| 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 | 191 | 2017 |
| Cell image segmentation using generative adversarial networks, transfer learning, and augmentations M Majurski, P Manescu, S Padi, N Schaub, N Hotaling, C Simon Jr, ... Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 92 | 2019 |
| FogBank: a single cell segmentation across multiple cell lines and image modalities J Chalfoun, M Majurski, A Dima, C Stuelten, A Peskin, M Brady Bmc Bioinformatics 15, 1-12, 2014 | 69 | 2014 |
| Survey statistics of automated segmentations applied to optical imaging of mammalian cells P Bajcsy, A Cardone, J Chalfoun, M Halter, D Juba, M Kociolek, ... BMC bioinformatics 16, 1-28, 2015 | 61 | 2015 |
| Empirical gradient threshold technique for automated segmentation across image modalities and cell lines J Chalfoun, M Majurski, A Peskin, C Breen, P Bajcsy, M Brady Journal of microscopy 260 (1), 86-99, 2015 | 52 | 2015 |
| Lineage mapper: A versatile cell and particle tracker J Chalfoun, M Majurski, A Dima, M Halter, K Bhadriraju, M Brady Scientific reports 6 (1), 36984, 2016 | 46 | 2016 |
| Approaches to training multiclass semantic image segmentation of damage in concrete P Bajcsy, S Feldman, M Majurski, K Snyder, M Brady Journal of Microscopy 279 (2), 98-113, 2020 | 12 | 2020 |
| Analyzing u-net robustness for single cell nucleus segmentation from phase contrast images C Ling, M Majurski, M Halter, J Stinson, A Plant, J Chalfoun Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 12 | 2020 |
| Background intensity correction for terabyte‐sized time‐lapse images J Chalfoun, M Majurski, K Bhadriraju, S Lund, P Bajcsy, M Brady Journal of Microscopy 257 (3), 226-237, 2015 | 11 | 2015 |
| Baseline pruning-based approach to trojan detection in neural networks P Bajcsy, M Majurski arXiv preprint arXiv:2101.12016, 2021 | 10 | 2021 |
| Summary: Workshop on machine learning for optical communication systems J Gordon, A Battou, M Majurski, D Kilper, UC de Moura, D Zibar, ... Workshop on Machine Learning for Optical Communication Systems, 2020 | 10 | 2020 |
| 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 |
| Enabling stem cell characterization from large microscopy images P Bajcsy, A Vandecreme, J Amelot, J Chalfoun, M Majurski, M Brady Computer 49 (7), 70-79, 2016 | 8 | 2016 |
| Designing trojan detectors in neural networks using interactive simulations P Bajcsy, NJ Schaub, M Majurski Applied Sciences 11 (4), 1865, 2021 | 7 | 2021 |
| Detection of dense, overlapping, geometric objects A Peskin, B Wilthan, M Majurski International journal of artificial intelligence & applications 11 (4), 2020 | 5 | 2020 |
| 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 |
| Enabling interactive measurements from large coverage microscopy P Bajcsy, A Vandecreme, J Amelot, J Chalfoun, M Majurski, M Brady Computer 49 (7), 70, 2016 | 5 | 2016 |
| 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 |
| Exact tile-based segmentation inference for images larger than gpu memory M Possolo, P Bajcsy Journal of Research of the National Institute of Standards and Technology 126, 2021 | 4 | 2021 |
| Large field of view quantitative phase imaging of induced pluripotent stem cells and optical pathlength reference materials E Kwee, A Peterson, J Stinson, M Halter, L Yu, M Majurski, J Chalfoun, ... Quantitative Phase Imaging IV 10503, 182-189, 2018 | 4 | 2018 |