| MIST: accurate and scalable microscopy image stitching tool with stage modeling and error minimization J Chalfoun, M Majurski, T Blattner, K Bhadriraju, W Keyrouz, P Bajcsy, ... Scientific reports 7 (1), 4988, 2017 | 161 | 2017 |
| A hybrid CPU-GPU system for stitching large scale optical microscopy images T Blattner, W Keyrouz, J Chalfoun, B Stivalet, M Brady, S Zhou 2014 43rd International Conference on Parallel Processing, 1-9, 2014 | 33 | 2014 |
| A hybrid task graph scheduler for high performance image processing workflows T Blattner, W Keyrouz, SS Bhattacharyya, M Halem, M Brady Journal of signal processing systems 89, 457-467, 2017 | 18 | 2017 |
| Scatter corrections in x-ray computed tomography: a physics-based analysis ZH Levine, TJ Blattner, AP Peskin, AL Pintar Journal of Research of the National Institute of Standards and Technology 124, 1, 2019 | 13 | 2019 |
| Performance study on CUDA GPUs for parallelizing the local ensemble transformed Kalman filter algorithm T Blattner, S Yang Concurrency and Computation: Practice and Experience 24 (2), 167-177, 2012 | 9 | 2012 |
| MIST: accurate and scalable microscopy image stitching tool with stage modeling and error minimization. Sci. Rep. 7, 1–10 J Chalfoun, M Majurski, T Blattner, K Bhadriraju, W Keyrouz, P Bajcsy, ... | 8 | 2017 |
| Model-based dynamic scheduling for multicore implementation of image processing systems J Wu, T Blattner, W Keyrouz, SS Bhattacharyya 2017 IEEE International Workshop on Signal Processing Systems (SiPS), 1-6, 2017 | 6 | 2017 |
| CGMBE: a model-based tool for the design and implementation of real-time image processing applications on CPU–GPU platforms J Wu, J Xie, A Bardakoff, T Blattner, W Keyrouz, SS Bhattacharyya Journal of Real-Time Image Processing 18, 561-583, 2021 | 5 | 2021 |
| From image tiles to web-based interactive measurements in one stop A Vandecreme, M Majurski, J Chalfoun, K Scott, JHJ Scott, M Brady, ... Microscopy today 25 (1), 18-27, 2017 | 5 | 2017 |
| Mist: Microscopy image stitching tool J Chalfoun, M Majurski, T Blattner, W Keyrouz, P Bajcsy, M Brady 2015 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2015 | 5 | 2015 |
| Hedgehog: understandable scheduler-free heterogeneous asynchronous multithreaded data-flow graphs A Bardakoff, B Bachelet, T Blattner, W Keyrouz, GC Kroiz, L Yon 2020 IEEE/ACM 3rd Annual Parallel Applications Workshop: Alternatives To …, 2020 | 4 | 2020 |
| Uintah+ hedgehog: combining parallelism models for end-to-end large-scale simulation performance JK Holmen, D Sahasrabudhe, M Berzins, A Bardakoff, TJ Blattner, ... Scientific Computing and Imaging Institute, 2021 | 2 | 2021 |
| Study of Exploiting Coarse‐Grained Parallelism in Block‐Oriented Numerical Linear Algebra Routines GC Kroiz, A Bardakoff, T Blattner, W Keyrouz PAMM 20 (1), e202000089, 2021 | 2 | 2021 |
| A design tool for high performance image processing on multicore platforms J Wu, T Blattner, W Keyrouz, SS Bhattacharyya 2018 Design, Automation & Test in Europe Conference & Exhibition (DATE …, 2018 | 2 | 2018 |
| A Hybrid CPU/GPU Pipeline Workflow System T Blattner University of Maryland, Baltimore County, 2013 | 2 | 2013 |
| Model-based dynamic scheduling for multicore signal processing J Wu, T Blattner, W Keyrouz, SS Bhattacharyya Journal of Signal Processing Systems 91, 981-994, 2019 | 1 | 2019 |
| The Hybrid Task Graph Scheduler T Blattner University of Maryland, Baltimore County, 2016 | 1 | 2016 |
| Hierarchical Approach to Explaining Poisoned AI Models P Bajcsy, A Cardone, P Dessauw, M Majurski, D Juba, T Blattner, ... | | 2023 |
| Extending Hedgehog’s Dataflow Graphs to Multi-node GPU Architectures N Shingde, M Berzins, T Blattner, W Keyrouz, A Bardakoff Workshop on Asynchronous Many-Task Systems and Applications, 1-12, 2023 | | 2023 |
| AI Model Utilization Measurements For Finding Class Encoding Patterns P Bajcsy, A Cardone, C Ling, P Dessauw, M Majurski, T Blattner, D Juba, ... arXiv preprint arXiv:2212.06576, 2022 | | 2022 |
