David Richmond
David Richmond
Senior Scientist, IBM Watson Health
Bestätigte E-Mail-Adresse bei ibm.com
TitelZitiert vonJahr
Unilamellar vesicle formation and encapsulation by microfluidic jetting
JC Stachowiak, DL Richmond, TH Li, AP Liu, SH Parekh, DA Fletcher
Proceedings of the national academy of sciences 105 (12), 4697-4702, 2008
2352008
Forming giant vesicles with controlled membrane composition, asymmetry, and contents
DL Richmond, EM Schmid, S Martens, JC Stachowiak, N Liska, ...
Proceedings of the national academy of sciences 108 (23), 9431-9436, 2011
1612011
Membrane-induced bundling of actin filaments
AP Liu, DL Richmond, L Maibaum, S Pronk, PL Geissler, DA Fletcher
Nature physics 4 (10), 789-793, 2008
1502008
Inkjet formation of unilamellar lipid vesicles for cell-like encapsulation
JC Stachowiak, DL Richmond, TH Li, F Brochard-Wyart, DA Fletcher
Lab on a Chip 9 (14), 2003-2009, 2009
902009
Death receptors DR6 and TROY regulate brain vascular development
SJ Tam, DL Richmond, JS Kaminker, Z Modrusan, B Martin-McNulty, ...
Developmental cell 22 (2), 403-417, 2012
832012
A Doppler effect in embryonic pattern formation
D Soroldoni, DJ Jörg, LG Morelli, DL Richmond, J Schindelin, F Jülicher, ...
Science 345 (6193), 222-225, 2014
762014
Stratified tidal flow over a bump
R Dewey, D Richmond, C Garrett
Journal of Physical Oceanography 35 (10), 1911-1927, 2005
452005
The segmentation clock: inherited trait or universal design principle?
DL Richmond, AC Oates
Current opinion in genetics & development 22 (6), 600-606, 2012
332012
Mapping Auto-context Decision Forests to Deep ConvNets for Semantic Segmentation
DL Richmond, D Kainmueller, MY Yang, EW Myers, C Rother, ...
The British Machine Vision Conference (BMVC), 2016
28*2016
Reconstitution of proteins on electroformed giant unilamellar vesicles
EM Schmid, DL Richmond, DA Fletcher
Methods in cell biology 128, 319-338, 2015
222015
Uncertainty-driven forest predictors for vertebra localization and segmentation
D Richmond, D Kainmueller, B Glocker, C Rother, G Myers
International Conference on Medical Image Computing and Computer-Assisted …, 2015
152015
Mapping stacked decision forests to deep and sparse convolutional neural networks for semantic segmentation
DL Richmond, D Kainmueller, M Yang, EW Myers, C Rother
arXiv preprint arXiv:1507.07583, 2015
122015
Size-reduced embryos reveal a gradient scaling-based mechanism for zebrafish somite formation
K Ishimatsu, TW Hiscock, ZM Collins, DWK Sari, K Lischer, DL Richmond, ...
Development 145 (11), dev161257, 2018
102018
Convexity Shape Constraints for Image Segmentation
D Royer, Loic A. and Richmond, David L. and Rother, Carsten and Andres ...
The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016
10*2016
Development of MAST: a microscopy-based antimicrobial susceptibility testing platform
KP Smith, DL Richmond, T Brennan-Krohn, HL Elliott, JE Kirby
SLAS TECHNOLOGY: Translating Life Sciences Innovation 22 (6), 662-674, 2017
82017
Bots for software-assisted analysis of image-based transcriptomics
M Cicconet, DR Hochbaum, DL Richmond, BL Sabatini
Proceedings of the IEEE International Conference on Computer Vision …, 2017
72017
DeadNet: identifying phototoxicity from label-free microscopy images of cells using Deep ConvNets
D Richmond, APT Jost, T Lambert, J Waters, H Elliott
arXiv preprint arXiv:1701.06109, 2017
42017
Bacterial variability in the mammalian gut captured by a single-cell synthetic oscillator
DT Riglar, DL Richmond, L Potvin-Trottier, AA Verdegaal, AD Naydich, ...
Nature communications 10 (1), 1-12, 2019
3*2019
Pre-training on Grayscale ImageNet Improves Medical Image Classification
Y Xie, D Richmond
ECCV Workshop https://link.springer.com/chapter/10.1007/978-3-030-11024-6_37 …, 2019
22019
Image Forensics: Detecting duplication of scientific images with manipulation-invariant image similarity
M Cicconet, H Elliott, DL Richmond, D Wainstock, M Walsh
arXiv preprint arXiv:1802.06515, 2018
22018
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