Nicolas Jaccard

发表

Automated Method for the Rapid and Precise Estimation of Adherent Cell Culture Characteristics from Phase Contrast Microscopy Images

Lewis D. Griffin, Nicolas Jaccard, Nicolas Szita, 2013, Biotechnology and bioengineering.

AIROGS: Artificial Intelligence for RObust Glaucoma Screening Challenge

Coen de Vente, Hyun Bin Cho, B. Ginneken, 2023, IEEE transactions on medical imaging.

The Role of Artificial Intelligence in the Diagnosis and Management of Glaucoma

M. Kahook, S. Ittoop, N. Jaccard, 2021, Journal of glaucoma.

Software report: Deep learning takes to the air

S. Trikha, N. Jaccard, Jay Lakhani, 2017, Optician.

Calcium phosphate transfection generates mammalian recombinant cell lines with higher specific productivity than polyfection

J. Beckmann, F. Wurm, D. Hacker, 2008, Biotechnology and bioengineering.

Development of an image processing method for automated, non-invasive and scale-independent monitoring of adherent cell cultures

Nicolas Jaccard, N. Jaccard, Nicolas Jaccard, 2015 .

Automated and Online Characterization of Adherent Cell Culture Growth in a Microfabricated Bioreactor

Lewis D. Griffin, Farlan S. Veraitch, Nicolas Jaccard, 2014, Journal of laboratory automation.

Disease classification of macular Optical Coherence Tomography scans using deep learning software: validation on independent, multi-centre data

Kanwal K. Bhatia, Ashley Wood, Nicolas Jaccard, 2019, Retina.

Automated Evaluation of Optic Disc Images for Manifest Glaucoma Detection Using a Deep-Learning, Neural Network-Based Algorithm

Louis R. Pasquale, Nicolas Jaccard, Brian J. Song, 2018 .

Detection of concealed cars in complex cargo X-ray imagery using deep learning

Lewis D. Griffin, Nicolas Jaccard, Thomas W. Rogers, 2016, Journal of X-ray science and technology.

Microfabricated Modular Scale-Down Device for Regenerative Medicine Process Development

Lewis D. Griffin, N. Szita, M. Reichen, 2012, PloS one.

Trainable Segmentation of Phase Contrast Microscopy Images Based on Local Basic Image Features Histograms

Lewis D. Griffin, Nicolas Jaccard, Nicolas Szita, 2014, MIUA.

Automated X-ray Image Analysis for Cargo Security: Critical Review and Future Promise

Lewis D. Griffin, Nicolas Jaccard, Thomas W. Rogers, 2016, Journal of X-ray science and technology.

Microfluidic approaches for systems and synthetic biology.

Nicolas Jaccard, Frank Baganz, Karen Polizzi, 2010, Current opinion in biotechnology.

Evaluation of an AI system for the automated detection of glaucoma from stereoscopic optic disc photographs: the European Optic Disc Assessment Study

T. W. Rogers, H. Lemij, S. Trikha, 2019, Eye.

Real‐time monitoring of specific oxygen uptake rates of embryonic stem cells in a microfluidic cell culture device

Lewis D. Griffin, Nicolas Jaccard, Nicolas Szita, 2016, Biotechnology journal.

Impact of Artificial Intelligence Assessment of Diabetic Retinopathy on Referral Service Uptake in a Low-Resource Setting

N. Congdon, Wanjiku Mathenge, D. Cherwek, 2022, Ophthalmology science.

Tackling the x-ray cargo inspection challenge using machine learning

Lewis D. Griffin, Nicolas Jaccard, E. J. Morton, 2016, SPIE Defense + Security.