Tahsin M. Kurç

Publication Activity (10 Years)

Years Active: 1991-2024
Publications (10 Years): 76

Top Venues

CoRR

AMIA

Medical Imaging: Digital Pathology

Bioinform.

Publications

Srikar Yellapragada, Alexandros Graikos, Prateek Prasanna, Tahsin M. Kurç, Joel H. Saltz, Dimitris Samaras
PathLDM: Text conditioned Latent Diffusion Model for Histopathology. WACV (2024)
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)
Shahira Abousamra, Rajarsi Gupta, Tahsin M. Kurç, Dimitris Samaras, Joel H. Saltz, Chao Chen
Topology-Guided Multi-Class Cell Context Generation for Digital Pathology. CVPR (2023)
Srikar Yellapragada, Alexandros Graikos, Prateek Prasanna, Tahsin M. Kurç, Joel H. Saltz, Dimitris Samaras
PathLDM: Text conditioned Latent Diffusion Model for Histopathology. CoRR (2023)
Shahira Abousamra, Rajarsi Gupta, Tahsin M. Kurç, Dimitris Samaras, Joel H. Saltz, Chao Chen
Topology-Guided Multi-Class Cell Context Generation for Digital Pathology. CoRR (2023)
Jakub R. Kaczmarzyk, Rajarsi Gupta, Tahsin M. Kurç, Shahira Abousamra, Joel H. Saltz, Peter K. Koo
ChampKit: A framework for rapid evaluation of deep neural networks for patch-based histopathology classification. Comput. Methods Programs Biomed. 239 (2023)
Annika Reinke, Minu Tizabi, Michael Baumgartner, Matthias Eisenmann, Doreen Heckmann-Nötzel, A. Emre Kavur, Tim Rädsch, Carole H. Sudre, Laura Ación, Michela Antonelli, Tal Arbel, Spyridon Bakas, Arriel Benis, Matthew B. Blaschko, Florian Büttner, M. Jorge Cardoso, Veronika Cheplygina, Jianxu Chen, Evangelia Christodoulou, Beth A. Cimini, Gary S. Collins, Keyvan Farahani, Luciana Ferrer, Adrian Galdran, Bram van Ginneken, Ben Glocker, Patrick Godau, Robert Haase, Daniel A. Hashimoto, Michael M. Hoffman, Merel Huisman, Fabian Isensee, Pierre Jannin, Charles E. Kahn, Dagmar Kainmueller, Bernhard Kainz, Alexandros Karargyris, Alan Karthikesalingam, Hannes Kenngott, Jens Kleesiek, Florian Kofler, Thijs Kooi, Annette Kopp-Schneider, Michal Kozubek, Anna Kreshuk, Tahsin M. Kurç, Bennett A. Landman, Geert Litjens, Amin Madani, Klaus H. Maier-Hein, Anne L. Martel, Peter Mattson, Erik Meijering, Bjoern H. Menze, Karel G. M. Moons, Henning Müller, Brennan Nichyporuk, Felix Nickel, Jens Petersen, Susanne M. Rafelski, Nasir M. Rajpoot, Mauricio Reyes, Michael A. Riegler, Nicola Rieke, Julio Saez-Rodriguez, Clara I. Sánchez, Shravya Shetty, Maarten van Smeden, Ronald M. Summers, Abdel A. Taha, Aleksei Tiulpin, Sotirios A. Tsaftaris, Ben Van Calster, Gaël Varoquaux, Manuel Wiesenfarth, Ziv R. Yaniv, Paul F. Jäger, Lena Maier-Hein
Understanding metric-related pitfalls in image analysis validation. CoRR (2023)
Jakub R. Kaczmarzyk, Alan O'Callaghan, Fiona Inglis, Tahsin M. Kurç, Rajarsi Gupta, Erich Bremer, Peter Bankhead, Joel H. Saltz
Open and reusable deep learning for pathology with WSInfer and QuPath. CoRR (2023)
Shahira Abousamra, Danielle Fassler, Jiachen Yao, Rajarsi R. Gupta, Tahsin M. Kurç, Luisa F. Escobar-Hoyos, Dimitris Samaras, Kenneth Shroyer, Joel H. Saltz, Chao Chen
Unsupervised Stain Decomposition via Inversion Regulation for Multiplex Immunohistochemistry Images. MIDL (2023)
Jakub R. Kaczmarzyk, Tahsin M. Kurç, Shahira Abousamra, Rajarsi Gupta, Joel H. Saltz, Peter K. Koo
Evaluating histopathology transfer learning with ChampKit. CoRR (2022)
André L. S. Meirelles, Tahsin M. Kurç, Joel H. Saltz, George Teodoro
Effective active learning in digital pathology: A case study in tumor infiltrating lymphocytes. Comput. Methods Programs Biomed. 220 (2022)
Rajarsi Gupta, Jakub Kaczmarzyk, Soma Kobayashi, Tahsin M. Kurç, Joel H. Saltz
AI and Pathology: Steering Treatment and Predicting Outcomes. CoRR (2022)
Mahmudul Hasan, Jakub R. Kaczmarzyk, David Paredes, Lyanne Oblein, Jaymie Oentoro, Shahira Abousamra, Michael Horowitz, Dimitris Samaras, Chao Chen, Tahsin M. Kurç, Kenneth R. Shroyer, Joel H. Saltz
A Novel Framework for Characterization of Tumor-Immune Spatial Relationships in Tumor Microenvironment. CoRR (2022)
Ujjwal Baid, Sarthak Pati, Tahsin M. Kurç, Rajarsi Gupta, Erich Bremer, Shahira Abousamra, Siddhesh P. Thakur, Joel H. Saltz, Spyridon Bakas
Federated Learning for the Classification of Tumor Infiltrating Lymphocytes. CoRR (2022)
Saumya Gupta, Xiaoling Hu, James Kaan, Michael Jin, Mutshipay Mpoy, Katherine Chung, Gagandeep Singh, Mary M. Saltz, Tahsin M. Kurç, Joel H. Saltz, Apostolos Tassiopoulos, Prateek Prasanna, Chao Chen
Learning Topological Interactions for Multi-Class Medical Image Segmentation. CoRR (2022)
Lena Maier-Hein, Annika Reinke, Evangelia Christodoulou, Ben Glocker, Patrick Godau, Fabian Isensee, Jens Kleesiek, Michal Kozubek, Mauricio Reyes, Michael A. Riegler, Manuel Wiesenfarth, Michael Baumgartner, Matthias Eisenmann, Doreen Heckmann-Nötzel, A. Emre Kavur, Tim Rädsch, Minu Dietlinde Tizabi, Laura Ación, Michela Antonelli, Tal Arbel, Spyridon Bakas, Peter Bankhead, Arriel Benis, M. Jorge Cardoso, Veronika Cheplygina, Beth Cimini, Gary S. Collins, Keyvan Farahani, Bram van Ginneken, Daniel A. Hashimoto, Michael M. Hoffman, Merel Huisman, Pierre Jannin, Charles E. Kahn, Alexandros Karargyris, Alan Karthikesalingam, Hannes Kenngott, Annette Kopp-Schneider, Anna Kreshuk, Tahsin M. Kurç, Bennett A. Landman, Geert Litjens, Amin Madani, Klaus H. Maier-Hein, Anne L. Martel, Peter Mattson, Erik Meijering, Bjoern H. Menze, David Moher, Karel G. M. Moons, Henning Müller, Felix Nickel, Brennan Nichyporuk, Jens Petersen, Nasir Rajpoot, Nicola Rieke, Julio Saez-Rodriguez, Clarisa Sánchez Gutiérrez, Shravya Shetty, Maarten van Smeden, Carole H. Sudre, Ronald M. Summers, Abdel A. Taha, Sotirios A. Tsaftaris, Ben Van Calster, Gaël Varoquaux, Paul F. Jäger
Metrics reloaded: Pitfalls and recommendations for image analysis validation. CoRR (2022)
Saumya Gupta, Xiaoling Hu, James Kaan, Michael Jin, Mutshipay Mpoy, Katherine Chung, Gagandeep Singh, Mary M. Saltz, Tahsin M. Kurç, Joel H. Saltz, Apostolos Tassiopoulos, Prateek Prasanna, Chao Chen
Learning Topological Interactions for Multi-Class Medical Image Segmentation. ECCV (24) (2022)
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 (2022)
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 (2021)
Tong Shu, Yanfei Guo, Justin M. Wozniak, Xiaoning Ding, Ian T. Foster, Tahsin M. Kurç
Bootstrapping in-situ workflow auto-tuning via combining performance models of component applications. SC (2021)
Shahira Abousamra, David Belinsky, John S. Van Arnam, Felicia Allard, Eric Yee, Rajarsi Gupta, Tahsin M. Kurç, Dimitris Samaras, Joel H. Saltz, Chao Chen
Multi-Class Cell Detection Using Spatial Context Representation. ICCV (2021)
Tong Shu, Yanfei Guo, Justin M. Wozniak, Xiaoning Ding, Ian T. Foster, Tahsin M. Kurç
In-situ workflow auto-tuning through combining component models. PPoPP (2021)
Siao Sun, Fusheng Wang, Sina Rashidian, Tahsin M. Kurç, Kayley Abell-Hart, Janos G. Hajagos, Wei Zhu, Mary M. Saltz, Joel H. Saltz
Generating Longitudinal Synthetic EHR Data with Recurrent Autoencoders and Generative Adversarial Networks. AMIA (2021)
Sritha Rajupet, Rachel Wong, Donna Moller, Lisa Maldonado, Tricia Weiss, Tahsin M. Kurç, Janos G. Hajagos, Hasit Shah, Mary M. Saltz, Joel H. Saltz, Veena Lingam
Informatics to Power Post-COVID Care: A Framework for Patient Care and Secondary Data Use. AMIA (2021)
Siao Sun, Fusheng Wang, Sina Rashidian, Tahsin M. Kurç, Kayley Abell-Hart, Janos G. Hajagos, Wei Zhu, Mary M. Saltz, Joel H. Saltz
Generating Longitudinal Synthetic EHR Data with Recurrent Autoencoders and Generative Adversarial Networks. Poly/DMAH@VLDB (2021)
Ana Gainaru, Dmitry Ganyushin, Bing Xie, Tahsin M. Kurç, Joel H. Saltz, Sarp Oral, Norbert Podhorszki, Franz Poeschel, Axel Huebl, Scott Klasky
Understanding and Leveraging the I/O Patterns of Emerging Machine Learning Analytics. SMC (2021)
Annika Reinke, Matthias Eisenmann, Minu Dietlinde Tizabi, Carole H. Sudre, Tim Rädsch, Michela Antonelli, Tal Arbel, Spyridon Bakas, M. Jorge Cardoso, Veronika Cheplygina, Keyvan Farahani, Ben Glocker, Doreen Heckmann-Nötzel, Fabian Isensee, Pierre Jannin, Charles E. Kahn, Jens Kleesiek, Tahsin M. Kurç, Michal Kozubek, Bennett A. Landman, Geert Litjens, Klaus H. Maier-Hein, Bjoern H. Menze, Henning Müller, Jens Petersen, Mauricio Reyes, Nicola Rieke, Bram Stieltjes, Ronald M. Summers, Sotirios A. Tsaftaris, Bram van Ginneken, Annette Kopp-Schneider, Paul Jäger, Lena Maier-Hein
Common Limitations of Image Processing Metrics: A Picture Story. CoRR (2021)
Shahira Abousamra, David Belinsky, John S. Van Arnam, Felicia Allard, Eric Yee, Rajarsi Gupta, Tahsin M. Kurç, Dimitris Samaras, Joel H. Saltz, Chao Chen
Multi-Class Cell Detection Using Spatial Context Representation. CoRR (2021)
Jeremy Logan, Mark Ainsworth, Chuck Atkins, Jieyang Chen, Jong Choi, Junmin Gu, James Kress, Greg Eisenhauer, Berk Geveci, William F. Godoy, Mark Kim, Tahsin M. Kurç, Qing Liu, Kshitij Mehta, George Ostrouchov, Norbert Podhorszki, David Pugmire, Eric Suchyta, Nicholas Thompson, Ozan Tugluk, Lipeng Wan, Ruonan Wang, Ben Whitney, Matthew Wolf, Kesheng Wu, Scott Klasky
Extending the Publish/Subscribe Abstraction for High-Performance I/O and Data Management at Extreme Scale. IEEE Data Eng. Bull. 43 (1) (2020)
Le Hou, Rajarsi Gupta, John S. Van Arnam, Yuwei Zhang, Kaustubh Sivalenka, Dimitris Samaras, Tahsin M. Kurç, Joel H. Saltz
Dataset of Segmented Nuclei in Hematoxylin and Eosin Stained Histopathology Images of 10 Cancer Types. CoRR (2020)
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)
Andreas S. Panayides, Amir A. Amini, Nenad D. Filipovic, Ashish Sharma, Sotirios A. Tsaftaris, Alistair A. Young, David J. Foran, Nhan Do, Spyretta Golemati, Tahsin M. Kurç, Kun Huang, Konstantina S. Nikita, Ben P. Veasey, Michalis E. Zervakis, Joel H. Saltz, Constantinos S. Pattichis
AI in Medical Imaging Informatics: Current Challenges and Future Directions. IEEE J. Biomed. Health Informatics 24 (7) (2020)
Tong Shu, Yanfei Guo, Justin M. Wozniak, Xiaoning Ding, Ian T. Foster, Tahsin M. Kurç
In-situ Workflow Auto-tuning via Combining Performance Models of Component Applications. CoRR (2020)
Shahira Abousamra, Danielle Fassler, Le Hou, Yuwei Zhang, Rajarsi Gupta, Tahsin M. Kurç, Luisa F. Escobar-Hoyos, Dimitris Samaras, Beatrice Knudson, Kenneth Shroyer, Joel H. Saltz, Chao Chen
Weakly-Supervised Deep Stain Decomposition for Multiplex IHC Images. ISBI (2020)
David Paredes, Prateek Prasanna, Christina Preece, Rajarsi Gupta, Farzad Fereidouni, Dimitris Samaras, Tahsin M. Kurç, Richard M. Levenson, Patricia Thompson-Carino, Joel H. Saltz, Chao Chen
Automated Assessment of the Curliness of Collagen Fiber in Breast Cancer. ECCV Workshops (1) (2020)
William F. Godoy, Norbert Podhorszki, Ruonan Wang, Chuck Atkins, Greg Eisenhauer, Junmin Gu, Philip E. Davis, Jong Choi, Kai Germaschewski, Kevin A. Huck, Axel Huebl, Mark Kim, James Kress, Tahsin M. Kurç, Qing Liu, Jeremy Logan, Kshitij Mehta, George Ostrouchov, Manish Parashar, Franz Poeschel, David Pugmire, Eric Suchyta, Keichi Takahashi, Nick Thompson, Seiji Tsutsumi, Lipeng Wan, Matthew Wolf, Kesheng Wu, Scott Klasky
ADIOS 2: The Adaptable Input Output System. A framework for high-performance data management. SoftwareX 12 (2020)
Jeremy Logan, Kshitij Mehta, Gerd Heber, Scott Klasky, Tahsin M. Kurç, Norbert Podhorszki, Patrick M. Widener, Matthew Wolf
A Vision for Managing Extreme-Scale Data Hoards. ICDCS (2019)
Rafael Marconi Ramos, Célia Ghedini Ralha, Tahsin M. Kurç, Joel H. Saltz, George Teodoro
Increasing Accuracy of Medical CNN Applying Optimization Algorithms: An Image Classification Case. BRACIS (2019)
Han Le, Rajarsi R. Gupta, Le Hou, Shahira Abousamra, Danielle Fassler, Tahsin M. Kurç, Dimitris Samaras, Rebecca Batiste, Tianhao Zhao, Alison L. Van Dyke, Ashish Sharma, Erich Bremer, Jonas S. Almeida, Joel H. Saltz
Utilizing Automated Breast Cancer Detection to Identify Spatial Distributions of Tumor Infiltrating Lymphocytes in Invasive Breast Cancer. CoRR (2019)
Maozheng Zhao, Le Hou, Han Le, Dimitris Samaras, Nebojsa Jojic, Danielle Fassler, Tahsin M. Kurç, Rajarsi R. Gupta, Kolya Malkin, Shahira Abousamra, Shroyer Kenneth, Joel H. Saltz
Label Super Resolution with Inter-Instance Loss. CoRR (2019)
Tahsin M. Kurç, Ashish Sharma, Rajarsi Gupta, Le Hou, Han Le, Shahira Abousamra, Erich Bremer, Ryan Birmingham, Tammy Diprima, Nan Li, Feiqiao Wang, Joseph Balsamo, Whitney Bremer, Dimitris Samaras, Joel H. Saltz
From Whole Slide Tissues to Knowledge: Mapping Sub-cellular Morphology of Cancer. BrainLes@MICCAI (2) (2019)
Han Le, Dimitris Samaras, Tahsin M. Kurç, Rajarsi P. Gupta, Kenneth Shroyer, Joel H. Saltz
Pancreatic Cancer Detection in Whole Slide Images Using Noisy Label Annotations. MICCAI (1) (2019)
Justin M. Wozniak, Matthieu Dorier, Robert B. Ross, Tong Shu, Tahsin M. Kurç, Li Tang, Norbert Podhorszki, Matthew Wolf
MPI jobs within MPI jobs: A practical way of enabling task-level fault-tolerance in HPC workflows. Future Gener. Comput. Syst. 101 (2019)
Le Hou, Vu Nguyen, Ariel B. Kanevsky, Dimitris Samaras, Tahsin M. Kurç, Tianhao Zhao, Rajarsi R. Gupta, Yi Gao, Wenjin Chen, David J. Foran, Joel H. Saltz
Sparse autoencoder for unsupervised nucleus detection and representation in histopathology images. Pattern Recognit. 86 (2019)
Le Hou, Ayush Agarwal, Dimitris Samaras, Tahsin M. Kurç, Rajarsi R. Gupta, Joel H. Saltz
Robust Histopathology Image Analysis: To Label or to Synthesize? CVPR (2019)
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 (2019)
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) (2019)
Shahira Abousamra, Le Hou, Rajarsi R. Gupta, Chao Chen, Dimitris Samaras, Tahsin M. Kurç, Rebecca Batiste, Tianhao Zhao, Shroyer Kenneth, Joel H. Saltz
Learning from Thresholds: Fully Automated Classification of Tumor Infiltrating Lymphocytes for Multiple Cancer Types. CoRR (2019)
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 (2019)
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 (2018)
Quoc Dang Vu, Simon Graham, Minh Nguyen Nhat To, Muhammad Shaban, Talha Qaiser, Navid Alemi Koohbanani, Syed Ali Khurram, Tahsin M. Kurç, Keyvan Farahani, Tianhao Zhao, Rajarsi R. Gupta, Jin Tae Kwak, Nasir M. Rajpoot, Joel H. Saltz
Methods for Segmentation and Classification of Digital Microscopy Tissue Images. CoRR (2018)
Tahsin M. Kurç, Joel H. Saltz, Fred W. Prior, Ashish Sharma
Systems Demonstration: Towards a Services Oriented Platform for Combined Radiology-Pathology Image Analysis and Interpretation. AMIA (2018)
Scott Klasky, Matthew Wolf, Mark Ainsworth, Chuck Atkins, Jong Choi, Greg Eisenhauer, Berk Geveci, William F. Godoy, Mark Kim, James Kress, Tahsin M. Kurç, Qing Liu, Jeremy Logan, Arthur B. Maccabe, Kshitij Mehta, George Ostrouchov, Manish Parashar, Norbert Podhorszki, David Pugmire, Eric Suchyta, Lipeng Wan, Ruonan Wang
A View from ORNL: Scientific Data Research Opportunities in the Big Data Age. ICDCS (2018)
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)
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)
George Teodoro, Tahsin M. Kurç, Luis F. R. Taveira, Alba C. M. A. Melo, Yi Gao
Algorithm sensitivity analysis and parameter tuning for tissue image segmentation pipelines. Bioinform. 33 (7) (2017)
Naiyun Zhou, Xiaxia Yu, Tianhao Zhao, Si Wen, Fusheng Wang, Wei Zhu, Tahsin M. Kurç, Allen R. Tannenbaum, Joel H. Saltz, Yi Gao
Evaluation of nucleus segmentation in digital pathology images through large scale image synthesis. Medical Imaging: Digital Pathology (2017)
Le Hou, Ayush Agarwal, Dimitris Samaras, Tahsin M. Kurç, Rajarsi R. Gupta, Joel H. Saltz
Unsupervised Histopathology Image Synthesis. CoRR (2017)
Le Hou, Dimitris Samaras, Tahsin M. Kurç, Yi Gao, Joel H. Saltz
ConvNets with Smooth Adaptive Activation Functions for Regression. AISTATS (2017)
Qing Liu, Norbert Podhorszki, Jong Youl Choi, Jeremy Logan, Matthew Wolf, Scott Klasky, Tahsin M. Kurç, Xubin He
StoreRush: An Application-Level Approach to Harvesting Idle Storage in a Best Effort Environment. ICCS (2017)
Joel H. Saltz, Ashish Sharma, Alexis B. Carter, Liron Pantanowitz, Tahsin M. Kurç
20 Years of Digital Pathology - An Overview of the Road Travelled and What is on the Horizon. AMIA (2017)
Furqan Baig, Hoang Vo, Tahsin M. Kurç, Joel H. Saltz, Fusheng Wang
SparkGIS: Resource Aware Efficient In-Memory Spatial Query Processing. SIGSPATIAL/GIS (2017)
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) (2017)
Veda Murthy, Le Hou, Dimitris Samaras, Tahsin M. Kurç, Joel H. Saltz
Center-Focusing Multi-task CNN with Injected Features for Classification of Glioma Nuclear Images. WACV (2017)
Ian T. Foster, Mark Ainsworth, Bryce Allen, Julie Bessac, Franck Cappello, Jong Youl Choi, Emil M. Constantinescu, Philip E. Davis, Sheng Di, Zichao Wendy Di, Hanqi Guo, Scott Klasky, Kerstin Kleese van Dam, Tahsin M. Kurç, Qing Liu, Abid Malik, Kshitij Mehta, Klaus Mueller, Todd S. Munson, George Ostrouchov, Manish Parashar, Tom Peterka, Line Pouchard, Dingwen Tao, Ozan Tugluk, Stefan M. Wild, Matthew Wolf, Justin M. Wozniak, Wei Xu, Shinjae Yoo
Computing Just What You Need: Online Data Analysis and Reduction at Extreme Scales. Euro-Par (2017)
Le Hou, Vu Nguyen, Dimitris Samaras, Tahsin M. Kurç, Yi Gao, Tianhao Zhao, Joel H. Saltz
Sparse Autoencoder for Unsupervised Nucleus Detection and Representation in Histopathology Images. CoRR (2017)
Jong Youl Choi, Jeremy Logan, Matthew Wolf, George Ostrouchov, Tahsin M. Kurç, Qing Liu, Norbert Podhorszki, Scott Klasky, Melissa Romanus, Qian Sun, Manish Parashar, Randy Michael Churchill, Choong-Seock Chang
TGE: Machine Learning Based Task Graph Embedding for Large-Scale Topology Mapping. CLUSTER (2017)
Veronica E. Lynn, Niranjan Balasubramanian, Tahsin M. Kurç, Joel H. Saltz, Rebecca Jacobson
POE: A Pathology Extraction Tool for Finding Attribute-Value Pairs in Glioma Pathology Reports. AMIA (2016)
Erich Bremer, Tahsin M. Kurç, Yi Gao, Joel H. Saltz, Jonas S. Almeida
Safe "cloudification" of large images through picker APIs. AMIA (2016)
Yi Gao, William Liu, Shipra Arjun, Liangjia Zhu, Vadim Ratner, Tahsin M. Kurç, Joel H. Saltz, Allen R. Tannenbaum
Multi-scale learning based segmentation of glands in digital colonrectal pathology images. Medical Imaging: Digital Pathology (2016)
David Pugmire, James Kress, Jong Youl Choi, Scott Klasky, Tahsin M. Kurç, Michael Churchill, Matthew Wolf, Greg Eisenhauer, Hank Childs, Kesheng Wu, Alexander Sim, Junmin Gu, Jonathan Low
Visualization and Analysis for Near-Real-Time Decision Making in Distributed Workflows. IPDPS Workshops (2016)
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 (2016)
Le Hou, Dimitris Samaras, Tahsin M. Kurç, Yi Gao, Joel H. Saltz
Neural Networks with Smooth Adaptive Activation Functions for Regression. CoRR (2016)
Yi Gao, Vadim Ratner, Liangjia Zhu, Tammy Diprima, Tahsin M. Kurç, Allen R. Tannenbaum, Joel H. Saltz
Hierarchical nucleus segmentation in digital pathology images. Medical Imaging: Digital Pathology (2016)
Le Hou, Dimitris Samaras, Tahsin M. Kurç, Yi Gao, James E. Davis, Joel H. Saltz
Patch-Based Convolutional Neural Network for Whole Slide Tissue Image Classification. CVPR (2016)
Veda Murthy, Le Hou, Dimitris Samaras, Tahsin M. Kurç, Joel H. Saltz
Center-Focusing Multi-task CNN with Injected Features for Classification of Glioma Nuclear Images. CoRR (2016)
Mary M. Saltz, Joel H. Saltz, Janos G. Hajagos, Andrew White, Charles Boicey, Jim Murry, Ivan Crnosija, Tahsin M. Kurç, Erich Bremer, Jonas S. Almeida
Integrative Informatics and Predictive Modeling Support for Population Health. AMIA (2015)
Furqan Baig, Mudit Mehrotra, Hoang Vo, Fusheng Wang, Joel H. Saltz, Tahsin M. Kurç
SparkGIS: Efficient Comparison and Evaluation of Algorithm Results in Tissue Image Analysis Studies. Big-O(Q)/DMAH@VLDB (2015)
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)
Le Hou, Dimitris Samaras, Tahsin M. Kurç, Yi Gao, James E. Davis, Joel H. Saltz
Efficient Multiple Instance Convolutional Neural Networks for Gigapixel Resolution Image Classification. CoRR (2015)
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 (2015)
Jonas S. Almeida, Janos G. Hajagos, Ivan Crnosija, Tahsin M. Kurç, Mary M. Saltz, Joel H. Saltz
OpenHealth Platform for Interactive Contextualization of Population Health Open Data. AMIA (2015)
Tahsin M. Kurç, Xin Qi, Daihou Wang, Fusheng Wang, George Teodoro, Lee A. D. Cooper, Michael Nalisnik, Lin Yang, Joel H. Saltz, David J. Foran
Scalable analysis of Big pathology image data cohorts using efficient methods and high-performance computing strategies. BMC Bioinform. 16 (2015)
Guilherme Andrade, Renato Ferreira, George Teodoro, Leonardo Rocha, Joel H. Saltz, Tahsin M. Kurç
Efficient Execution of Microscopy Image Analysis on CPU, GPU, and MIC Equipped Cluster Systems. SBAC-PAD (2014)
George Teodoro, Tony Pan, Tahsin M. Kurç, Jun Kong, Lee A. D. Cooper, Scott Klasky, Joel H. Saltz
Region Templates: Data Representation and Management for Large-Scale Image Analysis. CoRR (2014)
George Teodoro, Tony Pan, Tahsin M. Kurç, Jun Kong, Lee A. D. Cooper, Scott Klasky, Joel H. Saltz
Region templates: Data representation and management for high-throughput image analysis. Parallel Comput. 40 (10) (2014)
George Teodoro, Tahsin M. Kurç, Jun Kong, Lee A. D. 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)
Lin Yang, Xin Qi, Fuyong Xing, Tahsin M. Kurç, Joel H. Saltz, David J. Foran
Parallel content-based sub-image retrieval using hierarchical searching. Bioinform. 30 (7) (2014)
Andrew R. Post, Tahsin M. Kurç, Richie Willard, Himanshu Rathod, Michel Mansour, Akshatha Kalsanka Pai, William M. Torian, Sanjay Agravat, Suzanne Sturm, Joel H. Saltz
Temporal Abstraction-based Clinical Phenotyping with Eureka! AMIA (2013)
Andrew R. Post, Tahsin M. Kurç, Sharath R. Cholleti, Jingjing Gao, Xia Lin, William Bornstein, Dedra Cantrell, David Levine, Sam Hohmann, Joel H. Saltz
The Analytic Information Warehouse (AIW): A platform for analytics using electronic health record data. J. Biomed. Informatics 46 (3) (2013)
Andrew R. Post, Tahsin M. Kurç, Richie Willard, Himanshu Rathod, Michel Mansour, Akshatha Kalsanka Pai, William M. Torian, Sanjay Agravat, Suzanne Sturm, Joel H. Saltz
Clinical Phenotyping with the Analytic Information Warehouse. AMIA (2013)
George Teodoro, Tahsin M. Kurç, Jun Kong, Lee A. D. Cooper, Joel H. Saltz
Comparative Performance Analysis of Intel Xeon Phi, GPU, and CPU. CoRR (2013)
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) (2013)
Cristobal Vergara-Niedermayr, Fusheng Wang, Tony Pan, Tahsin M. Kurç, Joel H. Saltz
Semantically Interoperable XML Data. Int. J. Semantic Comput. 7 (3) (2013)
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)
David A. Gutman, Jake Cobb, Dhananjaya Somanna, Yuna Park, Fusheng Wang, Tahsin M. Kurç, Joel H. Saltz, Daniel J. Brat, Lee A. D. Cooper
Research and applications: Cancer Digital Slide Archive: an informatics resource to support integrated in silico analysis of TCGA pathology data. J. Am. Medical Informatics Assoc. 20 (6) (2013)
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) (2013)
Jun Kong, Fusheng Wang, George Teodoro, Lee A. D. Cooper, Carlos S. 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)
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 S. 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) (2012)
Mijung Kim, Jake Cobb, Tahsin M. Kurç, Alessandro Orso, Mary Jean Harrold, Andrew R. Post, Shamkant B. Navathe, Joel H. Saltz
Systematic Modeling, Testing, and Monitoring of Information Integrity in Federated Ontology-driven Data Sources. AMIA (2012)

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Tahsin M. Kurç