Nicolas Jaccard

According to our database, Nicolas Jaccard authored at least 12 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

AIROGS: Artificial Intelligence for Robust Glaucoma Screening Challenge.

Coen de Vente, Koenraad A. Vermeer, Nicolas Jaccard, He Wang, Hongyi Sun, Firas Khader, Daniel Truhn, Temirgali Aimyshev, Yerkebulan Zhanibekuly, Tien-Dung Le, Adrian Galdran, Miguel Ángel González Ballester, Gustavo Carneiro, Devika R. G, Hrishikesh Panikkasseril Sethumadhavan, Densen Puthussery, Hong Liu, Zekang Yang, Satoshi Kondo, Satoshi Kasai, Edward Wang, Ashritha Durvasula, Jónathan Heras, Miguel Ángel Zapata, Teresa Araújo, Guilherme Aresta, Hrvoje Bogunovic, Mustafa Arikan, Yeong Chan Lee, Hyun Bin Cho, Yoon Ho Choi, Abdul Qayyum, Imran Razzak, Bram van Ginneken, Hans G. Lemij, Clara I. Sánchez

IEEE Trans. Medical Imaging, January, 2024

2023

AIROGS: Artificial Intelligence for RObust Glaucoma Screening Challenge.

Coen de Vente, Koenraad A. Vermeer, Nicolas Jaccard, He Wang, Hongyi Sun, Firas Khader, Daniel Truhn, Temirgali Aimyshev, Yerkebulan Zhanibekuly, Tien-Dung Le, Adrian Galdran, Miguel Ángel González Ballester, Gustavo Carneiro, Devika R. G, Hrishikesh P. S, Densen Puthussery, Hong Liu, Zekang Yang, Satoshi Kondo, Satoshi Kasai, Edward Wang, Ashritha Durvasula, Jónathan Heras, Miguel Ángel Zapata, Teresa Araújo, Guilherme Aresta, Hrvoje Bogunovic, Mustafa Arikan, Yeong Chan Lee, Hyun Bin Cho, Yoon Ho Choi, Abdul Qayyum, Imran Razzak, Bram van Ginneken, Hans G. Lemij, Clara I. Sánchez

CoRR, 2023

2019

Evaluation of an AI System for the Detection of Diabetic Retinopathy from Images Captured with a Handheld Portable Fundus Camera: the MAILOR AI study.

Thomas W. Rogers, J. Gonzalez-Bueno, R. Garcia Franco, E. Lopez Star, D. Méndez Marín, J. Vassallo, V. C. Lansingh, Sameer Trikha, Nicolas Jaccard

CoRR, 2019

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

Kanwal K. Bhatia, Mark S. Graham, Louise Terry, Ashley Wood, Paris Tranos, Sameer Trikha, Nicolas Jaccard

CoRR, 2019

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

Thomas W. Rogers, Nicolas Jaccard, Francis Carbonaro, Hans G. Lemij, Koenraad A. Vermeer, Nicolaas J. Reus, Sameer Trikha

CoRR, 2019

2017

Segmentation of phase contrast microscopy images based on multi-scale local Basic Image Features histograms.

Nicolas Jaccard, Nicolas Szita, Lewis D. Griffin

Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2017

2016

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

Thomas W. Rogers, Nicolas Jaccard, Edward J. Morton, Lewis D. Griffin

CoRR, 2016

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

Nicolas Jaccard, Thomas W. Rogers, Edward J. Morton, Lewis D. Griffin

CoRR, 2016

Automated detection of smuggled high-risk security threats using deep learning.

Nicolas Jaccard, Thomas W. Rogers, Edward J. Morton, Lewis D. Griffin

Proceedings of the 7th International Conference on Imaging for Crime Detection and Prevention, 2016

Threat Image Projection (TIP) into X-ray images of cargo containers for training humans and machines.

Thomas W. Rogers, Nicolas Jaccard, Emmanouil D. Protonotarios, James Ollier, Edward J. Morton, Lewis D. Griffin

Proceedings of the IEEE International Carnahan Conference on Security Technology, 2016

2014

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

Nicolas Jaccard, Nicolas Szita, Lewis D. Griffin

Proceedings of the Medical Image Understanding and Analysis, 2014

Automated detection of cars in transmission X-ray images of freight containers.

Nicolas Jaccard, Thomas W. Rogers, Lewis D. Griffin

Proceedings of the 11th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2014