {M}otility {D}isturbances in {T}hyroid {E}ye {D}isease}"
Ophthalmic Plast Reconstr Surg
, 2020
Li, Y. and Zhang, H. and Bermudez, C. and Chen, Y. and Landman, B. A. and Vorobeychik, Y.
"{{A}natomical {C}ontext {P}rotects {D}eep {L}earning from {A}dversarial {P}erturbations in {M}edical {I}maging}"
Neurocomputing
, v.379
, 2020
, p.370--378
Li, Yi and Zhang, Huahong and Bermudez, Camilo and Chen, Yifan and Landman, Bennett A. and Vorobeychik, Yevgeniy
"{Anatomical context protects deep learning from adversarial perturbations in medical imaging}"
Neurocomputing
, v.379
, 2020
, p.370--378
10.1016/j.neucom.2019.10.085
Li, Y., Zhang, H., Bermudez, C., Chen, Y., Landman, B.A., Vorobeychik, Y.
"Anatomical Context Protects Deep Learning from Adversarial Perturbations in Medical Imaging"
Neurocomputing
, 2019
Lyu, I., Kim, S., Woodward, N., Styner, M., Landman, B.
"TRACE: A Topological Graph Representation for Automatic Sulcal Curve Extraction."
IEEE Transactions on Medical Imaging. (TMI). In Press December 2017
, 2018
Lyu, Ilwoo and Kim, Sun Hyung and Woodward, Neil D. and Styner, Martin A. and Landman, Bennett A.
"{TRACE: A Topological Graph Representation for Automatic Sulcal Curve Extraction}"
IEEE Transactions on Medical Imaging
, v.37
, 2018
, p.1653--166
10.1109/TMI.2017.2787589
Maier-Hein, Lena and Reinke, Annika and Kozubek, Michal and Martel, Anne L. and Arbel, Tal and Eisenmann, Matthias and Hanbury, Allan and Jannin, Pierre and M{\"{u}}ller, Henning and Onogur, Sinan and Saez-Rodriguez, Julio and van Ginneken, Bram and Kopp-
"{BIAS: Transparent reporting of biomedical image analysis challenges}"
Medical Image Analysis
, v.66
, 2020
, p.101796
10.1016/j.media.2020.101796
Meg F. Bobo, Shunxing Bao, Yuankai Huo, Yuang Yao, Jack Virostko, Melissa A. Hilmes, Andrew J. Plassard, Ilwoo Lyu, Albert Assad, Richard G. Abramson, Bennett A. Landman.
"?Fully Convolutional Neural Networks Improve Abdominal Organ Segmentation.?"
SPIE Medical Imaging. International Society for Optics and Photonics, 2018.
, 2018
Nath, V. and Schilling, K. G. and Parvathaneni, P. and Huo, Y. and Blaber, J. A. and Hainline, A. E. and Barakovic, M. and Romascano, D. and Rafael-Patino, J. and Frigo, M. and Girard, G. and Thiran, J. P. and Daducci, A. and Rowe, M. and Ro
"{{T}ractography reproducibility challenge with empirical data ({T}ra{C}{E}{D}): {T}he 2017 {I}{S}{M}{R}{M} diffusion study group challenge}"
J Magn Reson Imaging
, v.51
, 2020
, p.234--249
Nath, V. and Yang, D. and Landman, B. A. and Xu, D. and Roth, H. R.
"{{D}iminishing {U}ncertainty within the {T}raining {P}ool: {A}ctive {L}earning for {M}edical {I}mage {S}egmentation}"
IEEE Trans Med Imaging
, v.PP
, 2020
Nguyen, Ethan H. and Yang, Haichun and Deng, Ruining and Lu, Yuzhe and Zhu, Zheyu and Roland, Joseph T. and Lu, Le and Landman, Bennett A. and Fogo, Agnes B. and Huo, Yuankai
"{Circle Representation for Medical Object Detection}"
IEEE Transactions on Medical Imaging
, 2021
Parvathaneni, Prasanna and Nath, Vishwesh and McHugo, Maureen and Huo, Yuankai and Resnick, Susan M. and Woodward, Neil D. and Landman, Bennett A. and Lyu, Ilwoo
"{Improving human cortical sulcal curve labeling in large scale cross-sectional MRI using deep neural networks}"
Journal of Neuroscience Methods
, v.324
, 2019
, p.108311
10.1016/j.jneumeth.2019.108311
Parvathaneni, Prasanna, Ilwoo Lyu, Yuankai Huo, Baxter P. Rogers, Kurt G. Schilling, Vishwesh Nath, Justin A. Blaber Allison E Hainline; Adam W Anderson; Neil D. Woodward; Bennett A Landman
"Improved gray matter surface based spatial statistics in neuroimaging studies"
Magnetic resonance imaging
, 2019
Parvathaneni, Prasanna; Nath, Vishwesh; McHugo, Maureen; Huo, Yuankai; Resnick, Susan; Woodward, Neil; Landman, Bennett; Lyu, Ilwoo
""Improving Human Cortical Sulcal Curve Labeling in Large Scale Cross-Sectional MRI using Deep Neural Networks"
Journal of Neuroscience Methods
, 2019
Parvathaneni P., Rogers B., Huo Y., Schilling K., Hainline A., Anderson A., Woodward N., Landman B.
"?Gray Matter Surface based Spatial Statistics (GS-BSS) in Diffusion Microstructure.?"
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI). Springer. Quebec City, Canada, September 2017
, 2017
Plassard, Andrew J. and Bao, Shunxing and D'Haese, Pierre F. and Pallavaram, Srivatsan and Claassen, Daniel O. and Dawant, Benoit M. and Landman, Bennett A.
"{Multi-modal imaging with specialized sequences improves accuracy of the automated subcortical grey matter segmentation}"
Magnetic Resonance Imaging
, v.61
, 2019
, p.131--136
10.1016/j.mri.2019.05.025
Plassard, Andrew J. and Bao, Shunxing and McHugo, Maureen and Beason-Held, Lori and Blackford, Jennifer U. and Heckers, Stephan and Landman, Bennett A.
"{Automated, open-source segmentation of the Hippocampus and amygdala with the open Vanderbilt archive of the temporal lobe}"
Magnetic Resonance Imaging
, v.81
, 2021
, p.17--23
10.1016/j.mri.2021.04.011
Plassard, Andrew J. and Landman, Bennett A.
"{Multiprotocol, multiatlas statistical fusion: theory and application}"
Journal of Medical Imaging
, v.4
, 2017
, p.1
10.1117/1.jmi.4.3.034002
Prasanna Parvathaneni, Ilwoo Lyu, Justin A. Blaber, Yuankai Huo, Allison E. Hainline, Neil D. Woodward, Hakmook Kang, Bennett A. Landman
""Constructing statistically unbiased cortical surface templates using feature-space covariance""
In SPIE Medical Imaging, International Society for Optics and Photonics, 2018.
, 2018
Remedios, Lucas W. and Lingam, Sneha and Remedios, Samuel W. and Gao, Riqiang and Clark, Stephen W. and Davis, Larry T. and Landman, Bennett A.
"{Comparison of convolutional neural networks for detecting large vessel occlusion on computed tomography angiography}"
Medical Physics
, 2021
10.1002/mp.15122
Remedios, Samuel W. and Roy, Snehashis and Bermudez, Camilo and Patel, Mayur B. and Butman, John A. and Landman, Bennett A. and Pham, Dzung L.
"{Distributed deep learning across multisite datasets for generalized CT hemorrhage segmentation}"
Medical Physics
, v.47
, 2020
, p.89--98
10.1002/mp.13880
Remedios, S. W. and Roy, S. and Bermudez, C. and Patel, M. B. and Butman, J. A. and Landman, B. A. and Pham, D. L.
"{{D}istributed deep learning across multisite datasets for generalized {C}{T} hemorrhage segmentation}"
Med Phys
, v.47
, 2020
, p.89--98
Sandra Gonzalez-Villa, Arnau Oliver, Yuankai Huo, Xavier Llado, Bennett A. Landman.
"Intensity-based Multi-atlas Segmentation in the Presence of Multiple Sclerosis Lesions"
Neuroimage: Clinical.
, 2019
Schilling, K. G. and Blaber, J. and Hansen, C. and Cai, L. and Rogers, B. and Anderson, A. W. and Smith, S. and Kanakaraj, P. and Rex, T. and Resnick, S. M. and Shafer, A. T. and Cutting, L. E. and Woodward, N. and Zald, D. and Landman, B. A
"{{D}istortion correction of diffusion weighted {M}{R}{I} without reverse phase-encoding scans or field-maps}"
PLoS One
, v.15
, 2020
, p.e0236418
Schilling, K. G. and Petit, L. and Rheault, F. and Remedios, S. and Pierpaoli, C. and Anderson, A. W. and Landman, B. A. and Descoteaux, M.
"{{B}rain connections derived from diffusion {M}{R}{I} tractography can be highly anatomically accurate-if we know where white matter pathways start, where they end, and where they do not go}"
Brain Struct Funct
, v.225
, 2020
, p.2387--240
Schilling, Kurt G. and Daducci, Alessandro and Maier-Hein, Klaus and Poupon, Cyril and Houde, Jean Christophe and Nath, Vishwesh and Anderson, Adam W. and Landman, Bennett A. and Descoteaux, Maxime
"{Challenges in diffusion MRI tractography Lessons learned from international benchmark competitions}"
Magnetic Resonance Imaging
, v.57
, 2019
, p.194--209
10.1016/j.mri.2018.11.014
Schilling, Kurt G. and Tax, Chantal M.W. and Rheault, Francois and Hansen, Colin and Yang, Qi and Yeh, Fang Cheng and Cai, Leon and Anderson, Adam W. and Landman, Bennett A.
"{Fiber tractography bundle segmentation depends on scanner effects, vendor effects, acquisition resolution, diffusion sampling scheme, diffusion sensitization, and bundle segmentation workflow}"
NeuroImage
, v.242
, 2021
, p.118451
10.1016/j.neuroimage.2021.118451
S. Damon, S. Panjwani, S. Bao, P. Kochunov, B. Landman
"Integration of the Java Image Science Toolkit with E-Science Platform"
InSight Journal
, 2016
, p.963
Shikha Chaganti, Bennett A. Landman.
"?QUADRATIC: Quality of Dice in Registration Circuits.?"
In Proceedings of the SPIE Medical Imaging Conference. Houston, Texas, February 2018
, 2018
Shikha Chaganti, Katrina Nelson, Kevin Mundy, Robert Harrigan, Robert Galloway, Louise Mawn, and Bennett Landman.
"?Imaging Biomarkers in Thyroid Eye Disease and their Clinical Associations.?"
Journal of Medical Imaging.
, 2018
Shikha Chaganti, Katrina Nelson, Kevin Mundy, Yifu Luo, Robert L. Harrigan, Steve Damon, Daniel Fabbri, Louise Mawn, Bennett Landman
"Structural Functional Associations of the Orbit in Thyroid Eye Disease: Kalman Filters to Track Extraocular Muscles"
In Proceedings of the SPIE Medical Imaging Conference. San Diego, California, February 2016
, 2016
Shikha Chaganti, Kevin Mundy, Michael P. DeLisi, Katrina Nelson, Robert Harrigan, Robert Galloway, Bennett A. Landman, and Louise A. Mawn
"Assessment of Orbital Computed Tomography (CT) Imaging Biomarkers in Patients with Thyroid Eye Disease"
Journal of Digital Imaging
, 2019
Shikha Chaganti, Kunal Nabar, Thomas A. Lasko, Louise A. Mawn, Bennett A. Landman.
"EMR-Radiological Phenotypes in Diseases of the Optic Nerve and their Association with Visual Function."
Lecture Notes in Computer Science, Springer International Publishing, 2017. Quebec City, Canada. 2017
, 2017
Shikha Chaganti, Kunal P. Nabar, Katrina M. Nelson, Louise A. Mawn, Bennett A. Landman
"Phenotype Analysis of Early Risk Factors from Electronic Medical Records Improves Image-Derived Diagnostic Classifiers for Optic Nerve Pathology"
In Proceedings of the SPIE Medical Imaging Conference. Orlando, Florida, February 2017. Oral presentation.
, 2017
Shikha Chaganti, Louise A. Mawn, Hakmook Kang, Josephine Egan, Susan M. Resnick, Lori L. Beason-Held, Bennett A. Landman, Thomas A. Lasko
"Electronic Medical Record Context Signatures Improve Diagnostic Classification using Medical Image Computing"
Journal of Biomedical and Health Informatics.
, 2019
Shikha Chaganti, Valerie F. Welty, Warren Taylor, Kimberly Albert, Michelle D. Failla, Carissa Cascio, Seth Smith, Louise Mawn, Susan M. Resnick, Lori L. Beason-Held, Francesca Bagnato, Thomas Lasko, Jeffrey D. Blume, Bennett A. Landman
"Discovering novel disease comorbidities using electronic medical records"
PLoS One
, 2019
Shikha Chaganti, Andrew J. Plassard, Laura Wilson, Miya A. Smith, Mayur B. Patel, Bennett A. Landman
"A Bayesian Framework for Early Risk Prediction in Traumatic Brain Injury. "
In Proceedings of the SPIE Medical Imaging Conference. San Diego, California, February 2016.
, 2016
Shunxing Bao, Andrew J. Plassard, Bennett A. Landman, Aniruddha Gokhale.
"?Cloud Engineering Principles and Technology Enablers for Medical Image Processing-as-a-Service.?"
IEEE International Conference on Cloud Engineering (IC2E), Vancouver, Canada, April 2017.
, 2018
Shunxing Bao, Andrew J. Plassard, Bennett A. Landman, Aniruddha Gokhale.
"Cloud Engineering Principles and Technology Enablers for Medical Image Processing-as-a-Service"
IEEE International Conference on Cloud Engineering (IC2E)
, 2017
Shunxing Bao, Camilo Bermudez, Yuankai Huo, Prasanna Parvathaneni, William Rodriguez, Pierre-Franรงois DHaese, Maureen McHugo, Stephan Heckers, Benoit M. Dawant, Ilwoo Lyu, Bennett A. Landman
"Registration-based Image Enhancement Improves Multi-Atlas Segmentation of the Thalamic Nuclei and Hippocampal Subfields"
Magnetic Resonance Imaging
, 2019
Shunxing Bao, Frederick D. Weitendorf, Andrew J. Plassard, Yuankai Huo, Aniruddha Gokhale, Bennett A. Landman
"Theoretical and Empirical Comparison of Big Data Image Processing with Apache Hadoop and Sun Grid Engine"
In Proceedings of the SPIE Medical Imaging Conference. Orlando
, 2017
Shunxing Bao, Prasanna Parvathaneni, Yuankai Huo, Yogesh Barve, Andrew J. Plassard, Yuang Yao, Hongyang Sun, Ilwoo Lyu, David H. Zald, Bennett A. Landman and Aniruddha Gokhale.
""Technology Enablers for Cloud-based Multi-level Analysis Applications in Medical Image Processing""
IEEE BigData
, 2018
Shunxing Bao, Stephen M. Damon, Bennett A. Landman, Aniruddha Gokhale
"Performance Management of High Performance Computing for Medical Image Processing in Amazon Web Services"
In Proceedings of the SPIE Medical Imaging Conference. San Diego, California, February 2016.
, 2016
Shunxing Bao, Yuankai Huo, Prasanna Parvathaneni, Andrew J. Plassard, Camilo Bermudez, Yuang Yao, Ilwoo Lyu, Aniruddha Gokhale and Bennett A. Landman.
""A Data Colocation Grid Framework for Big Data Medical Image Processing ? Backend Design.""
In SPIE Medical Imaging, International Society for Optics and Photonics, 2018.
, 2018
Stephen M. Damon, Brian D. Boyd, Andrew J. Plassard, Warren Taylor, Bennett A. Landman
"DAX - The Next Generation: Towards One Million Processes on Commodity Hardware"
Proceedings of the SPIE Medical Imaging Conference. Orlando, Florida, February 2017. Oral presentation.
, 2017
Tang, Y. and Gao, R. and Chen, Y. and Gao, D. and Savona, M. R. and Abramson, R. G. and Bao, S. and Huo, Y. and Landman, B. A.
"{{L}earning from dispersed manual annotations with an optimized data weighting policy}"
J Med Imaging (Bellingham)
, v.7
, 2020
, p.044002
Tang, Y. and Gao, R. and Lee, H. H. and Han, S. and Chen, Y. and Gao, D. and Nath, V. and Bermudez, C. and Savona, M. R. and Abramson, R. G. and Bao, S. and Lyu, I. and Huo, Y. and Landman, B. A.
"{{H}igh-resolution 3{D} abdominal segmentation with random patch network fusion}"
Med Image Anal
, v.69
, 2021
, p.101894
Tang, Yucheng and Gao, Riqiang and Chen, Yunqiang and Gao, Dashan and Savona, Michael R. and Abramson, Richard G. and Bao, Shunxing and Huo, Yuankai and Landman, Bennett A.
"{Learning from dispersed manual annotations with an optimized data weighting policy}"
Journal of Medical Imaging
, v.7
, 2020
, p.1
10.1117/1.jmi.7.4.044002
Tang, Yucheng and Gao, Riqiang and Han, Shizhong and Chen, Yunqiang and Gao, Dashan and Nath, Vishwesh and Bermudez, Camilo and Savona, Michael R. and Bao, Shunxing and Lyu, Ilwoo and Huo, Yuankai and Landman, Bennett A.
"{Body Part Regression with Self-Supervision}"
IEEE Transactions on Medical Imaging
, v.40
, 2021
, p.1499--150
10.1109/TMI.2021.3058281
Tang, Yucheng and Gao, Riqiang and Lee, Ho Hin and Chen, Yunqiang and Gao, Dashan and Bermudez, Camilo and Bao, Shunxing and Huo, Yuankai and Savoie, Brent V. and Landman, Bennett A.
"{Phase identification for dynamic CT enhancements with generative adversarial network}"
Medical Physics
, v.48
, 2021
, p.1276--128
10.1002/mp.14706
Tang, Yucheng and Gao, Riqiang and Lee, Ho Hin and Han, Shizhong and Chen, Yunqiang and Gao, Dashan and Nath, Vishwesh and Bermudez, Camilo and Savona, Michael R. and Abramson, Richard G. and Bao, Shunxing and Lyu, Ilwoo and Huo, Yuankai and Landman, Benn
"{High-resolution 3D abdominal segmentation with random patch network fusion}"
Medical Image Analysis
, v.69
, 2021
, p.101894
10.1016/j.media.2020.101894
Taylor, W. D. and Deng, Y. and Boyd, B. D. and Donahue, M. J. and Albert, K. and McHugo, M. and Gandelman, J. A. and Landman, B. A.
"{{M}edial temporal lobe volumes in late-life depression: effects of age and vascular risk factors}"
Brain Imaging Behav
, v.14
, 2020
, p.19--29
Xiuya Yao, Shikha Chaganti, Kunal P. Nabar, Katrina Nelson, Andrew Plassard, Rob L. Harrigan, Louise A. Mawn, Bennett A. Landman
"Structural-Functional Relationships Between Eye Orbital Imaging Biomarkers and Clinical Visual Assessments"
In Proceedings of the SPIE Medical Imaging Conference. Orlando, Florida, February 2017. Oral presentation.
, 2017
Xu, Kaiwen and Gao, Riqiang and Khan, Mirza and Bao, Shunxing and Tang, Yucheng and Deppen, Steve and Huo, Yuankai and Sandler, Kim and Massion, Pierre and Heinrich, Mattias P. and Landman, Bennett A.
"{Development and characterization of a chest CT atlas}"
arXiv preprint arXiv:2012.03124
, 2021
, p.48
10.1117/12.2580800
Xu, Zhoubing and Gertz, Adam L. and Burke, Ryan P. and Bansal, Neil and Kang, Hakmook and Landman, Bennett A. and Abramson, Richard G.
"{Improving Spleen Volume Estimation Via Computer-assisted Segmentation on Clinically Acquired CT Scans}"
Academic Radiology
, v.23
, 2016
, p.1214--122
10.1016/j.acra.2016.05.015
Xu, Zhoubing; Benjamin Conrad; Rebeccah Baucom; Seth Smith; Benjamin Poulose; Landman, Bennett
"Abdomen and spinal cord segmentation with augmented active shape models"
Journal of Medical Imaging
, v.3
, 2016
, p.036002
Yang, Haichun and Deng, Ruining and Lu, Yuzhe and Zhu, Zheyu and Chen, Ye and Roland, Joseph T. and Lu, Le and Landman, Bennett A. and Fogo, Agnes B. and Huo, Yuankai
"{CircleNet: Anchor-Free Glomerulus Detection with Circle Representation}"
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
, v.12264 L
, 2020
, p.35--44
10.1007/978-3-030-59719-1_4
Yuang Yao, Christopher P. Lee, Peiyao Li, Sharo T. Hawrami
"Software Design and Interfaces Implementation for the Augmented Reality Mirror Project"
Vanderbilt Undergraduate Research Journal
, 2016
Yuankai Huo, Aaron Carass, Susan M. Resnick, Dzung L. Pham, Jerry L. Prince, Bennett A. Landman
"Combining Multi-atlas Segmentation with Brain Surface Estimation"
In Proceedings of the SPIE Medical Imaging Conference 2016. Oral presentation.
, 2016
Yuankai Huo, Aaron Carass, Susan M. Resnick, Dzung L. Pham, Jerry L. Prince, Bennett A. Landman
"Consistent Cortical Reconstruction and Multi-atlas Brain Segmentation"
NeuroImage
, 2016
Yuankai Huo, Andrew J. Asman, Andrew J. Plassard, Bennett A. Landman
"Simultaneous total intracranial volume and posterior fossa volume estimation using multi?atlas label fusion"
Human Brain Mapping
, v.38
, 2017
, p.599
10.1002/hbm.23432.
Yuankai Huo, Andrew J. Asman, Andrew J. Plassard, Bennett A. Landman.
"?Simultaneous total intracranial volume and posterior fossa volume estimation using multi?atlas label fusion.?"
Human Brain Mapping. 2017 Feb;38(2):599-616. doi: 10.1002/hbm.23432. PMC5225112
, 2018
Yuankai Huo, James G. Terry, Jiachen Wang, Sangeeta Nair, Thomas A. Lasko, Barry I. Freedman, J. Jeffery Carr and Bennett A. Landman
"Fully automatic liver attenuation estimation combing CNN segmentation and morphological operations"
Medical Physics
, 2019
Yuankai Huo, James G. Terry, Jiachen Wang, Vishwesh Nath, Camilo Bermudez, Shunxing Bao, Prasanna Parvathaneni, J. Jeffery Carr, and Bennett A. Landman
""Coronary Calcium Detection using 3D Attention Identical Dual Deep Network Based on Weakly Supervised Learning.""
SPIE Medical Imaging, International Society for Optics and Photonics,
, 2019
Yuankai Huo, Jiaqi Liu, Zhoubing Xu, Robert L. Harrigan, Albert Assad, Richard G. Abramson, Bennett A. Landman
"Multi-atlas Segmentation Enables Robust Multi-contrast MRI Spleen Segmentation for Splenomegaly"
Proceedings of the SPIE Medical Imaging Conference. Orlando, Florida, February 2017. Oral presentation.
, 2017
Yuankai Huo, Jiaqi Liu, Zhoubing Xu, Robert L. Harrigan, Albert Assad, Richard G. Abramson, Bennett A. Landman.
"?Robust Multi-contrast MRI Spleen Segmentation for Splenomegaly using Multi-atlas Segmentation?"
IEEE Transactions on Biomedical Engineering. In press October 2017
, 2018
Yuankai Huo, Katherine Aboud, Hakmook Kang, Laurie E. Cutting, Bennett A. Landman
"Mapping Lifetime Brain Volumetry with Covariate-Adjusted Restricted Cubic Spline Regression from Cross-sectional Multi-site MRI"
In International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI)
, 2016
Yuankai Huo, Shunxing Bao, Prasanna Parvathaneni, and Bennett A. Landman.
""Improved stability of whole brain surface parcellation with multi-atlas segmentation.""
In SPIE Medical Imaging, International Society for Optics and Photonics, 2018.
, 2018
Yuankai Huo, Susan M. Resnick, Bennett A. Landman
"4D Multi-atlas Label Fusion using Longitudinal Images"
" International Workshop on Patch-based Techniques in Medical Imaging. Lecture Notes in Computer Science, Springer International Publishing
, 2017
Yuankai Huo, Yucheng Tang, Yunqiang Chen, Dashan Gao, Shizhong Han, Shunxing Bao, Smita De, James Terry, Jeffrey Carr, Richard Abramson, and Bennett Landman
"Stochastic Tissue Window Normalization of Deep Learning on CT"
Journal of Medical Imaging
, 2019
Yuankai Huo, Zhoubing Xu, Hyeonsoo Moon, Shunxing Bao, Albert Assad, Tamara K. Moyo, Michael R. Savona, Richard G. Abramson, Bennett A. Landman.
""SynSeg-Net: Synthetic Segmentation Without Target Modality Ground Truth"."
IEEE Transactions on Medical Imaging.
, 2018
Yuankai Huo, Zhoubing Xu, Katherine Aboud, Prasanna Parvathaneni, Shunxing Bao, Camilo Bermudez, Laurie E. Cutting, Susan M. Resnick, and Bennett A. Landman.
"Spatially Localized Atlas Network Tiles Enables 3D Whole Brain Segmentation from Limited Data"
MICCAI
, 2018
Yuankai Huo, Zhoubing Xu, Shunxing Bao, Albert Assad, Richard G. Abramson and Bennett A. Landman.
""Adversarial Synthesis Learning Enables Segmentation without Target Modality Ground Truth.""
IEEE ISBI
, 2018
Yuankai Huo, Zhoubing Xu, Shunxing Bao, Albert Assad, Richard G. Abramson and Bennett A. Landman.
""Adversarial Synthesis Learning Enables Segmentation without Target Modality Ground Truth.""
IEEE ISBI. Washington, DC. 2018
, 2018
Yuankai Huo, Zhoubing Xu, Shunxing Bao, Camilo Bermudez, Andrew J. Plassard, Jiaqi Liu, Yuang Yao, Albert Assad, Richard G. Abramson, and Bennett A. Landman.
""Splenomegaly segmentation using global convolutional kernels and conditional generative adversarial networks.""
In SPIE Medical Imaging, International Society for Optics and Photonics, 2018.
, 2018
Yuankai Huo, Zhoubing Xu, Shunxing Bao, Camilo Bermudez, Hyeonsoo Moon, Prasanna Parvathaneni, Tamara K. Moyo, Michael R. Savona, Albert Assad, Richard G. Abramson, and Bennett A. Landman.
""Splenomegaly Segmentation on Multi-modal MRI using Deep Convolutional Networks""
IEEE Transaction on Medical Imaging.
, 2019
Yu, Chang and Liu, Yue and Cai, Leon Y. and Kerley, Cailey I. and Xu, Kaiwen and Taylor, Warren D. and Kang, Hakmook and Shafer, Andrea T. and Beason-Held, Lori L. and Resnick, Susan M. and Landman, Bennett A. and Lyu, Ilwoo
"{Validation of group-wise registration for surface-based functional MRI analysis}"
Proc SPIE
, 2021
, p.65
10.1117/12.2580771
Yucheng Tang, Yuankai Huo, Yunxi Xiong, Hyeonsoo Moon, Albert Assad,Tamara K. Moyo, Michael R. Savona, Richard G. Abramson, and Bennett A. Landman.
""Improving Splenomegaly Segmentation by Learning from Heterogeneous Multi-Source Labels.""
SPIE Medical Imaging, Image Processing
, 2019
Yunxi Xiong, Yuankai Huo, Jiachen Wang, L. Taylor Davis, Maureen McHugo, Bennett A. Landman.
""Reproducibility Evaluation of SLANT Whole Brain Segmentation Across Clinical Magnetic Resonance Imaging Protocols.""
SPIE Medical Imaging, International Society for Optics and Photonics
, 2019
Zhao, Mengyang and Jha, Aadarsh and Liu, Quan and Millis, Bryan A. and Mahadevan-Jansen, Anita and Lu, Le and Landman, Bennett A. and Tyska, Matthew J. and Huo, Yuankai
"{Faster Mean-shift: GPU-accelerated clustering for cosine embedding-based cell segmentation and tracking}"
Medical Image Analysis
, v.71
, 2021
, p.102048
10.1016/j.media.2021.102048
Zhoubing Xu, Rebeccah B. Baucom, Richard G. Abramson, Benjamin K. Poulose, Bennett A. Landman
"Whole Abdominal Wall Segmentation using Augmented Active Shape Models (AASM) with Multi-Atlas Label Fusion and Level Set"
In Proceedings of the SPIE Medical Imaging Conference. San Diego, California, February 2016. Oral presentation.
, 2016
(Showing: 1 - 10 of 134)
(Showing: 1 - 134 of 134)