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ORCIDJun Kong 0002
Person information
- affiliation: Georgia State University, Atlanta, GA, USA
Other persons with the same name
- Jun Kong — disambiguation page
- Jun Kong 0001
![[0000-0003-2551-4748]](https://dblp.org/img/orcid-mark.12x12.png "0000-0003-2551-4748")
— Jiangnan University, Wuxi, China - Jun Kong 0003 — Yunnan University, Kunming, China
- Jun Kong 0004 — Northeast Normal University, Changchun, China
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2020 – today
- 2025
[j37]Willian Barreiros, Jun Kong, Renato Ferreira, George Teodoro:
A hierarchical data partitioning strategy for irregular applications: a case study in digital pathology. Clust. Comput. 28(1): 12 (2025)- [j36]Alan Araujo, Willian Barreiros, Jun Kong, Renato Ferreira, George Teodoro:
IMI-GPU: Inverted multi-index for billion-scale approximate nearest neighbor search with GPUs. J. Parallel Distributed Comput. 200: 105066 (2025) - 2024
- [j35]Qiang Li, George Teodoro, Yi Jiang, Jun Kong:
NACNet: A histology context-aware transformer graph convolution network for predicting treatment response to neoadjuvant chemotherapy in Triple Negative Breast Cancer. Comput. Medical Imaging Graph. 118: 102467 (2024) - [j34]Dejun Teng, Furqan Baig, Zhaohui Peng, Jun Kong, Fusheng Wang:
Efficient spatial queries over complex polygons with hybrid representations. GeoInformatica 28(3): 459-497 (2024) - [c57]Zhan Shi, Jingwei Zhang, Jun Kong, Fusheng Wang:
Integrative Graph-Transformer Framework for Histopathology Whole Slide Image Representation and Classification. MICCAI (11) 2024: 341-350 - [i14]Zhan Shi, Jingwei Zhang, Jun Kong, Fusheng Wang:
Integrative Graph-Transformer Framework for Histopathology Whole Slide Image Representation and Classification. CoRR abs/2403.18134 (2024) - [i13]Qiang Li, George Teodoro, Yi Jiang, Jun Kong:
NACNet: A Histology Context-aware Transformer Graph Convolution Network for Predicting Treatment Response to Neoadjuvant Chemotherapy in Triple Negative Breast Cancer. CoRR abs/2411.09766 (2024) - 2023
- [j33]André L. S. Meirelles, Tahsin M. Kurç, Jun Kong, Renato Ferreira, Joel H. Saltz, George Teodoro:
Effective and efficient active learning for deep learning-based tissue image analysis. Bioinform. 39(4) (2023) - [j32]Hanyi Yu, Fusheng Wang, George Teodoro, Fan Chen, Xiaoyuan Guo, John Nickerson, Jun Kong:
Self-supervised semantic segmentation of retinal pigment epithelium cells in flatmount fluorescent microscopy images. Bioinform. 39(4) (2023) - 2022
- [j31]Hongyi Duanmu, Shristi Bhattarai, Hongxiao Li, Zhan Shi, Fusheng Wang, George Teodoro, Keerthi Gogineni, Preeti Subhedar, Umay Kiraz, Emiel A. M. Janssen, Ritu Aneja, Jun Kong:
A spatial attention guided deep learning system for prediction of pathological complete response using breast cancer histopathology images. Bioinform. 38(19): 4605-4612 (2022) - [j30]Hanyi Yu, Fusheng Wang, George Teodoro, John Nickerson, Jun Kong:
MultiHeadGAN: A deep learning method for low contrast retinal pigment epithelium cell segmentation with fluorescent flatmount microscopy images. Comput. Biol. Medicine 146: 105596 (2022) - [j29]Qiang Li, Fusheng Wang, Yaobing Chen, Hao Chen, Shengdi Wu, Alton B. Farris, Yi Jiang, Jun Kong:
Virtual liver needle biopsy from reconstructed three-dimensional histopathological images: Quantification of sampling error. Comput. Biol. Medicine 147: 105764 (2022) - [j28]Hanyi Yu, Nima Sharifai, Kun Jiang, Fusheng Wang, George Teodoro, Alton B. Farris, Jun Kong:
Artificial intelligence based liver portal tract region identification and quantification with transplant biopsy whole-slide images. Comput. Biol. Medicine 150: 106089 (2022) - [j27]Willian Barreiros Jr., Alba C. M. A. Melo, Jun Kong, Renato Ferreira, Tahsin M. Kurç, Joel H. Saltz, George Teodoro:
Efficient microscopy image analysis on CPU-GPU systems with cost-aware irregular data partitioning. J. Parallel Distributed Comput. 164: 40-54 (2022) - [j26]Dejun Teng, Yanhui Liang, Hoang Vo, Jun Kong, Fusheng Wang:
Efficient 3D Spatial Queries for Complex Objects. ACM Trans. Spatial Algorithms Syst. 8(2): 1-26 (2022) - [c56]Dejun Teng, Furqan Baig, Hoang Vo, Yanhui Liang, Jun Kong, Fusheng Wang:
3DPro: Querying Complex Three-Dimensional Data with Progressive Compression and Refinement. EDBT 2022: 2:104-2:117 - [c55]Lu Chen, Dejun Teng, Tian Zhu, Jun Kong, Bruce W. Herr, Andreas Bueckle, Katy Börner, Fusheng Wang:
Real-time spatial registration for 3D human atlas. BigSpatial@SIGSPATIAL 2022: 27-35 - [c54]Furqan Baig, Pradeep Nalluri, Jun Kong, Fusheng Wang:
SPEAR-board: cross-platform interactive spatio-temporal big data analytics. SIGSPATIAL/GIS 2022: 105:1-105:4 - [e3]El Kindi Rezig, Vijay Gadepally, Timothy G. Mattson, Michael Stonebraker, Tim Kraska, Jun Kong, Gang Luo, Dejun Teng, Fusheng Wang:
Heterogeneous Data Management, Polystores, and Analytics for Healthcare - VLDB Workshops, Poly 2022 and DMAH 2022, Virtual Event, September 9, 2022, Revised Selected Papers. Lecture Notes in Computer Science 13814, Springer 2022, ISBN 978-3-031-23904-5 [contents] - 2021
- [j25]Hongyi Duanmu, Fusheng Wang, George Teodoro, Jun Kong:
Foveal blur-boosted segmentation of nuclei in histopathology images with shape prior knowledge and probability map constraints. Bioinform. 37(21): 3905-3913 (2021) - [j24]Jeremias M. Gomes, Jun Kong, Tahsin M. Kurç, Alba C. M. A. Melo, Renato Ferreira, Joel H. Saltz, George Teodoro:
Building robust pathology image analyses with uncertainty quantification. Comput. Methods Programs Biomed. 208: 106291 (2021) - [c53]Dejun Teng, Akshay Nehe, Prajeeth Emanuel, Furqan Baig, Jun Kong, Fusheng Wang:
GPU-based Real-time Contact Tracing at Scale. SIGSPATIAL/GIS 2021: 1-10 - [c52]Furqan Baig, Dejun Teng, Jun Kong, Fusheng Wang:
SPEAR: Dynamic Spatio-Temporal Query Processing over High Velocity Data Streams. ICDE 2021: 2279-2284 - [c51]Aurelie Akossi, Fusheng Wang, George Teodoro, Jun Kong:
Image Registration with Optimal Regularization Parameter Selection by Learned Auto Encoder Features. ISBI 2021: 702-705 - [c50]Pangpang Liu, Fusheng Wang, George Teodoro, Jun Kong:
Histopathology Image Registration By Integrated Texture And Spatial Proximity Based Landmark Selection And Modification. ISBI 2021: 1827-1830 - [c49]Dejun Teng, Furqan Baig, Qiheng Sun, Jun Kong, Fusheng Wang:
IDEAL: a Vector-Raster Hybrid Model for Efficient Spatial Queries over Complex Polygons. MDM 2021: 99-108 - [c48]Hongyi Duanmu, Shristi Bhattarai, Hongxiao Li, Chia Cheng Cheng, Fusheng Wang, George Teodoro, Emiel A. M. Janssen, Keerthi Gogineni, Preeti Subhedar, Ritu Aneja, Jun Kong:
Spatial Attention-Based Deep Learning System for Breast Cancer Pathological Complete Response Prediction with Serial Histopathology Images in Multiple Stains. MICCAI (8) 2021: 550-560 - [e2]Vijay Gadepally, Timothy G. Mattson, Michael Stonebraker, Tim Kraska, Fusheng Wang, Gang Luo, Jun Kong, Alevtina Dubovitskaya:
Heterogeneous Data Management, Polystores, and Analytics for Healthcare - VLDB Workshops, Poly 2020 and DMAH 2020, Virtual Event, August 31 and September 4, 2020, Revised Selected Papers. Lecture Notes in Computer Science 12633, Springer 2021, ISBN 978-3-030-71054-5 [contents] - [e1]El Kindi Rezig, Vijay Gadepally, Timothy G. Mattson, Michael Stonebraker, Tim Kraska, Fusheng Wang, Gang Luo, Jun Kong, Alevtina Dubovitskaya:
Heterogeneous Data Management, Polystores, and Analytics for Healthcare - VLDB Workshops, Poly 2021 and DMAH 2021, Virtual Event, August 20, 2021, Revised Selected Papers. Lecture Notes in Computer Science 12921, Springer 2021, ISBN 978-3-030-93662-4 [contents] - 2020
- [j23]Willian Barreiros Jr., Jeremias Moreira, Tahsin M. Kurç, Jun Kong, Alba C. M. A. Melo, Joel H. Saltz, George Teodoro:
Optimizing parameter sensitivity analysis of large-scale microscopy image analysis workflows with multilevel computation reuse. Concurr. Comput. Pract. Exp. 32(2) (2020) - [j22]Furqan Baig, Chao Gao, Dejun Teng, Jun Kong, Fusheng Wang:
Accelerating Spatial Cross-Matching on CPU-GPU Hybrid Platform With CUDA and OpenACC. Frontiers Big Data 3: 14 (2020) - [j21]Xiaona Li, Qin Ni, Xiuxiu He, Jun Kong, Soon-Mi Lim, Garegin A. Papoian, Jerome P. Trzeciakowski, Andreea Trache, Yi Jiang:
Tensile force-induced cytoskeletal remodeling: Mechanics before chemistry. PLoS Comput. Biol. 16(6) (2020) - [c47]Hongyi Duanmu, Jinkoo Kim, Praitayini Kanakaraj, Andrew Wang, John Joshua, Jun Kong, Fusheng Wang:
Automatic Brain Organ Segmentation with 3D Fully Convolutional Neural Network for Radiation Therapy Treatment Planning. ISBI 2020: 758-762 - [c46]Hongyi Duanmu, Pauline Boning Huang, Srinidhi Brahmavar, Stephanie Lin, Thomas Ren, Jun Kong, Fusheng Wang, Tim Q. Duong:
Prediction of Pathological Complete Response to Neoadjuvant Chemotherapy in Breast Cancer Using Deep Learning with Integrative Imaging, Molecular and Demographic Data. MICCAI (2) 2020: 242-252
2010 – 2019
- 2019
- [j20]Jeremias M. Gomes, Willian Barreiros Jr., Tahsin M. Kurç, Alba C. M. A. Melo, Jun Kong, Joel H. Saltz, George Teodoro:
Sensitivity analysis in digital pathology: Handling large number of parameters with compute expensive workflows. Comput. Biol. Medicine 108: 371-381 (2019) - [j19]Dejun Teng, Jun Kong, Fusheng Wang:
Scalable and flexible management of medical image big data. Distributed Parallel Databases 37(2): 235-250 (2019) - [j18]Hoang Vo, Jun Kong, Dejun Teng, Yanhui Liang, Ablimit Aji, George Teodoro, Fusheng Wang:
MaReIA: a cloud MapReduce based high performance whole slide image analysis framework. Distributed Parallel Databases 37(2): 251-272 (2019) - [j17]Luis F. R. Taveira, Tahsin M. Kurç, Alba C. M. A. Melo, Jun Kong, Erich Bremer, Joel H. Saltz, George Teodoro:
Multi-objective Parameter Auto-tuning for Tissue Image Segmentation Workflows. J. Digit. Imaging 32(3): 521-533 (2019) - [c45]Xinyu Dong, Sina Rashidian, Yu Wang, Janos G. Hajagos, Xia Zhao, Richard N. Rosenthal, Jun Kong, Mary M. Saltz, Joel H. Saltz, Fusheng Wang:
Machine Learning Based Opioid Overdose Prediction Using Electronic Health Records. AMIA 2019 - [c44]Xiaoyuan Guo, Fusheng Wang, George Teodoro, Alton B. Farris, Jun Kong:
Liver Steatosis Segmentation With Deep Learning Methods. ISBI 2019: 24-27 - [i12]Eduardo Scartezini, Willian Barreiros Jr., Tahsin M. Kurç, Jun Kong, Alba C. M. A. Melo, Joel H. Saltz, George Teodoro:
Run-time Parameter Sensitivity Analysis Optimizations. CoRR abs/1910.14548 (2019) - [i11]Xiaoyuan Guo, Fusheng Wang, George Teodoro, Alton B. Farris, Jun Kong:
Liver Steatosis Segmentation with Deep Learning Methods. CoRR abs/1911.07088 (2019) - 2018
- [j16]Jeremias M. Gomes, Alba Cristina Magalhaes Alves de Melo, Jun Kong, Tahsin M. Kurç, Joel H. Saltz, George Teodoro:
Cooperative and out-of-core execution of the irregular wavefront propagation pattern on hybrid machines with Intel® Xeon Phi™. Concurr. Comput. Pract. Exp. 30(14) (2018) - [j15]Hoang Vo, Yanhui Liang, Jun Kong, Fusheng Wang:
iSPEED: a Scalable and Distributed In-Memory Based Spatial Query System for Large and Structurally Complex 3D Data. Proc. VLDB Endow. 11(12): 2078-2081 (2018) - [c43]Mousumi Roy, Fusheng Wang, George Teodoro, Miriam B. Vos, Alton Brad Farris, Jun Kong:
Segmentation of Overlapped Steatosis in Whole-Slide Liver Histopathology Microscopy Images. EMBC 2018: 810-813 - [c42]Xiaoyuan Guo, Hanyi Yu, Blair J. Rossetti, George Teodoro, Daniel J. Brat, Jun Kong:
Clumped Nuclei Segmentation with Adjacent Point Match and Local Shape-Based Intensity Analysis in Fluorescence Microscopy Images. EMBC 2018: 3410-3413 - [c41]Mousumi Roy, Fusheng Wang, George Teodoro, Jose Velazqeuz Vega, Daniel J. Brat, Jun Kong:
Analysis of Cellular Feature Differences of Astrocytomas with Distinct Mutational Profiles Using Digitized Histopathology Images. EMBC 2018: 4644-4647 - [i10]Mousumi Roy, Fusheng Wang, George Teodoro, Miriam B. Vos, Alton Brad Farris, Jun Kong:
Segmentation of Overlapped Steatosis in Whole-Slide Liver Histopathology Microscopy Images. CoRR abs/1806.09090 (2018) - [i9]Mousumi Roy, Fusheng Wang, George Teodoro, Jose Velazqeuz Vega, Daniel J. Brat, Jun Kong:
Analysis of Cellular Feature Differences of Astrocytomas with Distinct Mutational Profiles Using Digitized Histopathology Images. CoRR abs/1806.09093 (2018) - [i8]Xiaoyuan Guo, Hanyi Yu, Blair J. Rossetti, George Teodoro, Daniel J. Brat, Jun Kong:
Clumped Nuclei Segmentation with Adjacent Point Match and Local Shape based Intensity Analysis for Overlapped Nuclei in Fluorescence In-Situ Hybridization Images. CoRR abs/1808.04795 (2018) - [i7]Luis F. R. Taveira, Tahsin M. Kurç, Alba C. M. A. Melo, Jun Kong, Erich Bremer, Joel H. Saltz, George Teodoro:
Tuning for Tissue Image Segmentation Workflows for Accuracy and Performance. CoRR abs/1810.02911 (2018) - 2017
- [j14]George Teodoro, Tahsin M. Kurç, Guilherme Andrade, Jun Kong, Renato Ferreira, Joel H. Saltz:
Application performance analysis and efficient execution on systems with multi-core CPUs, GPUs and MICs: a case study with microscopy image analysis. Int. J. High Perform. Comput. Appl. 31(1): 32-51 (2017) - [c40]Willian Barreiros, George Teodoro, Tahsin M. Kurç, Jun Kong, Alba C. M. A. Melo, Joel H. Saltz:
Parallel and Efficient Sensitivity Analysis of Microscopy Image Segmentation Workflows in Hybrid Systems. CLUSTER 2017: 25-35 - [c39]Yanhui Liang, Hoang Vo, Jun Kong, Fusheng Wang:
iSPEED: an Efficient In-Memory Based Spatial Query System for Large-Scale 3D Data with Complex Structures. SIGSPATIAL/GIS 2017: 17:1-17:10 - [c38]Blair J. Rossetti, Fusheng Wang, Pengyue Zhang, George Teodoro, Daniel J. Brat, Jun Kong:
Dynamic registration for gigapixel serial whole slide images. ISBI 2017: 424-428 - [c37]Pengyue Zhang, Fusheng Wang, George Teodoro, Yanhui Liang, Daniel J. Brat, Jun Kong:
Automated level set segmentation of histopathologic cells with sparse shape prior support and dynamic occlusion constraint. ISBI 2017: 718-722 - 2016
- [j13]Yanhui Liang, Fusheng Wang, Darren Treanor, Derek R. Magee, Nick Roberts, George Teodoro, Yangyang Zhu, Jun Kong:
A framework for 3D vessel analysis using whole slide images of liver tissue sections. Int. J. Comput. Biol. Drug Des. 9(1/2): 102-119 (2016) - [c36]Yanhui Liang, Jun Kong, Fusheng Wang:
Three-Dimension (3D) Blood Vessel Reconstruction and Spatial Analytics with Whole-Slide Histological Images. AMIA 2016 - [c35]Yanhui Liang, Hoang Vo, Ablimit Aji, Jun Kong, Fusheng Wang:
Scalable 3D spatial queries for analytical pathology imaging with MapReduce. SIGSPATIAL/GIS 2016: 52:1-52:4 - [c34]Jun Kong, Pengyue Zhang, Yanhui Liang, George Teodoro, Daniel J. Brat, Fusheng Wang:
Robust cell segmentation for histological images of Glioblastoma. ISBI 2016: 1041-1045 - [c33]Cong Xie, Wen Zhong, Jun Kong, Wei Xu, Klaus Mueller, Fusheng Wang:
IEVQ: An Iterative Example-Based Visual Query for Pathology Database. DMAH@VLDB 2016: 29-42 - [c32]Hoang Vo, Jun Kong, Dejun Teng, Yanhui Liang, Ablimit Aji, George Teodoro, Fusheng Wang:
Cloud-Based Whole Slide Image Analysis Using MapReduce. DMAH@VLDB 2016: 62-77 - [i6]George Teodoro, Tahsin M. Kurç, Luis F. R. Taveira, Alba C. M. A. Melo, Jun Kong, Joel H. Saltz:
Efficient Methods and Parallel Execution for Algorithm Sensitivity Analysis with Parameter Tuning on Microscopy Imaging Datasets. CoRR abs/1612.03413 (2016) - 2015
- [c31]Michael Nalisnik, David A. Gutman, Jun Kong, Lee A. D. Cooper:
An interactive learning framework for scalable classification of pathology images. IEEE BigData 2015: 928-935 - [c30]Yanhui Liang, Fusheng Wang, Darren Treanor, Derek R. Magee, George Teodoro, Yangyang Zhu, Jun Kong:
Liver whole slide image analysis for 3D vessel reconstruction. ISBI 2015: 182-185 - [c29]Jun Kong, Fusheng Wang, George Teodoro, Yanhui Liang, Yangyang Zhu, Carol Tucker-Burden, Daniel J. Brat:
Automated cell segmentation with 3D fluorescence microscopy images. ISBI 2015: 1212-1215 - [c28]Yanhui Liang, Fusheng Wang, Darren Treanor, Derek R. Magee, George Teodoro, Yangyang Zhu, Jun Kong:
A 3D Primary Vessel Reconstruction Framework with Serial Microscopy Images. MICCAI (3) 2015: 251-259 - [c27]Jeremias M. Gomes, George Teodoro, Alba de Melo, Jun Kong, Tahsin M. Kurç, Joel H. Saltz:
Efficient Irregular Wavefront Propagation Algorithms on Intel(R) Xeon Phi(TM). SBAC-PAD 2015: 25-32 - [c26]Yanhui Liang, Jun Kong, Yangyang Zhu, Fusheng Wang:
Three-Dimensional Data Analytics for Pathology Imaging. Big-O(Q)/DMAH@VLDB 2015: 109-125 - [i5]George Teodoro, Tahsin M. Kurç, Guilherme Andrade, Jun Kong, Renato Ferreira, Joel H. Saltz:
Performance Analysis and Efficient Execution on Systems with multi-core CPUs, GPUs and MICs. CoRR abs/1505.03819 (2015) - 2014
- [j12]George Teodoro, Tony Pan, Tahsin M. Kurç, Jun Kong, Lee Cooper, Scott Klasky, Joel H. Saltz:
Region templates: Data representation and management for high-throughput image analysis. Parallel Comput. 40(10): 589-610 (2014) - [c25]George Teodoro, Tahsin M. Kurç, Jun Kong, Lee Cooper, Joel H. Saltz:
Comparative Performance Analysis of Intel (R) Xeon Phi (TM), GPU, and CPU: A Case Study from Microscopy Image Analysis. IPDPS 2014: 1063-1072 - [i4]George Teodoro, Tony Pan, Tahsin M. Kurç, Jun Kong, Lee Cooper, Scott Klasky, Joel H. Saltz:
Region Templates: Data Representation and Management for Large-Scale Image Analysis. CoRR abs/1405.7958 (2014) - 2013
- [j11]Joel H. Saltz, George Teodoro, Tony Pan, Lee A. D. Cooper, Jun Kong, Scott Klasky, Tahsin M. Kurç:
Feature-based analysis of large-scale spatio-temporal sensor data on hybrid architectures. Int. J. High Perform. Comput. Appl. 27(3): 263-272 (2013) - [j10]George Teodoro, Tony Pan, Tahsin M. Kurç, Jun Kong, Lee A. D. Cooper, Joel H. Saltz:
Efficient irregular wavefront propagation algorithms on hybrid CPU-GPU machines. Parallel Comput. 39(4-5): 189-211 (2013) - [c24]Jun Kong, Fusheng Wang, George Teodoro, Lee Cooper, Carlos Sanchez Moreno, Tahsin M. Kurç, Tony Pan, Joel H. Saltz, Daniel J. Brat:
High-performance computational analysis of glioblastoma pathology images with database support identifies molecular and survival correlates. BIBM 2013: 229-236 - [c23]George Teodoro, Tony Pan, Tahsin M. Kurç, Jun Kong, Lee A. D. Cooper, Norbert Podhorszki, Scott Klasky, Joel H. Saltz:
High-throughput Analysis of Large Microscopy Image Datasets on CPU-GPU Cluster Platforms. IPDPS 2013: 103-114 - [i3]George Teodoro, Tahsin M. Kurç, Jun Kong, Lee Cooper, Joel H. Saltz:
Comparative Performance Analysis of Intel Xeon Phi, GPU, and CPU. CoRR abs/1311.0378 (2013) - 2012
- [j9]Lee A. D. Cooper, Jun Kong, David A. Gutman, Fusheng Wang, Jingjing Gao, Christina Appin, Sharath R. Cholleti, Tony Pan, Ashish Sharma, Lisa Scarpace, Tom Mikkelsen, Tahsin M. Kurç, Carlos Sanchez Moreno, Daniel J. Brat, Joel H. Saltz:
Integrated morphologic analysis for the identification and characterization of disease subtypes. J. Am. Medical Informatics Assoc. 19(2): 317-323 (2012) - [j8]Lee A. D. Cooper, Alexis B. Carter, Alton B. Farris, Fusheng Wang, Jun Kong, David A. Gutman, Patrick M. Widener, Tony C. Pan, Sharath R. Cholleti, Ashish Sharma, Tahsin M. Kurç, Daniel J. Brat, Joel H. Saltz:
Digital Pathology: Data-Intensive Frontier in Medical Imaging. Proc. IEEE 100(4): 991-1003 (2012) - [c22]Tahsin M. Kurç, Joel H. Saltz, George Teodoro, Tony Pan, Lee A. D. Cooper, Jun Kong, David A. Gutman, Daniel J. Brat, Fusheng Wang:
High Performance Computing for Integrative Analysis of Large Pathology Image Datasets. AMIA 2012 - [c21]George Teodoro, Tahsin M. Kurç, Tony Pan, Lee A. D. Cooper, Jun Kong, Patrick M. Widener, Joel H. Saltz:
Accelerating Large Scale Image Analyses on Parallel, CPU-GPU Equipped Systems. IPDPS 2012: 1093-1104 - [i2]George Teodoro, Tony Pan, Tahsin M. Kurç, Jun Kong, Lee Cooper, Joel H. Saltz:
Efficient Irregular Wavefront Propagation Algorithms on Hybrid CPU-GPU Machines. CoRR abs/1209.3314 (2012) - [i1]George Teodoro, Tony Pan, Tahsin M. Kurç, Jun Kong, Lee A. D. Cooper, Joel H. Saltz:
High-throughput Execution of Hierarchical Analysis Pipelines on Hybrid Cluster Platforms. CoRR abs/1209.3332 (2012) - 2011
- [j7]Jun Kong, Lee A. D. Cooper, Fusheng Wang, David A. Gutman, Jingjing Gao, Candace Chisolm, Ashish Sharma, Tony Pan, Erwin G. Van Meir, Tahsin M. Kurç, Carlos Sanchez Moreno, Joel H. Saltz, Daniel J. Brat:
Integrative, Multimodal Analysis of Glioblastoma Using TCGA Molecular Data, Pathology Images, and Clinical Outcomes. IEEE Trans. Biomed. Eng. 58(12): 3469-3474 (2011) - [c20]Jun Kong, Michael J. Lee, Pelin Bagci, Puneet Sharma, Diego R. Martín, N. Volkan Adsay, Joel H. Saltz, Alton B. Farris:
Computer-Based Image Analysis of Liver Steatosis with Large-Scale Microscopy Imagery and Correlation with Magnetic Resonance Imaging Lipid Analysis. BIBM 2011: 333-338 - [c19]Jun Kong, Lee Cooper, Carlos Sanchez Moreno, Fusheng Wang, Tahsin M. Kurç, Joel H. Saltz, Daniel J. Brat:
In silico analysis of nuclei in glioblastoma using large-scale microscopy images improves prediction of treatment response. EMBC 2011: 87-90 - [c18]Jun Kong, Lee Cooper, Tahsin M. Kurç, Daniel J. Brat, Joel H. Saltz:
Towards building computerized image analysis framework for nucleus discrimination in microscopy images of diffuse glioma. EMBC 2011: 6605-6608 - [c17]Lee A. D. Cooper, Jun Kong, Fusheng Wang, Tahsin M. Kurç, Carlos Sanchez Moreno, Daniel J. Brat, Joel H. Saltz:
Morphological signatures and genomic correlates in glioblastoma. ISBI 2011: 1624-1627 - [c16]Jun Kong, Lee Cooper, Fusheng Wang, Candace Chisolm, Carlos Sanchez Moreno, Tahsin M. Kurç, Patrick M. Widener, Daniel J. Brat, Joel H. Saltz:
A comprehensive framework for classification of nuclei in digital microscopy imaging: An application to diffuse gliomas. ISBI 2011: 2128-2131 - [c15]Jun Kong, Lee Cooper, Ashish Sharma, Tahsin M. Kurç, Daniel J. Brat, Joel H. Saltz:
A new steerable pressure force for parametric deformable models. Image Processing 2011: 79623N - 2010
- [j6]Lee A. D. Cooper, Jun Kong, David A. Gutman, Fusheng Wang, Sharath R. Cholleti, Tony C. Pan, Patrick M. Widener, Ashish Sharma, Tom Mikkelsen, Adam E. Flanders, Daniel L. Rubin, Erwin G. Van Meir, Tahsin M. Kurç, Carlos Sanchez Moreno, Daniel J. Brat, Joel H. Saltz:
An Integrative Approach for In Silico Glioma Research. IEEE Trans. Biomed. Eng. 57(10): 2617-2621 (2010) - [c14]Fusheng Wang, Tahsin M. Kurç, Patrick M. Widener, Tony Pan, Jun Kong, Lee Cooper, David A. Gutman, Ashish Sharma, Sharath R. Cholleti, Vijay Kumar:
High-Performance Systems for in Silico Microscopy Imaging Studies. DILS 2010: 3-18 - [c13]Jun Kong, Lee Cooper, Ashish Sharma, Tahsin M. Kurç, Daniel J. Brat, Joel H. Saltz:
Texture based image recognition in microscopy images of diffuse gliomas with multi-class gentle boosting mechanism. ICASSP 2010: 457-460 - [c12]Patrick M. Widener, Tahsin M. Kurç, Wenjin Chen, Fusheng Wang, Lin Yang, Jun Hu, Vijay Kumar, Vicky Chu, Lee Cooper, Jun Kong, Ashish Sharma, Tony Pan, Joel H. Saltz, David J. Foran:
High Performance Computing Techniques for Scaling Image Analysis Workflows. PARA (2) 2010: 67-77
2000 – 2009
- 2009
- [j5]Lee Cooper, Olcay Sertel, Jun Kong, Gerard Lozanski, Kun Huang, Metin N. Gurcan:
Feature-based registration of histopathology images with different stains: An application for computerized follicular lymphoma prognosis. Comput. Methods Programs Biomed. 96(3): 182-192 (2009) - [j4]Jun Kong, Olcay Sertel, Hiroyuki Shimada, Kim L. Boyer, Joel H. Saltz, Metin N. Gurcan:
Computer-aided evaluation of neuroblastoma on whole-slide histology images: Classifying grade of neuroblastic differentiation. Pattern Recognit. 42(6): 1080-1092 (2009) - [j3]Olcay Sertel, Jun Kong, Hiroyuki Shimada, Ümit V. Çatalyürek, Joel H. Saltz, Metin N. Gurcan:
Computer-aided prognosis of neuroblastoma on whole-slide images: Classification of stromal development. Pattern Recognit. 42(6): 1093-1103 (2009) - [j2]Olcay Sertel, Jun Kong, Ümit V. Çatalyürek, Gerard Lozanski, Joel H. Saltz, Metin N. Gurcan:
Histopathological Image Analysis Using Model-Based Intermediate Representations and Color Texture: Follicular Lymphoma Grading. J. Signal Process. Syst. 55(1-3): 169-183 (2009) - 2008
- [j1]Vijay S. Kumar, Sivaramakrishnan Narayanan, Tahsin M. Kurç, Jun Kong, Metin N. Gurcan, Joel H. Saltz:
Analysis and Semantic Querying in Large Biomedical Image Datasets. Computer 41(4): 52-59 (2008) - [c11]Olcay Sertel, Jun Kong, Gerard Lozanski, Arwa Shanaah, Ümit V. Çatalyürek, Joel H. Saltz, Metin N. Gurcan:
Texture classification using nonlinear color quantization: Application to histopathological image analysis. ICASSP 2008: 597-600 - [c10]Antonio Ruiz, Jun Kong, Manuel Ujaldon, Kim L. Boyer, Joel H. Saltz, Metin N. Gurcan:
Pathological image segmentation for neuroblastoma using the GPU. ISBI 2008: 296-299 - [c9]Olcay Sertel, Jun Kong, Hiroyuki Shimada, Ümit V. Çatalyürek, Joel H. Saltz, Metin N. Gurcan:
Computer-aided prognosis of neuroblastoma: classification of stromal development on whole-slide images. Computer-Aided Diagnosis 2008: 69150P - [c8]Jun Kong, Olcay Sertel, Hiroyuki Shimada, Kim L. Boyer, Joel H. Saltz, Metin N. Gurcan:
A multi-resolution image analysis system for computer-assisted grading of neuroblastoma differentiation. Computer-Aided Diagnosis 2008: 69151T - [c7]Olcay Sertel, Jun Kong, Gerard Lozanski, Ümit V. Çatalyürek, Joel H. Saltz, Metin N. Gurcan:
Computerized microscopic image analysis of follicular lymphoma. Computer-Aided Diagnosis 2008: 691535 - 2007
- [c6]Metin N. Gurcan, Jun Kong, Olcay Sertel, Berkant Barla Cambazoglu, Joel H. Saltz, Ümit V. Çatalyürek:
Computerized Pathological Image Analysis For Neuroblastoma Prognosis. AMIA 2007 - [c5]Berkant Barla Cambazoglu, Olcay Sertel, Jun Kong, Joel H. Saltz, Metin N. Gurcan, Ümit V. Çatalyürek:
Efficient processing of pathological images using the grid: computer-aided prognosis of neuroblastoma. CLADE@HPDC 2007: 35-41 - [c4]Vijay S. Kumar, Tahsin M. Kurç, Jun Kong, Ümit V. Çatalyürek, Metin N. Gurcan, Joel H. Saltz:
Performance vs. accuracy trade-offs for large-scale image analysis applications. CLUSTER 2007: 100-109 - [c3]Jun Kong, Olcay Sertel, Hiroyuki Shimada, Kim L. Boyer, Joel H. Saltz, Metin N. Gurcan:
Computer-Aided Grading of Neuroblastic Differentiation: Multi-Resolution and Multi-Classifier Approach. ICIP (5) 2007: 525-528 - [c2]Jun Kong, Hiroyuki Shimada, Kim L. Boyer, Joel H. Saltz, Metin N. Gurcan:
Image Analysis for Automated Assessment of Grade of Neuroblastic Differentiation. ISBI 2007: 61-64 - 2006
- [c1]Ümit V. Çatalyürek, Sivaramakrishnan Narayanan, Olcay Sertel, Jun Kong, Berkant Barla Cambazoglu, Tony Pan, Ashish Sharma, Shannon Hastings, Stephen Langella, Scott Oster, Tahsin M. Kurç, Metin Nafi Gürcan, Joel H. Saltz:
Service-Based Access to and Processing of Large Scientific Datasets. High Performance Computing Workshop 2006: 345-362
Coauthor Index
Metin Nafi Gürcan
aka: Metin N. Gurcan
aka: Metin N. Gurcan
Tony Pan
aka: Tony C. Pan
aka: Tony C. Pan
[j37] [j36] [j35] [i13] [j33] [j32] [j31] [j30] [j28] [j27] [j25] [j24] [c51] [c50] [c48] [j23] [j20] [j18] [j17] [c44] [i12] [i11] [j16] [c43] [c42] [c41] [i10] [i9] [i8] [i7] [j14] [c40] [c38] [c37] [j13] [c34] [c32] [i6] [c30] [c29] [c28] [c27] [i5] [j12] [c25] [i4] [j11] [j10] [c24] [c23] [i3] [c22] [c21] [i2] [i1]
[j34] [c57] [i14] [j32] [j31] [j30] [j29] [j28] [j26] [c56] [c55] [c54] [e3] [j25] [c53] [c52] [c51] [c50] [c49] [c48] [e2] [e1] [j22] [c47] [c46] [j19] [j18] [c45] [c44] [i11] [j15] [c43] [c41] [i10] [i9] [c39] [c38] [c37] [j13] [c36] [c35] [c34] [c33] [c32] [c30] [c29] [c28] [c26] [c24] [j9] [j8] [c22] [j7] [c19] [c17] [c16] [j6] [c14] [c12]
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