| Year |
Citation |
Score |
| 2024 |
Ly A, Garcia V, Blenman KRM, Ehinger A, Elfer K, Hanna MG, Li X, Peeters DJE, Birmingham R, Dudgeon S, Gardecki E, Gupta R, Lennerz J, Pan T, Saltz J, et al. Training pathologists to assess stromal tumour-infiltrating lymphocytes in breast cancer synergises efforts in clinical care and scientific research. Histopathology. PMID 38433289 DOI: 10.1111/his.15140 |
0.481 |
|
| 2024 |
Foran DJ, Chen W, Kurc T, Gupta R, Kaczmarzyk JR, Torre-Healy LA, Bremer E, Ajjarapu S, Do N, Harris G, Stroup A, Durbin E, Saltz JH. An Intelligent Search & Retrieval System (IRIS) and Clinical and Research Repository for Decision Support Based on Machine Learning and Joint Kernel-based Supervised Hashing. Cancer Informatics. 23: 11769351231223806. PMID 38322427 DOI: 10.1177/11769351231223806 |
0.334 |
|
| 2024 |
Jahangir CA, Page DB, Broeckx G, Gonzalez CA, Burke C, Murphy C, Reis-Filho JS, Ly A, Harms PW, Gupta RR, Vieth M, Hida AI, Kahila M, Kos Z, van Diest PJ, ... ... Saltz J, et al. Image-based multiplex immune profiling of cancer tissues: translational implications. A report of the International Immuno-oncology Biomarker Working Group on Breast Cancer. The Journal of Pathology. PMID 38230434 DOI: 10.1002/path.6238 |
0.509 |
|
| 2024 |
Kaczmarzyk JR, O'Callaghan A, Inglis F, Gat S, Kurc T, Gupta R, Bremer E, Bankhead P, Saltz JH. Open and reusable deep learning for pathology with WSInfer and QuPath. Npj Precision Oncology. 8: 9. PMID 38200147 DOI: 10.1038/s41698-024-00499-9 |
0.486 |
|
| 2023 |
Kapse S, Das S, Zhang J, Gupta RR, Saltz J, Samaras D, Prasanna P. Attention De-sparsification Matters: Inducing diversity in digital pathology representation learning. Medical Image Analysis. 93: 103070. PMID 38176354 DOI: 10.1016/j.media.2023.103070 |
0.519 |
|
| 2023 |
Hart S, Garcia V, Dudgeon SN, Hanna MG, Li X, Blenman KR, Elfer K, Ly A, Salgado R, Saltz J, Gupta R, Hytopoulos E, Larsimont D, Lennerz J, Gallas BD. Initial interactions with the FDA on developing a validation dataset as a medical device development tool. The Journal of Pathology. PMID 37794720 DOI: 10.1002/path.6208 |
0.531 |
|
| 2023 |
Thagaard J, Broeckx G, Page DB, Jahangir CA, Verbandt S, Kos Z, Gupta R, Khiroya R, Abduljabbar K, Acosta Haab G, Acs B, Akturk G, Almeida JS, Alvarado-Cabrero I, Amgad M, ... ... Saltz J, et al. Pitfalls in machine learning-based assessment of tumor-infiltrating lymphocytes in breast cancer: a report of the international immuno-oncology biomarker working group. The Journal of Pathology. PMID 37608772 DOI: 10.1002/path.6155 |
0.515 |
|
| 2023 |
Page DB, Broeckx G, Jahangir CA, Verbandt S, Gupta RR, Thagaard J, Khiroya R, Kos Z, Abduljabbar K, Acosta Haab G, Acs B, Almeida JS, Alvarado-Cabrero I, Azmoudeh-Ardalan F, Badve S, ... ... Saltz J, et al. Spatial analyses of immune cell infiltration in cancer: current methods and future directions. A report of the International Immuno-Oncology Biomarker Working Group on Breast Cancer. The Journal of Pathology. PMID 37608771 DOI: 10.1002/path.6165 |
0.5 |
|
| 2023 |
Kaczmarzyk JR, Gupta R, Kurc TM, Abousamra S, Saltz JH, Koo PK. ChampKit: A framework for rapid evaluation of deep neural networks for patch-based histopathology classification. Computer Methods and Programs in Biomedicine. 239: 107631. PMID 37271050 DOI: 10.1016/j.cmpb.2023.107631 |
0.535 |
|
| 2023 |
Meirelles ALS, Kurc T, Kong J, Ferreira R, Saltz J, Teodoro G. Effective and efficient active learning for deep learning-based tissue image analysis. Bioinformatics (Oxford, England). 39. PMID 36943380 DOI: 10.1093/bioinformatics/btad138 |
0.572 |
|
| 2022 |
Elfer K, Dudgeon S, Garcia V, Blenman K, Hytopoulos E, Wen S, Li X, Ly A, Werness B, Sheth MS, Amgad M, Gupta R, Saltz J, Hanna MG, Ehinger A, et al. Pilot study to evaluate tools to collect pathologist annotations for validating machine learning algorithms. Journal of Medical Imaging (Bellingham, Wash.). 9: 047501. PMID 35911208 DOI: 10.1117/1.JMI.9.4.047501 |
0.552 |
|
| 2022 |
Meirelles ALS, Kurc T, Kong J, Ferreira R, Saltz JH, Teodoro G. Building Efficient CNN Architectures for Histopathology Images Analysis: A Case-Study in Tumor-Infiltrating Lymphocytes Classification. Frontiers in Medicine. 9: 894430. PMID 35712087 DOI: 10.3389/fmed.2022.894430 |
0.606 |
|
| 2022 |
Fassler DJ, Torre-Healy LA, Gupta R, Hamilton AM, Kobayashi S, Van Alsten SC, Zhang Y, Kurc T, Moffitt RA, Troester MA, Hoadley KA, Saltz J. Spatial Characterization of Tumor-Infiltrating Lymphocytes and Breast Cancer Progression. Cancers. 14. PMID 35565277 DOI: 10.3390/cancers14092148 |
0.579 |
|
| 2022 |
Abousamra S, Gupta R, Hou L, Batiste R, Zhao T, Shankar A, Rao A, Chen C, Samaras D, Kurc T, Saltz J. Deep Learning-Based Mapping of Tumor Infiltrating Lymphocytes in Whole Slide Images of 23 Types of Cancer. Frontiers in Oncology. 11: 806603. PMID 35251953 DOI: 10.3389/fonc.2021.806603 |
0.524 |
|
| 2022 |
Foran DJ, Durbin EB, Chen W, Sadimin E, Sharma A, Banerjee I, Kurc T, Li N, Stroup AM, Harris G, Gu A, Schymura M, Gupta R, Bremer E, Balsamo J, ... ... Saltz JH, et al. An Expandable Informatics Framework for Enhancing Central Cancer Registries with Digital Pathology Specimens, Computational Imaging Tools, and Advanced Mining Capabilities. Journal of Pathology Informatics. 13: 5. PMID 35136672 DOI: 10.4103/jpi.jpi_31_21 |
0.542 |
|
| 2021 |
Dudgeon SN, Wen S, Hanna MG, Gupta R, Amgad M, Sheth M, Marble H, Huang R, Herrmann MD, Szu CH, Tong D, Werness B, Szu E, Larsimont D, Madabhushi A, ... ... Saltz J, et al. A Pathologist-Annotated Dataset for Validating Artificial Intelligence: A Project Description and Pilot Study. Journal of Pathology Informatics. 12: 45. PMID 34881099 DOI: 10.4103/jpi.jpi_83_20 |
0.537 |
|
| 2021 |
Gomes J, Kong J, Kurc T, Melo ACMA, Ferreira R, Saltz JH, Teodoro G. Building robust pathology image analyses with uncertainty quantification. Computer Methods and Programs in Biomedicine. 208: 106291. PMID 34333205 DOI: 10.1016/j.cmpb.2021.106291 |
0.581 |
|
| 2021 |
Kobayashi S, Saltz JH, Yang VW. State of machine and deep learning in histopathological applications in digestive diseases. World Journal of Gastroenterology. 27: 2545-2575. PMID 34092975 DOI: 10.3748/wjg.v27.i20.2545 |
0.308 |
|
| 2021 |
Moore MR, Friesner ID, Rizk EM, Fullerton BT, Mondal M, Trager MH, Mendelson K, Chikeka I, Kurc T, Gupta R, Rohr BR, Robinson EJ, Acs B, Chang R, Kluger H, ... ... Saltz J, et al. Automated digital TIL analysis (ADTA) adds prognostic value to standard assessment of depth and ulceration in primary melanoma. Scientific Reports. 11: 2809. PMID 33531581 DOI: 10.1038/s41598-021-82305-1 |
0.48 |
|
| 2020 |
Rashidian S, Abell-Hart K, Hajagos J, Moffitt R, Lingam V, Garcia V, Tsai CW, Wang F, Dong X, Sun S, Deng J, Gupta R, Miller J, Saltz J, Saltz M. Detecting Miscoded Diabetes Diagnosis Codes in Electronic Health Records for Quality Improvement: Temporal Deep Learning Approach. Jmir Medical Informatics. 8: e22649. PMID 33331828 DOI: 10.2196/22649 |
0.444 |
|
| 2020 |
Bremer E, Saltz J, Almeida JS. ImageBox 2 - Efficient and Rapid Access of Image Tiles from Whole-Slide Images Using Serverless HTTP Range Requests. Journal of Pathology Informatics. 11: 29. PMID 33163255 DOI: 10.4103/Jpi.Jpi_31_20 |
0.304 |
|
| 2020 |
Fassler DJ, Abousamra S, Gupta R, Chen C, Zhao M, Paredes D, Batool SA, Knudsen BS, Escobar-Hoyos L, Shroyer KR, Samaras D, Kurc T, Saltz J. Publisher Correction to: Deep learning-based image analysis methods for brightfield-acquired multiplex immunohistochemistry images. Diagnostic Pathology. 15: 116. PMID 32972449 DOI: 10.1186/s13000-020-01021-y |
0.5 |
|
| 2020 |
Fassler DJ, Abousamra S, Gupta R, Chen C, Zhao M, Paredes D, Batool SA, Knudsen BS, Escobar-Hoyos L, Shroyer KR, Samaras D, Kurc T, Saltz J. Deep learning-based image analysis methods for brightfield-acquired multiplex immunohistochemistry images. Diagnostic Pathology. 15: 100. PMID 32723384 DOI: 10.1186/S13000-020-01003-0 |
0.565 |
|
| 2020 |
Barreiros W, Moreira J, Kurc T, Kong J, Melo ACMA, Saltz JH, Teodoro G. Optimizing parameter sensitivity analysis of large-scale microscopy image analysis workflows with multilevel computation reuse. Concurrency and Computation : Practice & Experience. 32. PMID 32669980 DOI: 10.1002/cpe.5403 |
0.315 |
|
| 2020 |
Hou L, Gupta R, Van Arnam JS, Zhang Y, Sivalenka K, Samaras D, Kurc TM, Saltz JH. Dataset of segmented nuclei in hematoxylin and eosin stained histopathology images of ten cancer types. Scientific Data. 7: 185. PMID 32561748 DOI: 10.1038/S41597-020-0528-1 |
0.6 |
|
| 2020 |
Le H, Gupta R, Hou L, Abousamra S, Fassler D, Torre-Healy L, Moffitt RA, Kurc T, Samaras D, Batiste R, Zhao T, Rao A, Van Dyke AL, Sharma A, Bremer E, ... ... Saltz J, et al. Utilizing Automated Breast Cancer Detection to Identify Spatial Distributions of Tumor Infiltrating Lymphocytes in Invasive Breast Cancer. The American Journal of Pathology. PMID 32277893 DOI: 10.1016/J.Ajpath.2020.03.012 |
0.542 |
|
| 2020 |
Kurc T, Bakas S, Ren X, Bagari A, Momeni A, Huang Y, Zhang L, Kumar A, Thibault M, Qi Q, Wang Q, Kori A, Gevaert O, Zhang Y, Shen D, ... ... Saltz J, et al. Segmentation and Classification in Digital Pathology for Glioma Research: Challenges and Deep Learning Approaches. Frontiers in Neuroscience. 14: 27. PMID 32153349 DOI: 10.3389/Fnins.2020.00027 |
0.592 |
|
| 2019 |
Hou L, Agarwal A, Samaras D, Kurc TM, Gupta RR, Saltz JH. Robust Histopathology Image Analysis: to Label or to Synthesize? Proceedings. Ieee Computer Society Conference On Computer Vision and Pattern Recognition. 2019: 8533-8542. PMID 34025103 DOI: 10.1109/CVPR.2019.00873 |
0.54 |
|
| 2019 |
Rashidian S, Hajagos J, Moffitt RA, Wang F, Noel KM, Gupta RR, Tharakan MA, Saltz JH, Saltz MM. Deep Learning on Electronic Health Records to Improve Disease Coding Accuracy. Amia Joint Summits On Translational Science Proceedings. Amia Joint Summits On Translational Science. 2019: 620-629. PMID 31259017 |
0.441 |
|
| 2019 |
Prior F, Almeida J, Kathiravelu P, Kurc T, Smith K, Fitzgerald TJ, Saltz J. Open access image repositories: high-quality data to enable machine learning research. Clinical Radiology. PMID 31040006 DOI: 10.1016/J.Crad.2019.04.002 |
0.414 |
|
| 2019 |
Vu QD, Graham S, Kurc T, To MNN, Shaban M, Qaiser T, Koohbanani NA, Khurram SA, Kalpathy-Cramer J, Zhao T, Gupta R, Kwak JT, Rajpoot N, Saltz J, Farahani K. Methods for Segmentation and Classification of Digital Microscopy Tissue Images. Frontiers in Bioengineering and Biotechnology. 7: 53. PMID 31001524 DOI: 10.3389/Fbioe.2019.00053 |
0.565 |
|
| 2019 |
Almeida JS, Hajagos J, Saltz J, Saltz M. Serverless OpenHealth at data commons scale-traversing the 20 million patient records of New York's SPARCS dataset in real-time. Peerj. 7: e6230. PMID 30671301 DOI: 10.7717/Peerj.6230 |
0.369 |
|
| 2019 |
Hou L, Nguyen V, Kanevsky AB, Samaras D, Kurc TM, Zhao T, Gupta RR, Gao Y, Chen W, Foran D, Saltz JH. Sparse Autoencoder for Unsupervised Nucleus Detection and Representation in Histopathology Images. Pattern Recognition. 86: 188-200. PMID 30631215 DOI: 10.1016/J.Patcog.2018.09.007 |
0.503 |
|
| 2019 |
Gupta R, Kurc T, Sharma A, Almeida JS, Saltz J. The Emergence of Pathomics Current Pathobiology Reports. 7: 73-84. DOI: 10.1007/S40139-019-00200-X |
0.599 |
|
| 2018 |
Pantanowitz L, Sharma A, Carter AB, Kurc T, Sussman A, Saltz J. Twenty Years of Digital Pathology: An Overview of the Road Travelled, What is on the Horizon, and the Emergence of Vendor-Neutral Archives. Journal of Pathology Informatics. 9: 40. PMID 30607307 DOI: 10.4103/Jpi.Jpi_69_18 |
0.413 |
|
| 2018 |
Wen S, Kurc TM, Hou L, Saltz JH, Gupta RR, Batiste R, Zhao T, Nguyen V, Samaras D, Zhu W. Comparison of Different Classifiers with Active Learning to Support Quality Control in Nucleus Segmentation in Pathology Images. Amia Joint Summits On Translational Science Proceedings. Amia Joint Summits On Translational Science. 2017: 227-236. PMID 29888078 |
0.526 |
|
| 2018 |
Saltz J, Gupta R, Hou L, Kurc T, Singh P, Nguyen V, Samaras D, Shroyer KR, Zhao T, Batiste R, Van Arnam J, Shmulevich I, Rao AUK, Lazar AJ, et al. Spatial Organization and Molecular Correlation of Tumor-Infiltrating Lymphocytes Using Deep Learning on Pathology Images. Cell Reports. 23: 181-193.e7. PMID 29617659 DOI: 10.1016/J.Celrep.2018.03.086 |
0.537 |
|
| 2017 |
Saltz J, Sharma A, Iyer G, Bremer E, Wang F, Jasniewski A, DiPrima T, Almeida JS, Gao Y, Zhao T, Saltz M, Kurc T. A Containerized Software System for Generation, Management, and Exploration of Features from Whole Slide Tissue Images. Cancer Research. 77: e79-e82. PMID 29092946 DOI: 10.1158/0008-5472.Can-17-0316 |
0.416 |
|
| 2017 |
Teodoro G, Kurc T, Andrade G, Kong J, Ferreira R, Saltz J. Application Performance Analysis and Efficient Execution on Systems with multi-core CPUs, GPUs and MICs: A Case Study with Microscopy Image Analysis. The International Journal of High Performance Computing Applications. 31: 32-51. PMID 28239253 DOI: 10.1177/1094342015594519 |
0.612 |
|
| 2016 |
Bremer E, Kurc T, Gao Y, Saltz J, Almeida JS. Safe "cloudification" of large images through picker APIs. Amia ... Annual Symposium Proceedings. Amia Symposium. 2016: 342-351. PMID 28269829 |
0.307 |
|
| 2015 |
Kurc T, Qi X, Wang D, Wang F, Teodoro G, Cooper L, Nalisnik M, Yang L, Saltz J, Foran DJ. Scalable analysis of Big pathology image data cohorts using efficient methods and high-performance computing strategies. Bmc Bioinformatics. 16: 399. PMID 26627175 DOI: 10.1186/S12859-015-0831-6 |
0.465 |
|
| 2015 |
Louis DN, Feldman M, Carter AB, Dighe AS, Pfeifer JD, Bry L, Almeida JS, Saltz J, Braun J, Tomaszewski JE, Gilbertson JR, Sinard JH, Gerber GK, Galli SJ, Golden JA, et al. Computational Pathology. Archives of Pathology & Laboratory Medicine. PMID 26098131 DOI: 10.5858/Arpa.2015-0093-Sa |
0.343 |
|
| 2014 |
Andrade G, Ferreira R, Teodoro G, Rocha L, Saltz JH, Kurc T. Efficient Execution of Microscopy Image Analysis on CPU, GPU, and MIC Equipped Cluster Systems. Proceedings / Symposium On Computer Architecture and High Performance Computing. Symposium On Computer Architecture and High Performance Computing. 2014: 89-96. PMID 26640423 DOI: 10.1109/SBAC-PAD.2014.15 |
0.308 |
|
| 2014 |
Teodoro G, Pan T, Kurc T, Kong J, Cooper L, Klasky S, Saltz J. Region Templates: Data Representation and Management for High-Throughput Image Analysis. Parallel Computing. 40: 589-610. PMID 26139953 DOI: 10.1016/j.parco.2014.09.003 |
0.344 |
|
| 2014 |
Teodoro G, Kurc T, Kong J, Cooper L, Saltz J. Comparative Performance Analysis of Intel Xeon Phi, GPU, and CPU: A Case Study from Microscopy Image Analysis. Ieee Transactions On Parallel and Distributed Systems : a Publication of the Ieee Computer Society. 2014: 1063-1072. PMID 25419088 DOI: 10.1109/IPDPS.2014.111 |
0.314 |
|
| 2014 |
Colen R, Foster I, Gatenby R, Giger ME, Gillies R, Gutman D, Heller M, Jain R, Madabhushi A, Madhavan S, Napel S, Rao A, Saltz J, Tatum J, Verhaak R, et al. NCI Workshop Report: Clinical and Computational Requirements for Correlating Imaging Phenotypes with Genomics Signatures. Translational Oncology. 7: 556-69. PMID 25389451 DOI: 10.1016/J.Tranon.2014.07.007 |
0.355 |
|
| 2013 |
Teodoro G, Pan T, Kurc TM, Kong J, Cooper LA, Podhorszki N, Klasky S, Saltz JH. High-throughput Analysis of Large Microscopy Image Datasets on CPU-GPU Cluster Platforms. Ipdps ... / International Parallel and Distributed Processing Symposium. Ipdps (Conference). 2013: 103-114. PMID 25419546 DOI: 10.1109/IPDPS.2013.11 |
0.37 |
|
| 2013 |
Gutman DA, Cooper LA, Hwang SN, Holder CA, Gao J, Aurora TD, Dunn WD, Scarpace L, Mikkelsen T, Jain R, Wintermark M, Jilwan M, Raghavan P, Huang E, Clifford RJ, ... ... Saltz J, et al. MR imaging predictors of molecular profile and survival: multi-institutional study of the TCGA glioblastoma data set. Radiology. 267: 560-9. PMID 23392431 DOI: 10.1148/Radiol.13120118 |
0.323 |
|
| 2012 |
Teodoro G, Kurc TM, Pan T, Cooper LA, Kong J, Widener P, Saltz JH. Accelerating Large Scale Image Analyses on Parallel, CPU-GPU Equipped Systems. Ipdps ... / International Parallel and Distributed Processing Symposium. Ipdps (Conference). 2012: 1093-1104. PMID 25419545 DOI: 10.1109/IPDPS.2012.101 |
0.309 |
|
| 2012 |
Aji A, Wang F, Saltz JH. Towards Building a High Performance Spatial Query System for Large Scale Medical Imaging Data. Proceedings of the ... Acm Sigspatial International Conference On Advances in Geographic Information Systems : Acm Gis. Acm Sigspatial International Conference On Advances in Geographic Information Systems. 2012: 309-318. PMID 24501719 DOI: 10.1145/2424321.2424361 |
0.33 |
|
| 2012 |
Widener PM, Kurc T, Chen W, Wang F, Yang L, Hu J, Kumar V, Chu V, Cooper L, Kong J, Sharma A, Pan T, Saltz JH, Foran DJ. High performance computing techniques for scaling image analysis workflows Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 7134: 67-77. DOI: 10.1007/978-3-642-28145-7_7 |
0.326 |
|
| 2011 |
Wang F, Kong J, Cooper L, Pan T, Kurc T, Chen W, Sharma A, Niedermayr C, Oh TW, Brat D, Farris AB, Foran DJ, Saltz J. A data model and database for high-resolution pathology analytical image informatics. Journal of Pathology Informatics. 2: 32. PMID 21845230 DOI: 10.4103/2153-3539.83192 |
0.426 |
|
| 2011 |
Foran DJ, Yang L, Chen W, Hu J, Goodell LA, Reiss M, Wang F, Kurc T, Pan T, Sharma A, Saltz JH. ImageMiner: a software system for comparative analysis of tissue microarrays using content-based image retrieval, high-performance computing, and grid technology. Journal of the American Medical Informatics Association : Jamia. 18: 403-15. PMID 21606133 DOI: 10.1136/Amiajnl-2011-000170 |
0.358 |
|
| 2010 |
Kumar VS, Kurc T, Ratnakar V, Kim J, Mehta G, Vahi K, Nelson YL, Sadayappan P, Deelman E, Gil Y, Hall M, Saltz J. Parameterized Specification, Configuration and Execution of Data-Intensive Scientific Workflows. Cluster Computing. 13: 315-333. PMID 22623878 DOI: 10.1007/S10586-010-0133-8 |
0.409 |
|
| 2010 |
Fitzgerald TJ, Bishop-Jodoin M, Cicchetti MG, Hanusik R, Kessel S, Laurie F, McCarten KM, Moni J, Pieters RS, Rosen N, Ulin K, Urie M, Chauvenet AR, Constine LS, Deye J, ... ... Saltz J, et al. Quality of radiotherapy reporting in randomized controlled trials of Hodgkin's lymphoma and non-Hodgkin's lymphoma: in regard to Bekelman and Yahalom (Int J Radiat Oncol Biol Phys 2009;73:492-498). International Journal of Radiation Oncology, Biology, Physics. 77: 315-6. PMID 20394859 DOI: 10.1016/J.Ijrobp.2009.12.051 |
0.33 |
|
| 2010 |
Bokhari S, Saltz J. Exploring the performance of massively multithreaded architectures Concurrency Computation Practice and Experience. 22: 588-616. DOI: 10.1002/Cpe.V22:5 |
0.386 |
|
| 2009 |
Foran DJ, Yang L, Tuzel O, Chen W, Hu J, Kurc TM, Ferreira R, Saltz JH. A caGRID-ENABLED, LEARNING BASED IMAGE SEGMENTATION METHOD FOR HISTOPATHOLOGY SPECIMENS. Proceedings / Ieee International Symposium On Biomedical Imaging: From Nano to Macro. Ieee International Symposium On Biomedical Imaging. 6: 1306-1309. PMID 19936299 DOI: 10.1109/ISBI.2009.5193304 |
0.58 |
|
| 2009 |
Erdal S, Catalyurek UV, Payne PR, Saltz J, Kamal J, Gurcan MN. A knowledge-anchored integrative image search and retrieval system. Journal of Digital Imaging. 22: 166-82. PMID 18040742 DOI: 10.1007/S10278-007-9086-8 |
0.325 |
|
| 2009 |
Sharma A, Pan T, Cambazoglu BB, Gurcan M, Kurc T, Saltz J. VirtualPACS--a federating gateway to access remote image data resources over the grid. Journal of Digital Imaging. 22: 1-10. PMID 17876669 DOI: 10.1007/s10278-007-9074-z |
0.352 |
|
| 2008 |
Teodoro G, Tavares T, Ferreira R, Kurc T, Meira W, Guedes D, Pan T, Saltz J. A Run-time System for Efficient Execution of Scientific Workflows on Distributed Environments. International Journal of Parallel Programming. 36: 250-266. PMID 22582009 DOI: 10.1007/S10766-007-0068-8 |
0.684 |
|
| 2008 |
Saltz J, Oster S, Hastings S, Langella S, Ferreira R, Permar J, Sharma A, Ervin D, Pan T, Catalyurek U, Kurc T. Translational Research Design Templates, Grid Computing, and HPC. Ipdps ... / International Parallel and Distributed Processing Symposium. Ipdps (Conference). 2008: 1-15. PMID 21311740 DOI: 10.1109/IPDPS.2008.4536089 |
0.593 |
|
| 2008 |
Saltz J, Kurc T, Hastings S, Langella S, Oster S, Ervin D, Sharma A, Pan T, Gurcan M, Permar J, Ferreira R, Payne P, Catalyurek U, Caserta E, Leone G, et al. e-Science, caGrid, and Translational Biomedical Research. Computer. 41: 58-66. PMID 21311723 DOI: 10.1109/Mc.2008.459 |
0.6 |
|
| 2008 |
Saltz J, Hastings S, Langella S, Oster S, Kurc T, Payne P, Ferreira R, Plale B, Goble C, Ervin D, Sharma A, Pan T, Permar J, Brezany P, Siebenlist F, et al. A roadmap for caGrid, an enterprise Grid architecture for biomedical research. Studies in Health Technology and Informatics. 138: 224-37. PMID 18560123 |
0.62 |
|
| 2008 |
Mosaliganti K, Pan T, Ridgway R, Sharp R, Cooper L, Gulacy A, Sharma A, Irfanoglu O, Machiraju R, Kurc T, de Bruin A, Wenzel P, Leone G, Saltz J, Huang K. An imaging workflow for characterizing phenotypical change in large histological mouse model datasets. Journal of Biomedical Informatics. 41: 863-73. PMID 18502696 DOI: 10.1016/J.Jbi.2008.03.013 |
0.32 |
|
| 2008 |
Mosaliganti K, Cooper L, Sharp R, Machiraju R, Leone G, Huang K, Saltz J. Reconstruction of cellular biological structures from optical microscopy data. Ieee Transactions On Visualization and Computer Graphics. 14: 863-76. PMID 18467760 DOI: 10.1109/Tvcg.2008.30 |
0.367 |
|
| 2008 |
Kumar VS, Rutt B, Kurc T, Catalyurek UV, Pan TC, Chow S, Lamont S, Martone M, Saltz JH. Large-scale biomedical image analysis in grid environments. Ieee Transactions On Information Technology in Biomedicine : a Publication of the Ieee Engineering in Medicine and Biology Society. 12: 154-61. PMID 18348945 DOI: 10.1109/TITB.2007.908466 |
0.349 |
|
| 2008 |
Kumar VS, Hall M, Kim J, Gil Y, Kurc T, Deelman E, Ratnakar V, Saltz J. Designing and parameterizing a workflow for optimization: A case study in biomedical imaging Ipdps Miami 2008 - Proceedings of the 22nd Ieee International Parallel and Distributed Processing Symposium, Program and Cd-Rom. DOI: 10.1109/IPDPS.2008.4536411 |
0.312 |
|
| 2007 |
Pan TC, Gurcan MN, Langella SA, Oster SW, Hastings SL, Sharma A, Rutt BG, Ervin DW, Kurc TM, Siddiqui KM, Saltz JH, Siegel EL. Informatics in radiology: GridCAD: grid-based computer-aided detection system. Radiographics : a Review Publication of the Radiological Society of North America, Inc. 27: 889-97. PMID 17495299 DOI: 10.1148/rg.273065153 |
0.342 |
|
| 2007 |
Cambazoglu BB, Sertel O, Kong J, Saltz J, Gurcan MN, Catalyurek UV. Efficient processing of pathological images using the grid: Computer-aided prognosis of neuroblastoma Proceedings of the 5th Ieee Workshop On Challenges of Large Applications in Distributed Environments, Clade'07. 35-41. DOI: 10.1145/1273404.1273408 |
0.327 |
|
| 2007 |
Ruiz A, Ujaldón M, Andrades JA, Becerra J, Huang K, Pan T, Saltz J. The GPU on biomedical image processing for color and phenotype analysis Proceedings of the 7th Ieee International Conference On Bioinformatics and Bioengineering, Bibe. 1124-1128. DOI: 10.1109/BIBE.2007.4375701 |
0.305 |
|
| 2007 |
Andrade H, Kurc T, Sussman A, Saltz J. Active semantic caching to optimize multidimensional data analysis in parallel and distributed environments Parallel Computing. 33: 497-520. DOI: 10.1016/j.parco.2007.03.001 |
0.334 |
|
| 2007 |
Woods B, Clymer B, Heverhagen J, Knopp M, Saltz J, Kurc T. Parallel four-dimensional Haralick texture analysis for disk-resident image datasets: Research Articles Concurrency and Computation: Practice and Experience. 19: 65-87. DOI: 10.1002/Cpe.V19:1 |
0.416 |
|
| 2007 |
Khanna G, Catalyurek U, Kure T, Sadayappan P, Saltz J. A data locality aware online scheduling approach for I/O-intensive jobs with file sharing Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 4376: 141-160. |
0.306 |
|
| 2006 |
Saltz J, Oster S, Hastings S, Langella S, Kurc T, Sanchez W, Kher M, Manisundaram A, Shanbhag K, Covitz P. caGrid: Design and implementation of the core architecture of the cancer biomedical informatics grid Bioinformatics. 22: 1910-1916. PMID 16766552 DOI: 10.1093/Bioinformatics/Btl272 |
0.379 |
|
| 2005 |
Hastings S, Oster S, Langella S, Kurc TM, Pan T, Catalyurek UV, Saltz JH. A grid-based image archival and analysis system Journal of the American Medical Informatics Association. 12: 286-295. PMID 15684129 DOI: 10.1197/Jamia.M1698 |
0.308 |
|
| 2005 |
Weng L, Agrawal G, Catalyurek U, Saltz J. Supporting SQL-3 aggregations on grid-based data repositories Lecture Notes in Computer Science. 3602: 283-298. |
0.336 |
|
| 2004 |
Andrade H, Kurc T, Sussman A, Saltz J. Optimizing the execution of multiple data analysis queries on parallel and distributed environments Ieee Transactions On Parallel and Distributed Systems. 15: 520-532. DOI: 10.1109/Tpds.2004.11 |
0.79 |
|
| 2004 |
Weng L, Agrawal G, Catalyurek U, Kurc T, Narayanan S, Saltz J. An approach for automatic data virtualization Ieee International Symposium On High Performance Distributed Computing, Proceedings. 24-33. |
0.354 |
|
| 2004 |
Andrade H, Aryangat S, Kurc T, Saltz J, Sussman A. Efficient execution of multi-query data analysis batches using compiler optimization strategies Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2958: 509-523. |
0.304 |
|
| 2003 |
Catalyürek U, Beynon MD, Chang C, Kurc T, Sussman A, Saltz J. The virtual microscope. Ieee Transactions On Information Technology in Biomedicine : a Publication of the Ieee Engineering in Medicine and Biology Society. 7: 230-48. PMID 15000350 DOI: 10.1109/TITB.2004.823952 |
0.799 |
|
| 2003 |
Cho S, Beynon M, Saltz J. A Virtual Microscope System for Educational Applications The Kips Transactions:Partd. 117-124. DOI: 10.3745/Kipstd.2003.10D.1.117 |
0.46 |
|
| 2003 |
Hwang Y, Saltz J. Interprocedural Definition-Use Chains of Dynamic Pointer-Linked Data Structures Scientific Programming. 11: 3-37. DOI: 10.1155/2003/154169 |
0.332 |
|
| 2003 |
Narayanan S, Kurc T, Catalyurek U, Saltz J. Database support for data-driven scientific applications in the grid Parallel Processing Letters. 13: 245-271. DOI: 10.1142/S0129626403001264 |
0.32 |
|
| 2003 |
Andrade H, Kurc T, Sussman A, Saltz J. Exploiting functional decomposition for efficient parallel processing of multiple data analysis queries Proceedings - International Parallel and Distributed Processing Symposium, Ipdps 2003. DOI: 10.1109/IPDPS.2003.1213184 |
0.302 |
|
| 2003 |
Narayanan S, Catalyurek U, Kurc T, Zhang X, Saltz J. Applying database support for large scale data driven science in distributed environments Proceedings - Ieee/Acm International Workshop On Grid Computing. 2003: 141-148. DOI: 10.1109/GRID.2003.1261709 |
0.318 |
|
| 2003 |
Hastings S, Kurc T, Langella S, Catalyurek U, Pan T, Saltz J. Image processing for the grid: A toolkit for building grid-enabled image processing applications Proceedings - Ccgrid 2003: 3rd Ieee/Acm International Symposium On Cluster Computing and the Grid. 36-43. DOI: 10.1109/CCGRID.2003.1199350 |
0.318 |
|
| 2002 |
Beynon MD, Kurc T, Catalyurek U, Sussman A, Saltz J. Efficient manipulation of large datasets on heterogeneous storage systems Proceedings - International Parallel and Distributed Processing Symposium, Ipdps 2002. 84-96. DOI: 10.1109/IPDPS.2002.1015655 |
0.801 |
|
| 2002 |
Beynon MD, Andrade H, Saltz J. Low-cost non-intrusive debugging strategies for distributed parallel programs Proceedings - Ieee International Conference On Cluster Computing, Iccc. 2002: 439-442. DOI: 10.1109/CLUSTR.2002.1137778 |
0.768 |
|
| 2002 |
Beynon M, Chang C, Catalyurek U, Kurc T, Sussman A, Andrade H, Ferreira R, Saltz J. Processing large-scale multi-dimensional data in parallel and distributed environments Parallel Computing. 28: 827-859. DOI: 10.1016/S0167-8191(02)00097-2 |
0.77 |
|
| 2002 |
Ferreira R, Agrawal G, Saltz J. Data parallel language and compiler support for data intensive applications Parallel Computing. 28: 725-748. DOI: 10.1016/S0167-8191(02)00093-5 |
0.305 |
|
| 2002 |
Ferreira R, Agrawal G, Saltz J. Compiler supported high-level abstractions for sparse disk-resident datasets Proceedings of the International Conference On Supercomputing. 241-251. |
0.317 |
|
| 2001 |
Dyer K, Nichols JH, Taylor M, Miller R, Saltz J. Development of a universal connectivity and data management system. Critical Care Nursing Quarterly. 24: 25-38; quiz 2 p foll. PMID 11868692 DOI: 10.1097/00002727-200105000-00006 |
0.347 |
|
| 2001 |
Beynon MD, Kurc T, Sussman A, Saltz J. Optimizing execution of component-based applications using group instances Proceedings - 1st Ieee/Acm International Symposium On Cluster Computing and the Grid, Ccgrid 2001. 56-63. DOI: 10.1109/CCGRID.2001.923176 |
0.785 |
|
| 2001 |
Beynon MD, Sussman A, Çatalyürek, Kurc T, Saltz J. Performance optimization for data intensive grid applications Proceedings - 3rd Annual International Workshop On Active Middleware Services. 97-105. DOI: 10.1109/AMS.2001.993725 |
0.806 |
|
| 2001 |
Kurc T, Çatalyürek U, Chang C, Sussman A, Saltz J. Visualization of large data sets with the active data repository Ieee Computer Graphics and Applications. 21: 24-33. DOI: 10.1109/38.933521 |
0.597 |
|
| 2001 |
Beynon MD, Kurc T, Catalyurek U, Chang C, Sussman A, Saltz J. Distributed processing of very large datasets with DataCutter Parallel Computing. 27: 1457-1478. DOI: 10.1016/S0167-8191(01)00099-0 |
0.776 |
|
| 2001 |
Ferreira R, Agrawal G, Jin R, Saltz J. Compiling data intensive applications with spatial coordinates Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2017: 339-354. DOI: 10.1007/3-540-45574-4_22 |
0.353 |
|
| 2000 |
Kurc T, Uysal M, Eom H, Hollingsworth J, Saltz J, Sussman A. Efficient performance prediction for large-scale, data-intensive applications International Journal of High Performance Computing Applications. 14: 216-227. DOI: 10.1177/109434200001400305 |
0.324 |
|
| 2000 |
Taylor M, Saltz J, Nichols JH. Design of an Integrated Clinical Data Warehouse Jala - Journal of the Association For Laboratory Automation. 5. DOI: 10.1016/S1535-5535(04)00075-9 |
0.389 |
|
| 2000 |
Agrawal G, Ferreira R, Jin R, Saltz J. High level programming methodologies for data intensive computations Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 1915: 32-43. DOI: 10.1007/3-540-40889-4_3 |
0.584 |
|
| 1999 |
FERREIRA R, KURC T, BEYNON M, CHANG C, SUSSMAN A, SALTZ J. OBJECT-RELATIONAL QUERIES INTO MULTIDIMENSIONAL DATABASES WITH THE ACTIVE DATA REPOSITORY Parallel Processing Letters. 9: 173-195. DOI: 10.1142/S0129626499000190 |
0.785 |
|
| 1998 |
Afework A, Beynon MD, Bustamante F, Cho S, Demarzo A, Ferreira R, Miller R, Silberman M, Saltz J, Sussman A, Tsang H. Digital dynamic telepathology--the Virtual Microscope. Proceedings / Amia ... Annual Symposium. Amia Symposium. 912-6. PMID 9929351 |
0.779 |
|
| 1998 |
Shock CT, Chang C, Moon B, Acharya A, Davis L, Saltz J, Sussman A. The design and evaluation of a high-performance earth science database Parallel Computing. 24: 65-89. DOI: 10.1016/S0167-8191(97)00117-8 |
0.463 |
|
| 1998 |
Chang C, Acharya A, Sussman A, Saltz J. T2: A Customizable Parallel Database for Multi-dimensional Data Sigmod Record (Acm Special Interest Group On Management of Data). 27: 58-66. |
0.488 |
|
| 1998 |
Uysal M, Kurc TM, Sussman A, Saltz J. A performance prediction framework for data intensive applications on large scale parallel machines Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 1511: 243-258. |
0.312 |
|
| 1997 |
Edjlali G, Guyagrawal G, Sussman A, Humphries J, Saltz J. Run-Time and Compiler Support for Programming in Adaptive Parallel Environments Scientific Programming. 6: 215-227. DOI: 10.1155/1997/926796 |
0.387 |
|
| 1997 |
Saltz J, Chang C, Edjlali G, Hwang YS, Moon B, Ponnusamy R, Sharma S, Sussman A, Uysal M, Agrawal G, Das R, Havlak P. Programming Irregular Applications: Runtime Support, Compilation and Tools Advances in Computers. 45: 105-153. DOI: 10.1016/S0065-2458(08)60707-X |
0.598 |
|
| 1997 |
Agrawal G, Saltz J. Interprocedural data flow based optimizations for distributed memory compilation Software - Practice and Experience. 27: 519-545. DOI: 10.1002/(Sici)1097-024X(199705)27:5<519::Aid-Spe95>3.3.Co;2-F |
0.39 |
|
| 1996 |
Ujaldón M, Zapata EL, Sharma SD, Saltz J. Parallelization techniques for sparse matrix applications Journal of Parallel and Distributed Computing. 38: 256-266. DOI: 10.1006/Jpdc.1996.0146 |
0.36 |
|
| 1996 |
Shock CT, Chang C, Davis L, Goward S, Saltz J, Sussman A. A high performance image database system for remotely sensed imagery Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 1124: 109-122. |
0.566 |
|
| 1995 |
Nance RP, Wilmoth RG, Moon B, Hassan HA, Saltz J. Parallel Monte Carlo simulation of three-dimensional flow over a flat plate Journal of Thermophysics and Heat Transfer. 9: 471-477. DOI: 10.2514/3.689 |
0.304 |
|
| 1995 |
Saltz J, Rosing M. Low latency messages on distributed memory multiprocessors Scientific Programming. 4: 35-43. DOI: 10.1155/1995/531941 |
0.325 |
|
| 1995 |
CHONG FT, SHARMA SD, BREWER EA, SALTZ J. MULTIPROCESSOR RUNTIME SUPPORT FOR FINE-GRAINED, IRREGULAR DAGS Parallel Processing Letters. 5: 671-683. DOI: 10.1142/S012962649500059X |
0.362 |
|
| 1995 |
Ponnusamy R, Saltz J, Hwang YS, Choudhary A. Runtime Support and Compilation Methods for User-Specified Irregular Data Distributions Ieee Transactions On Parallel and Distributed Systems. 6: 815-831. DOI: 10.1109/71.406958 |
0.388 |
|
| 1995 |
Agrawal G, Sussman A, Saltz J. An Integrated Runtime and Compile-Time Approach for Parallelizing Structured and Block Structured Applications Ieee Transactions On Parallel and Distributed Systems. 6: 747-754. DOI: 10.1109/71.395403 |
0.392 |
|
| 1995 |
Wu J, Das R, Saltz J, Berryman H, Hiranandani S. Distributed Memory Compiler Design for Sparse Problems Ieee Transactions On Computers. 44: 737-753. DOI: 10.1109/12.391186 |
0.368 |
|
| 1995 |
Hwang Y, Moon B, Sharma SD, Ponnusamy R, Das R, Saltz JH. Runtime and language support for compiling adaptive irregular programs on distributed-memory machines Software: Practice and Experience. 25: 597-621. DOI: 10.1002/Spe.4380250603 |
0.319 |
|
| 1994 |
Das R, Mavriplis DJ, Saltz J, Gupta S, Ponnusamy R. Design and implementation of a parallel unstructured Euler solver using software primitives Aiaa Journal. 32: 489-496. DOI: 10.2514/3.12012 |
0.416 |
|
| 1994 |
S. LR, Hatcher PJ, Quinn MJ, Mehrotra P, Saltz J, Voigt R, Simon HD. Data-Parallel Programming on MIMD Computers. Mathematics of Computation. 63: 424. DOI: 10.2307/2153588 |
0.352 |
|
| 1994 |
Das R, Uysal M, Saltz J, Hwang YS. Communication Optimizations for Irregular Scientific Computations on Distributed Memory Architectures Journal of Parallel and Distributed Computing. 22: 462-478. DOI: 10.1006/Jpdc.1994.1104 |
0.399 |
|
| 1993 |
Ponnusamy R, Saltz J, Das R, Koelbel C, Choudhary A. Embedding Data Mappers with Distributed Memory Machine Compilers Acm Sigplan Notices. 28: 52-55. DOI: 10.1145/156668.156687 |
0.314 |
|
| 1992 |
Sussman A, Saltz J, Das R, Gupta S, Mavriplis D, Ponnusamy R, Crowley K. PARTI primitives for unstructured and block structured problems Computing Systems in Engineering. 3: 73-86. DOI: 10.1016/0956-0521(92)90096-2 |
0.356 |
|
| 1992 |
Choudhary A, Fox G, Hiranandani S, Kennedy K, Koelbel C, Ranka S, Saltz J. Software support for irregular and loosely synchronous problems Computing Systems in Engineering. 3: 43-52. DOI: 10.1016/0956-0521(92)90093-X |
0.302 |
|
| 1991 |
Hiranandani S, Saltz J, Mehrotra P, Berryman H. Performance of hashed cache data migration schemes on multicomputers Journal of Parallel and Distributed Computing. 12: 415-422. DOI: 10.1016/0743-7315(91)90010-7 |
0.351 |
|
| 1991 |
Berryman H, Saltz J, Scroggs J. Execution time support for adaptive scientific algorithms on distributed memory machines Concurrency: Practice and Experience. 3: 159-178. DOI: 10.1002/Cpe.4330030303 |
0.391 |
|
| 1990 |
Saltz J, Crowley K, Michandaney R, Berryman H. Run-time scheduling and execution of loops on message passing machines Journal of Parallel and Distributed Computing. 8: 303-312. DOI: 10.1016/0743-7315(90)90129-D |
0.389 |
|
| 1990 |
Berryman H, Saltz J, Gropp W, Mirchandaney R. Krylov methods preconditioned with incompletely factored matrices on the CM-2 Journal of Parallel and Distributed Computing. 8: 186-190. DOI: 10.1016/0743-7315(90)90093-5 |
0.31 |
|
| Show low-probability matches. |