| 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 | 178 | 2017 |
| Comparison of segmentation algorithms for fluorescence microscopy images of cells AA Dima, JT Elliott, JJ Filliben, M Halter, A Peskin, J Bernal, M Kociolek, ... Cytometry Part A 79 (7), 545-559, 2011 | 149 | 2011 |
| Informatics infrastructure for the materials genome initiative A Dima, S Bhaskarla, C Becker, M Brady, C Campbell, P Dessauw, ... Jom 68, 2053-2064, 2016 | 94 | 2016 |
| 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 | 65 | 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 | 51 | 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 | 42 | 2016 |
| Terabyte-sized image computations on hadoop cluster platforms P Bajcsy, A Vandecreme, J Amelot, P Nguyen, J Chalfoun, M Brady 2013 IEEE International Conference on Big Data, 729-737, 2013 | 37 | 2013 |
| 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 | 34 | 2014 |
| Integrating domain knowledge in supervised machine learning to assess the risk of breast cancer A Bochare, A Gangopadhyay, Y Yesha, A Joshi, Y Yesha, M Brady, ... International Journal of Medical Engineering and Informatics 6 (2), 87-99, 2014 | 23 | 2014 |
| Segmenting time‐lapse phase contrast images of adjacent NIH 3T3 cells J Chalfoun, M Kociolek, A Dima, M Halter, A Cardone, A Peskin, P Bajcsy, ... Journal of microscopy 249 (1), 41-52, 2013 | 23 | 2013 |
| A method for the evaluation of thousands of automated 3D stem cell segmentations P Bajcsy, M Simon, SJ Florczyk, CG Simon Jr, D Juba, MC Brady Journal of microscopy 260 (3), 363-376, 2015 | 21 | 2015 |
| Ontology for big systems: The ontology summit 2012 communique T Schneider, A Hashemi, M Bennett, M Brady, C Casanave, H Graves, ... Applied Ontology 7 (3), 357-371, 2012 | 19 | 2012 |
| 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 |
| Accurate and interpretable classification of microspectroscopy pixels using artificial neural networks P Manescu, YJ Lee, C Camp, M Cicerone, M Brady, P Bajcsy Medical image analysis 37, 37-45, 2017 | 17 | 2017 |
| Evaluation of fault detection effectiveness for combinatorial and exhaustive selection of discretized test inputs C Montanez, DR Kuhn, M Brady, RM Rivello, J Reyes, MK Powers Software Quality Professional Magazine 14 (3), 32, 2012 | 13 | 2012 |
| 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 |
| Computational study of the inhibitory mechanism of the kinase CDK5 hyperactivity by peptide p5 and derivation of a pharmacophore A Cardone, M Brady, R Sriram, HC Pant, SA Hassan Journal of computer-aided molecular design 30, 513-521, 2016 | 12 | 2016 |
| Detection and characterization of nonspecific, sparsely populated binding modes in the early stages of complexation A Cardone, A Bornstein, HC Pant, M Brady, R Sriram, SA Hassan Journal of computational chemistry 36 (13), 983-995, 2015 | 12 | 2015 |
| VRML testing: Making VRML worlds look the same everywhere M Brady, A Dima, L Gebase, M Kass, C Montanez-Rivera, L Rosenthal IEEE computer graphics and applications 19 (2), 59-67, 1999 | 11 | 1999 |
