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2020 – today
- 2023
[j12]Yue Liu
, Shunxing Bao, Dario J. Englot, Victoria L. Morgan, Warren D. Taylor, Ying Wei, Ipek Oguz, Bennett A. Landman, Ilwoo Lyu:
Hierarchical particle optimization for cortical shape correspondence in temporal lobe resection. Comput. Biol. Medicine 152: 106414 (2023)- [i36]Zhuangwei Kang, Yogesh D. Barve, Shunxing Bao, Abhishek Dubey, Aniruddha Gokhale:
DMSConfig: Automated Configuration Tuning for Distributed IoT Message Systems Using Deep Reinforcement Learning. CoRR abs/2302.09146 (2023) - [i35]Ho Hin Lee, Quan Liu, Shunxing Bao, Qi Yang, Xin Yu, Leon Y. Cai, Thomas Li, Yuankai Huo, Xenofon D. Koutsoukos, Bennett A. Landman:
Scaling Up 3D Kernels with Bayesian Frequency Re-parameterization for Medical Image Segmentation. CoRR abs/2303.05785 (2023) - [i34]Ruining Deng, Can Cui, Lucas W. Remedios, Shunxing Bao, R. Michael Womick, Sophie Chiron, Jia Li, Joseph T. Roland, Ken S. Lau, Qi Liu, Keith T. Wilson, Yaohong Wang, Lori A. Coburn, Bennett A. Landman, Yuankai Huo:
Cross-scale Multi-instance Learning for Pathological Image Diagnosis. CoRR abs/2304.00216 (2023) - [i33]Ruining Deng, Can Cui, Quan Liu, Tianyuan Yao, Lucas W. Remedios, Shunxing Bao, Bennett A. Landman, Lee E. Wheless, Lori A. Coburn, Keith T. Wilson, Yaohong Wang, Shilin Zhao, Agnes B. Fogo, Haichun Yang, Yucheng Tang, Yuankai Huo:
Segment Anything Model (SAM) for Digital Pathology: Assess Zero-shot Segmentation on Whole Slide Imaging. CoRR abs/2304.04155 (2023) - [i32]Lucas W. Remedios, Leon Y. Cai, Samuel W. Remedios, Karthik Ramadass, Aravind R. Krishnan, Ruining Deng, Can Cui, Shunxing Bao, Lori A. Coburn, Yuankai Huo, Bennett A. Landman:
Exploring shared memory architectures for end-to-end gigapixel deep learning. CoRR abs/2304.12149 (2023) - 2022
- [j11]Ho Hin Lee, Yucheng Tang, Kaiwen Xu, Shunxing Bao, Agnes B. Fogo, Raymond Harris, Mark P. de Caestecker, Mattias P. Heinrich, Jeffrey M. Spraggins, Yuankai Huo, Bennett A. Landman:
Multi-contrast computed tomography healthy kidney atlas. Comput. Biol. Medicine 146: 105555 (2022) - [j10]Praitayini Kanakaraj, Karthik Ramadass, Shunxing Bao, Melissa A. Basford, Laura M. Jones, Ho Hin Lee, Kaiwen Xu, Kurt G. Schilling, John Jeffrey Carr, James G. Terry, Yuankai Huo, Kim L. Sandler, Allen T. Netwon, Bennett A. Landman:
Workflow Integration of Research AI Tools into a Hospital Radiology Rapid Prototyping Environment. J. Digit. Imaging 35(4): 1023-1033 (2022) - [j9]Shunxing Bao, Brian D. Boyd, Praitayini Kanakaraj, Karthik Ramadass, Francisco A. C. Meyer, Yuqian Liu, William E. Duett, Yuankai Huo, Ilwoo Lyu, David H. Zald, Seth A. Smith, Baxter P. Rogers, Bennett A. Landman:
Integrating the BIDS Neuroimaging Data Format and Workflow Optimization for Large-Scale Medical Image Analysis. J. Digit. Imaging 35(6): 1576-1589 (2022) - [c31]Shuang Zhou, Yuankai Huo, Shunxing Bao, Bennett A. Landman, Aniruddha Gokhale:
FedACA: An Adaptive Communication-Efficient Asynchronous Framework for Federated Learning. ACSOS 2022: 71-80 - [c30]Xingyu Zhou, Robert Canady, Yi Li, Shunxing Bao, Yogesh D. Barve, Daniel Balasubramanian, Aniruddha Gokhale:
Guarding Against Universal Adversarial Perturbations in Data-driven Cloud/Edge Services. IC2E 2022: 233-244 - [c29]Ruining Deng, Can Cui, Lucas W. Remedios, Shunxing Bao, R. Michael Womick, Sophie Chiron, Jia Li, Joseph T. Roland, Ken S. Lau, Qi Liu, Keith T. Wilson, Yaohong Wang, Lori A. Coburn, Bennett A. Landman, Yuankai Huo:
Cross-Scale Attention Guided Multi-instance Learning for Crohn's Disease Diagnosis with Pathological Images. MMMI@MICCAI 2022: 24-33 - [c28]Shunxing Bao, Jia Li, Can Cui, Yucheng Tang, Ruining Deng, Lucas W. Remedios, Ho Hin Lee, Sophie Chiron, Nathan Heath Patterson, Ken S. Lau, Lori A. Coburn, Keith T. Wilson, Joseph T. Roland, Bennett A. Landman, Qi Liu, Yuankai Huo:
MxIF Q-score: Biology-Informed Quality Assurance for Multiplexed Immunofluorescence Imaging. MOVI@MICCAI 2022: 42-52 - [c27]Xin Yu, Qi Yang, Yucheng Tang, Riqiang Gao, Shunxing Bao, Leon Y. Cai, Ho Hin Lee, Yuankai Huo, Ann Zenobia Moore, Luigi Ferrucci, Bennett A. Landman:
Reducing Positional Variance in Cross-sectional Abdominal CT Slices with Deep Conditional Generative Models. MICCAI (8) 2022: 202-212 - [i31]Xin Yu, Yucheng Tang, Yinchi Zhou, Riqiang Gao, Qi Yang, Ho Hin Lee, Thomas Z. Li, Shunxing Bao, Yuankai Huo, Zhoubing Xu, Thomas A. Lasko, Richard G. Abramson, Bennett A. Landman:
Characterizing Renal Structures with 3D Block Aggregate Transformers. CoRR abs/2203.02430 (2022) - [i30]Ho Hin Lee, Yucheng Tang, Riqiang Gao, Qi Yang, Xin Yu, Shunxing Bao, James G. Terry, John Jeffrey Carr, Yuankai Huo, Bennett A. Landman:
Pseudo-Label Guided Multi-Contrast Generalization for Non-Contrast Organ-Aware Segmentation. CoRR abs/2205.05898 (2022) - [i29]Ruining Deng, Can Cui, Lucas W. Remedios, Shunxing Bao, R. Michael Womick, Sophie Chiron, Jia Li, Joseph T. Roland, Ken S. Lau, Qi Liu, Keith T. Wilson, Yaohong Wang, Lori A. Coburn, Bennett A. Landman, Yuankai Huo:
Cross-scale Attention Guided Multi-instance Learning for Crohn's Disease Diagnosis with Pathological Images. CoRR abs/2208.07322 (2022) - [i28]Tianyuan Yao, Chang Qu, Jun Long, Quan Liu, Ruining Deng, Yuanhan Tian, Jiachen Xu, Aadarsh Jha, Zuhayr Asad, Shunxing Bao, Mengyang Zhao, Agnes B. Fogo, Bennett A. Landman, Haichun Yang, Catie Chang, Yuankai Huo:
Compound Figure Separation of Biomedical Images: Mining Large Datasets for Self-supervised Learning. CoRR abs/2208.14357 (2022) - [i27]Xin Yu, Yucheng Tang, Qi Yang, Ho Hin Lee, Riqiang Gao, Shunxing Bao, Ann Zenobia Moore, Luigi Ferrucci, Bennett A. Landman:
Longitudinal Variability Analysis on Low-dose Abdominal CT with Deep Learning-based Segmentation. CoRR abs/2209.14217 (2022) - [i26]Xin Yu, Qi Yang, Yinchi Zhou, Leon Y. Cai, Riqiang Gao, Ho Hin Lee, Thomas Z. Li, Shunxing Bao, Zhoubing Xu, Thomas A. Lasko, Richard G. Abramson, Zizhao Zhang, Yuankai Huo, Bennett A. Landman, Yucheng Tang:
UNesT: Local Spatial Representation Learning with Hierarchical Transformer for Efficient Medical Segmentation. CoRR abs/2209.14378 (2022) - [i25]Xin Yu, Qi Yang, Yucheng Tang, Riqiang Gao, Shunxing Bao, Leon Y. Cai, Ho Hin Lee, Yuankai Huo, Ann Zenobia Moore, Luigi Ferrucci, Bennett A. Landman:
Reducing Positional Variance in Cross-sectional Abdominal CT Slices with Deep Conditional Generative Models. CoRR abs/2209.14467 (2022) - [i24]Ho Hin Lee, Shunxing Bao, Yuankai Huo, Bennett A. Landman:
3D UX-Net: A Large Kernel Volumetric ConvNet Modernizing Hierarchical Transformer for Medical Image Segmentation. CoRR abs/2209.15076 (2022) - [i23]Ho Hin Lee, Yucheng Tang, Han Liu, Yubo Fan, Leon Y. Cai, Qi Yang, Xin Yu, Shunxing Bao, Yuankai Huo, Bennett A. Landman:
Adaptive Contrastive Learning with Dynamic Correlation for Multi-Phase Organ Segmentation. CoRR abs/2210.08652 (2022) - [i22]Qi Yang, Xin Yu, Ho Hin Lee, Leon Y. Cai, Kaiwen Xu, Shunxing Bao, Yuankai Huo, Ann Zenobia Moore, Sokratis Makrogiannis, Luigi Ferrucci, Bennett A. Landman:
Single Slice Thigh CT Muscle Group Segmentation with Domain Adaptation and Self-Training. CoRR abs/2212.00059 (2022) - 2021
- [j8]Yucheng Tang, Riqiang Gao, Ho Hin Lee, Shizhong Han, Yunqiang Chen, Dashan Gao, Vishwesh Nath, Camilo Bermudez, Michael R. Savona, Richard G. Abramson, Shunxing Bao, Ilwoo Lyu, Yuankai Huo, Bennett A. Landman:
High-resolution 3D abdominal segmentation with random patch network fusion. Medical Image Anal. 69: 101894 (2021) - [j7]Yucheng Tang, Riqiang Gao, Shizhong Han, Yunqiang Chen, Dashan Gao, Vishwesh Nath, Camilo Bermudez, Michael R. Savona, Shunxing Bao, Ilwoo Lyu, Yuankai Huo, Bennett A. Landman:
Body Part Regression With Self-Supervision. IEEE Trans. Medical Imaging 40(5): 1499-1507 (2021) - [c26]Ziran Min, Hongyang Sun, Shunxing Bao, Aniruddha S. Gokhale, Swapna S. Gokhale:
A Self-Adaptive Load Balancing Approach for Software-Defined Networks in IoT. ACSOS 2021: 11-20 - [c25]Shunxing Bao, Yucheng Tang, Ho Hin Lee, Riqiang Gao, Sophie Chiron, Ilwoo Lyu, Lori A. Coburn, Keith T. Wilson, Joseph T. Roland, Bennett A. Landman, Yuankai Huo:
Random Multi-Channel Image Synthesis for Multiplexed Immunofluorescence Imaging. COMPAY@MICCAI 2021: 36-46 - [c24]Zhuangwei Kang, Yogesh D. Barve, Shunxing Bao, Abhishek Dubey, Aniruddha Gokhale:
Configuration Tuning for Distributed IoT Message Systems Using Deep Reinforcement Learning: Poster Abstract. IoTDI 2021: 273-274 - [c23]Ho Hin Lee, Yucheng Tang, Shunxing Bao, Richard G. Abramson, Yuankai Huo, Bennett A. Landman:
Rap-Net: Coarse-To-Fine Multi-Organ Segmentation With Single Random Anatomical Prior. ISBI 2021: 1491-1494 - [c22]Yucheng Tang, Riqiang Gao, Ho Hin Lee, Qi Yang, Xin Yu, Yuyin Zhou, Shunxing Bao, Yuankai Huo, Jeffrey M. Spraggins, Jack Virostko, Zhoubing Xu, Bennett A. Landman:
Pancreas CT Segmentation by Predictive Phenotyping. MICCAI (1) 2021: 25-35 - [c21]Ruining Deng, Quan Liu, Shunxing Bao, Aadarsh Jha, Catie Chang, Bryan A. Millis, Matthew J. Tyska, Yuankai Huo:
CaCL: Class-Aware Codebook Learning for Weakly Supervised Segmentation on Diffuse Image Patterns. DGM4MICCAI/DALI@MICCAI 2021: 93-102 - [c20]Tianyuan Yao, Chang Qu, Quan Liu, Ruining Deng, Yuanhan Tian, Jiachen Xu, Aadarsh Jha, Shunxing Bao, Mengyang Zhao, Agnes B. Fogo, Bennett A. Landman, Catie Chang, Haichun Yang, Yuankai Huo:
Compound Figure Separation of Biomedical Images with Side Loss. DGM4MICCAI/DALI@MICCAI 2021: 173-183 - [i21]Ho Hin Lee, Yucheng Tang, Qi Yang, Xin Yu, Shunxing Bao, Bennett A. Landman, Yuankai Huo:
Attention-Guided Supervised Contrastive Learning for Semantic Segmentation. CoRR abs/2106.01596 (2021) - [i20]Tianyuan Yao, Chang Qu, Quan Liu, Ruining Deng, Yuanhan Tian, Jiachen Xu, Aadarsh Jha, Shunxing Bao, Mengyang Zhao, Agnes B. Fogo, Bennett A. Landman, Catie Chang, Haichun Yang, Yuankai Huo:
Compound Figure Separation of Biomedical Images with Side Loss. CoRR abs/2107.08650 (2021) - [i19]Shunxing Bao, Yucheng Tang, Ho Hin Lee, Riqiang Gao, Sophie Chiron, Ilwoo Lyu, Lori A. Coburn, Keith T. Wilson, Joseph T. Roland, Bennett A. Landman, Yuankai Huo:
Random Multi-Channel Image Synthesis for Multiplexed Immunofluorescence Imaging. CoRR abs/2109.09004 (2021) - 2020
- [j6]Riqiang Gao, Yuankai Huo, Shunxing Bao, Yucheng Tang, Sanja L. Antic, Emily S. Epstein, Steve Deppen, Alexis B. Paulson, Kim L. Sandler, Pierre P. Massion, Bennett A. Landman:
Multi-path x-D recurrent neural networks for collaborative image classification. Neurocomputing 397: 48-59 (2020) - [j5]Riqiang Gao, Yucheng Tang, Kaiwen Xu, Yuankai Huo, Shunxing Bao, Sanja L. Antic, Emily S. Epstein, Steve Deppen, Alexis B. Paulson, Kim L. Sandler, Pierre P. Massion, Bennett A. Landman:
Time-distanced gates in long short-term memory networks. Medical Image Anal. 65: 101785 (2020) - [c19]Xingyu Zhou, Robert Canady, Shunxing Bao, Aniruddha Gokhale:
Cost-effective Hardware Accelerator Recommendation for Edge Computing. HotEdge 2020 - [c18]Lingyan Hao, Shunxing Bao, Yucheng Tang, Riqiang Gao, Prasanna Parvathaneni, Jacob A. Miller, Willa Voorhies, Jewelia Yao, Silvia A. Bunge, Kevin S. Weiner, Bennett A. Landman, Ilwoo Lyu:
Automatic Labeling of Cortical Sulci Using Spherical Convolutional Neural Networks in a Developmental Cohort. ISBI 2020: 412-415 - [c17]Yucheng Tang, Riqiang Gao, Ho Hin Lee, Quinn Stanton Wells, Ashley Spann, James G. Terry, John Jeffrey Carr, Yuankai Huo, Shunxing Bao, Bennett A. Landman:
Prediction of Type II Diabetes Onset with Computed Tomography and Electronic Medical Records. ML-CDS/CLIP@MICCAI 2020: 13-23 - [i18]Ruining Deng, Quan Liu, Shunxing Bao, Aadarsh Jha, Catie Chang, Bryan A. Millis, Matthew J. Tyska, Yuankai Huo:
CaCL: Class-aware Codebook Learning for Weakly Supervised Segmentation on Diffuse Image Patterns. CoRR abs/2011.00794 (2020) - [i17]Kaiwen Xu, Riqiang Gao, Mirza S. Khan, Shunxing Bao, Yucheng Tang, Steve A. Deppen, Yuankai Huo, Kim L. Sandler, Pierre P. Massion, Mattias P. Heinrich, Bennett A. Landman:
Development and Characterization of a Chest CT Atlas. CoRR abs/2012.03124 (2020) - [i16]Ho Hin Lee, Yucheng Tang, Shunxing Bao, Richard G. Abramson, Yuankai Huo, Bennett A. Landman:
RAP-Net: Coarse-to-Fine Multi-Organ Segmentation with Single Random Anatomical Prior. CoRR abs/2012.12425 (2020) - [i15]Ho Hin Lee, Yucheng Tang, Kaiwen Xu, Shunxing Bao, Agnes B. Fogo, Raymond Harris, Mark P. de Caestecker, Mattias P. Heinrich, Jeffrey M. Spraggins, Yuankai Huo, Bennett A. Landman:
Multi-Contrast Computed Tomography Healthy Kidney Atlas. CoRR abs/2012.12432 (2020)
2010 – 2019
- 2019
- [j4]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 194: 105-119 (2019) - [j3]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 Trans. Medical Imaging 38(4): 1016-1025 (2019) - [j2]Yuankai Huo, Zhoubing Xu, Shunxing Bao, Camilo Bermudez, Hyeonsoo Moon, Prasanna Parvathaneni, Tamara K. Moyo, Michael R. Savona, Albert Assad, Richard G. Abramson, Bennett A. Landman:
Splenomegaly Segmentation on Multi-Modal MRI Using Deep Convolutional Networks. IEEE Trans. Medical Imaging 38(5): 1185-1196 (2019) - [c16]Anirban Bhattacharjee, Yogesh D. Barve, Shweta Khare, Shunxing Bao, Zhuangwei Kang, Aniruddha Gokhale, Thomas Damiano:
STRATUM: A BigData-as-a-Service for Lifecycle Management of IoT Analytics Applications. IEEE BigData 2019: 1607-1612 - [c15]Riqiang Gao, Yuankai Huo, Shunxing Bao, Yucheng Tang, Sanja L. Antic, Emily S. Epstein, Aneri B. Balar, Steve Deppen, Alexis B. Paulson, Kim L. Sandler, Pierre P. Massion, Bennett A. Landman:
Distanced LSTM: Time-Distanced Gates in Long Short-Term Memory Models for Lung Cancer Detection. MLMI@MICCAI 2019: 310-318 - [c14]Prasanna Parvathaneni, Shunxing Bao, Vishwesh Nath, Neil D. Woodward, Daniel O. Claassen, Carissa J. Cascio, David H. Zald, Yuankai Huo, Bennett A. Landman, Ilwoo Lyu:
Cortical Surface Parcellation Using Spherical Convolutional Neural Networks. MICCAI (3) 2019: 501-509 - [c13]Jiachen Wang, Riqiang Gao, 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. Medical Imaging: Image Processing 2019: 109491G - [c12]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. Medical Imaging: Image Processing 2019: 109492U - [c11]Yuankai Huo, James G. Terry, Jiachen Wang, Vishwesh Nath, Camilo Bermudez, Shunxing Bao, Prasanna Parvathaneni, John Jeffrey Carr, Bennett A. Landman:
Coronary calcium detection using 3D attention identical dual deep network based on weakly supervised learning. Medical Imaging: Image Processing 2019: 1094917 - [c10]Anirban Bhattacharjee, Yogesh D. Barve, Shweta Khare, Shunxing Bao, Aniruddha Gokhale, Thomas Damiano:
Stratum: A Serverless Framework for the Lifecycle Management of Machine Learning-based Data Analytics Tasks. OpML 2019: 59-61 - [i14]Jiachen Wang, Riqiang Gao, Yuankai Huo, Shunxing Bao, Yunxi Xiong, Sanja Antic, Travis Osterman, Pierre P. Massion, Bennett A. Landman:
Lung Cancer Detection using Co-learning from Chest CT Images and Clinical Demographics. CoRR abs/1902.08236 (2019) - [i13]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. CoRR abs/1903.12152 (2019) - [i12]Anirban Bhattacharjee, Yogesh D. Barve, Shweta Khare, Shunxing Bao, Aniruddha Gokhale, Thomas Damiano:
Stratum: A Serverless Framework for Lifecycle Management of Machine Learning based Data Analytics Tasks. CoRR abs/1904.01727 (2019) - [i11]Riqiang Gao, Yuankai Huo, Shunxing Bao, Yucheng Tang, Sanja L. Antic, Emily S. Epstein, Aneri B. Balar, Steve Deppen, Alexis B. Paulson, Kim L. Sandler, Pierre P. Massion, Bennett A. Landman:
Distanced LSTM: Time-Distanced Gates in Long Short-Term Memory Models for Lung Cancer Detection. CoRR abs/1909.05321 (2019) - [i10]Yuankai Huo, Yucheng Tang, Yunqiang Chen, Dashan Gao, Shizhong Han, Shunxing Bao, Smita De, James G. Terry, John Jeffrey Carr, Richard G. Abramson, Bennett A. Landman:
Stochastic tissue window normalization of deep learning on computed tomography. CoRR abs/1912.00420 (2019) - 2018
- [b1]Shunxing Bao:
Algorithmic Enhancements to Data Colocation Grid Frameworks for Big Data Medical Image Processing. Vanderbilt University, Nashville, TN, USA, 2018 - [j1]Yuankai Huo, Justin A. Blaber, Stephen M. Damon, Brian D. Boyd, Shunxing Bao, Prasanna Parvathaneni, Camilo Bermudez, Shikha Chaganti, Vishwesh Nath, Jasmine M. Greer, Ilwoo Lyu, William R. French, Allen T. Newton, Baxter P. Rogers, Bennett A. Landman:
Towards Portable Large-Scale Image Processing with High-Performance Computing. J. Digit. Imaging 31(3): 304-314 (2018) - [c9]Shunxing Bao, Prasanna Parvathaneni, Yuankai Huo, Yogesh D. Barve, Andrew J. Plassard, Yuang Yao, Hongyang Sun, Ilwoo Lyu, David H. Zald, Bennett A. Landman, Aniruddha S. Gokhale:
Technology Enablers for Big Data, Multi-Stage Analysis in Medical Image Processing. IEEE BigData 2018: 1337-1346 - [c8]Yuankai Huo, Zhoubing Xu, Shunxing Bao, Albert Assad, Richard G. Abramson, Bennett A. Landman:
Adversarial synthesis learning enables segmentation without target modality ground truth. ISBI 2018: 1217-1220 - [c7]Yuankai Huo, Zhoubing Xu, Katherine Aboud, Prasanna Parvathaneni, Shunxing Bao, Camilo Bermudez, Susan M. Resnick, Laurie E. Cutting, Bennett A. Landman:
Spatially Localized Atlas Network Tiles Enables 3D Whole Brain Segmentation from Limited Data. MICCAI (3) 2018: 698-705 - [c6]Meg F. Bobo, Shunxing Bao, Yuankai Huo, Yuang Yao, Jack Virostko, Andrew J. Plassard, Ilwoo Lyu, Albert Assad, Richard G. Abramson, Melissa A. Hilmes, Bennett A. Landman:
Fully convolutional neural networks improve abdominal organ segmentation. Medical Imaging: Image Processing 2018: 105742V - [c5]Yuankai Huo, Zhoubing Xu, Shunxing Bao, Camilo Bermudez, Andrew J. Plassard, Jiaqi Liu, Yuang Yao, Albert Assad, Richard G. Abramson, Bennett A. Landman:
Splenomegaly segmentation using global convolutional kernels and conditional generative adversarial networks. Medical Imaging: Image Processing 2018: 1057409 - [c4]Yuankai Huo, Shunxing Bao, Prasanna Parvathaneni, Bennett A. Landman:
Improved stability of whole brain surface parcellation with multi-atlas segmentation. Medical Imaging: Image Processing 2018: 1057438 - [i9]Yuankai Huo, Zhoubing Xu, Katherine Aboud, Prasanna Parvathaneni, Shunxing Bao, Camilo Bermudez, Susan M. Resnick, Laurie E. Cutting, Bennett A. Landman:
Spatially Localized Atlas Network Tiles Enables 3D Whole Brain Segmentation from Limited Data. CoRR abs/1806.00546 (2018) - [i8]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. CoRR abs/1810.06498 (2018) - [i7]Yuankai Huo, Zhoubing Xu, Shunxing Bao, Camilo Bermudez, Hyeonsoo Moon, Prasanna Parvathaneni, Tamara K. Moyo, Michael R. Savona, Albert Assad, Richard G. Abramson, Bennett A. Landman:
Splenomegaly Segmentation on Multi-modal MRI using Deep Convolutional Networks. CoRR abs/1811.04045 (2018) - [i6]Yuankai Huo, James G. Terry, Jiachen Wang, Vishwesh Nath, Camilo Bermudez, Shunxing Bao, Prasanna Parvathaneni, John Jeffrey Carr, Bennett A. Landman:
Coronary Calcium Detection using 3D Attention Identical Dual Deep Network Based on Weakly Supervised Learning. CoRR abs/1811.04289 (2018) - [i5]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. CoRR abs/1812.04118 (2018) - 2017
- [c3]Shunxing Bao, Bennett A. Landman, Aniruddha S. Gokhale:
Algorithmic Enhancements to Big Data Computing Frameworks for Medical Image Processing. IC2E 2017: 13-16 - [c2]Shunxing Bao, Andrew J. Plassard, Bennett A. Landman, Aniruddha S. Gokhale:
Cloud Engineering Principles and Technology Enablers for Medical Image Processing-as-a-Service. IC2E 2017: 127-137 - [i4]Yuankai Huo, Zhoubing Xu, Shunxing Bao, Camilo Bermudez, Andrew J. Plassard, Jiaqi Liu, Yuang Yao, Albert Assad, Richard G. Abramson, Bennett A. Landman:
Splenomegaly Segmentation using Global Convolutional Kernels and Conditional Generative Adversarial Networks. CoRR abs/1712.00542 (2017) - [i3]Yuankai Huo, Shunxing Bao, Prasanna Parvathaneni, Bennett A. Landman:
Improved Stability of Whole Brain Surface Parcellation with Multi-Atlas Segmentation. CoRR abs/1712.00543 (2017) - [i2]Yuankai Huo, Zhoubing Xu, Shunxing Bao, Albert Assad, Richard G. Abramson, Bennett A. Landman:
Adversarial Synthesis Learning Enables Segmentation Without Target Modality Ground Truth. CoRR abs/1712.07695 (2017) - [i1]Shunxing Bao, Yuankai Huo, Prasanna Parvathaneni, Andrew J. Plassard, Camilo Bermudez, Yuang Yao, Ilwoo Lyu, Aniruddha S. Gokhale, Bennett A. Landman:
A Data Colocation Grid Framework for Big Data Medical Image Processing - Backend Design. CoRR abs/1712.08634 (2017) - 2016
- [c1]Shunxing Bao, Joe Porter, Aniruddha S. Gokhale:
Reasoning for CPS Education Using Surrogate Simulation Models. COMPSAC 2016: 764-773
Coauthor Index
Aniruddha S. Gokhale
aka: Aniruddha Gokhale
aka: Aniruddha Gokhale
[i35] [i34] [i33] [i32] [j11] [j10] [j9] [c31] [c29] [c28] [c27] [i31] [i30] [i29] [i28] [i26] [i25] [i24] [i23] [i22] [j8] [j7] [c25] [c23] [c22] [c21] [c20] [i21] [i20] [i19] [j6] [j5] [c17] [i18] [i17] [i16] [i15] [j4] [j3] [j2] [c15] [c14] [c13] [c12] [c11] [i14] [i13] [i11] [i10] [j1] [c9] [c8] [c7] [c6] [c5] [c4] [i9] [i8] [i7] [i6] [i5] [i4] [i3] [i2] [i1]
[j12] [i35] [i34] [i33] [i32] [j11] [j10] [j9] [c31] [c29] [c28] [c27] [i31] [i30] [i29] [i28] [i27] [i26] [i25] [i24] [i23] [i22] [j8] [j7] [c25] [c23] [c22] [c20] [i21] [i20] [i19] [j6] [j5] [c18] [c17] [i17] [i16] [i15] [j4] [j3] [j2] [c15] [c14] [c13] [c12] [c11] [i14] [i13] [i11] [i10] [j1] [c9] [c8] [c7] [c6] [c5] [c4] [i9] [i8] [i7] [i6] [i5] [c3] [c2] [i4] [i3] [i2] [i1]
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To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
load content from web.archive.org
Privacy notice: By enabling the option above, your browser will contact the API of web.archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2023-05-04 22:54 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
