Follow
Nicolas Jaccard
Nicolas Jaccard
Principal AI Architect at Orbis International
Verified email at orbis.org - Homepage
Title
Cited by
Cited by
Year
Automated method for the rapid and precise estimation of adherent cell culture characteristics from phase contrast microscopy images
N Jaccard, LD Griffin, A Keser, RJ Macown, A Super, FS Veraitch, N Szita
Biotechnology and bioengineering 111 (3), 504-517, 2014
1532014
Detection of concealed cars in complex cargo X-ray imagery using deep learning
N Jaccard, TW Rogers, EJ Morton, LD Griffin
Journal of X-ray Science and Technology 25 (3), 323-339, 2017
832017
Automated x-ray image analysis for cargo security: Critical review and future promise
TW Rogers, N Jaccard, EJ Morton, LD Griffin
Journal of X-ray science and technology 25 (1), 33-56, 2017
742017
Microfluidic approaches for systems and synthetic biology
N Szita, K Polizzi, N Jaccard, F Baganz
Current opinion in biotechnology 21 (4), 517-523, 2010
742010
New disposable tubes for rapid and precise biomass assessment for suspension cultures of mammalian cells
M Stettler, N Jaccard, D Hacker, MD Jesus, FM Wurm, M Jordan
Biotechnology and bioengineering 95 (6), 1228-1233, 2006
512006
Real‐time monitoring of specific oxygen uptake rates of embryonic stem cells in a microfluidic cell culture device
A Super, N Jaccard, MPC Marques, RJ Macown, LD Griffin, FS Veraitch, ...
Biotechnology journal 11 (9), 1179-1189, 2016
432016
Threat Image Projection (TIP) into X-ray images of cargo containers for training humans and machines
TW Rogers, N Jaccard, ED Protonotarios, J Ollier, EJ Morton, LD Griffin
2016 IEEE International Carnahan Conference on Security Technology (ICCST), 1-7, 2016
412016
A deep learning framework for the automated inspection of complex dual-energy x-ray cargo imagery
TW Rogers, N Jaccard, LD Griffin
Anomaly Detection and Imaging with X-Rays (ADIX) II 10187, 106-117, 2017
402017
Tackling the X-ray cargo inspection challenge using machine learning
N Jaccard, TW Rogers, EJ Morton, LD Griffin
Anomaly Detection and Imaging with X-Rays (ADIX) 9847, 131-143, 2016
402016
Calcium phosphate transfection generates mammalian recombinant cell lines with higher specific productivity than polyfection
S Chenuet, D Martinet, N Besuchet‐Schmutz, M Wicht, N Jaccard, AC Bon, ...
Biotechnology and bioengineering 101 (5), 937-945, 2008
402008
Segmentation of phase contrast microscopy images based on multi-scale local basic image features histograms
N Jaccard, N Szita, LD Griffin
Computer Methods in Biomechanics and Biomedical Engineering: Imaging …, 2017
372017
Microfabricated modular scale-down device for regenerative medicine process development
M Reichen, RJ Macown, N Jaccard, A Super, L Ruban, LD Griffin, ...
PloS one 7 (12), e52246, 2012
372012
Automated detection of cars in transmission X-ray images of freight containers
N Jaccard, TW Rogers, LD Griffin
2014 11th IEEE International Conference on Advanced Video and Signal Based …, 2014
362014
Evaluation of an AI system for the automated detection of glaucoma from stereoscopic optic disc photographs: the European Optic Disc Assessment Study
TW Rogers, N Jaccard, F Carbonaro, HG Lemij, KA Vermeer, NJ Reus, ...
Eye 33 (11), 1791-1797, 2019
352019
Disease classification of macular optical coherence tomography scans using deep learning software: validation on independent, multicenter data
KK Bhatia, MS Graham, L Terry, A Wood, P Tranos, S Trikha, N Jaccard
Retina 40 (8), 1549-1557, 2020
302020
Evaluation of an AI system for the detection of diabetic retinopathy from images captured with a handheld portable fundus camera: the MAILOR AI study
TW Rogers, J Gonzalez-Bueno, R Garcia Franco, E Lopez Star, ...
Eye 35 (2), 632-638, 2021
282021
Automated detection of smuggled high-risk security threats using Deep Learning
N Jaccard, TW Rogers, EJ Morton, LD Griffin
7th International Conference on Imaging for Crime Detection and Prevention …, 2016
282016
Automated and online characterization of adherent cell culture growth in a microfabricated bioreactor
N Jaccard, RJ Macown, A Super, LD Griffin, FS Veraitch, N Szita
Journal of Laboratory Automation 19 (5), 437-443, 2014
252014
Using deep learning on X-ray images to detect threats
N Jaccard, TW Rogers, EJ Morton, LD Griffin
1st Defence and Security Doctoral Symposium, 2015
202015
Representation-learning for anomaly detection in complex x-ray cargo imagery
JTA Andrews, N Jaccard, TW Rogers, LD Griffin
Anomaly detection and imaging with X-Rays (ADIX) II 10187, 46-56, 2017
172017
The system can't perform the operation now. Try again later.
Articles 1–20