A generative vision model that trains with high data efficiency and breaks text-based CAPTCHAs D George, W Lehrach, K Kansky, M Lázaro-Gredilla, C Laan, B Marthi, ... Science 358 (6368), eaag2612, 2017 | 319 | 2017 |
Schema networks: Zero-shot transfer with a generative causal model of intuitive physics K Kansky, T Silver, DA Mély, M Eldawy, M Lázaro-Gredilla, X Lou, ... International conference on machine learning, 1809-1818, 2017 | 288 | 2017 |
Oct4 is required for lineage priming in the developing inner cell mass of the mouse blastocyst GC Le Bin, S Muñoz-Descalzo, A Kurowski, H Leitch, X Lou, W Mansfield, ... Development 141 (5), 1001-1010, 2014 | 194 | 2014 |
A rapid and efficient 2D/3D nuclear segmentation method for analysis of early mouse embryo and stem cell image data X Lou, M Kang, P Xenopoulos, S Munoz-Descalzo, AK Hadjantonakis Stem cell reports 2 (3), 382-397, 2014 | 127 | 2014 |
FPGA-based System Design by Examples T Liu, X Lou Posts & Telecommunications Press, 2005 | 101* | 2005 |
Learning to segment dense cell nuclei with shape prior X Lou, U Koethe, J Wittbrodt, FA Hamprecht 2012 IEEE Conference on Computer Vision and Pattern Recognition, 1012-1018, 2012 | 60 | 2012 |
Method, interaction method and apparatus for visualizing hierarchy data with angular chart SX Liu, XH Lou, H Su, HC Young US Patent App. 12/044,232, 2008 | 54 | 2008 |
Hexicon 2: automated processing of hydrogen-deuterium exchange mass spectrometry data with improved deuteration distribution estimation R Lindner, X Lou, J Reinstein, RL Shoeman, FA Hamprecht, A Winkler Journal of the American Society for Mass Spectrometry 25 (6), 1018-1028, 2014 | 48 | 2014 |
Structured Learning for Cell Tracking X Lou, FA Hamprecht Twenty-Fifth Annual Conference on Neural Information Processing Systems …, 2011 | 48 | 2011 |
Deuteration distribution estimation with improved sequence coverage for HX/MS experiments X Lou, M Kirchner, BY Renard, U Köthe, S Boppel, C Graf, CT Lee, ... Bioinformatics 26 (12), 1535-1541, 2010 | 46 | 2010 |
Structured learning from partial annotations X Lou, F Hamprecht The 29th International Conference on Machine Learning (ICML 2012), 2012 | 41 | 2012 |
An empirical analysis of topic modeling for mining cancer clinical notes KR Chan, X Lou, T Karaletsos, C Crosbie, S Gardos, D Artz, G Rätsch 2013 IEEE 13th International Conference on Data Mining Workshops, 56-63, 2013 | 40 | 2013 |
Quantitative analysis of protein expression to study lineage specification in mouse preimplantation embryos N Saiz, M Kang, N Schrode, X Lou, AK Hadjantonakis Journal of visualized experiments: JoVE, 2016 | 36 | 2016 |
Active structured learning for cell tracking: algorithm, framework, and usability X Lou, M Schiegg, FA Hamprecht IEEE transactions on medical imaging 33 (4), 849-860, 2014 | 34 | 2014 |
SQL Server 2000 Database Systems by Examples T Liu, X Lou Posts & Telecommunications Press, 2004 | 33* | 2004 |
Automated detection and analysis of bimodal isotope peak distributions in H/D exchange mass spectrometry using HeXicon A Kreshuk, M Stankiewicz, X Lou, M Kirchner, FA Hamprecht, MP Mayer International Journal of Mass Spectrometry 302 (1), 125-131, 2011 | 27 | 2011 |
Deltr: Digital embryo lineage tree reconstructor X Lou, FO Kaster, MS Lindner, BX Kausler, U Kothe, B Hockendorf, ... Biomedical Imaging: From Nano to Macro, 2011 IEEE International Symposium on …, 2011 | 27 | 2011 |
Fanlens: A visual toolkit for dynamically exploring the distribution of hierarchical attributes X Lou, S Liu, T Wang 2008 IEEE Pacific Visualization Symposium, 151-158, 2008 | 14 | 2008 |
Live imaging, identifying, and tracking single cells in complex populations in vivo and ex vivo M Kang, P Xenopoulos, S Muñoz-Descalzo, X Lou, AK Hadjantonakis Imaging and Tracking Stem Cells: Methods and Protocols, 109-123, 2013 | 13 | 2013 |
Generative shape models: Joint text recognition and segmentation with very little training data X Lou, K Kansky, W Lehrach, CC Laan, B Marthi, D Phoenix, D George advances in neural information processing systems 29, 2016 | 12 | 2016 |