Keyword search (4,163 papers available)

"Li J" Authored Publications:

Title Authors PubMed ID
1 Development of an evaporation-driven sampling system for the in situ long-term monitoring of heavy metals in surface water Li X; Ma H; Shi S; Tian X; Nie L; Han X; Sun J; Chen Z; Li J; Chen K; 41886856
ENCS
2 Clinical Manifestations Jobin B; Frasnelli J; Phillips NA; Boller B; 41443638
CONCORDIA
3 Intraspecific complexity in mercury contamination of two harvested fishes revealed by genetics: Food security and conservation implications Gibelli J; Michaelides S; Won H; Chamlian B; Bampfylde C; Maclean B; Giroux P; Gray QZ; Voyageur M; Jeon HB; Bouchard R; Fraser DJ; 41380599
BIOLOGY
4 Identification of five sleep-biopsychosocial profiles with specific neural signatures linking sleep variability with health, cognition, and lifestyle factors Perrault AA; Kebets V; Kuek NMY; Cross NE; Tesfaye R; Pomares FB; Li J; Chee MWL; Dang-Vu TT; Yeo BTT; 41056215
HKAP
5 The predictive role of olfactory identification on episodic memory and mild cognitive impairment: Results from the CIMA-Q cohort Jobin B; Phillips NA; Frasnelli J; Boller B; 40944318
PSYCHOLOGY
6 Exon junction complexes regulate osteoclast-induced bone resorption by influencing the NFATc1 m6A distribution through the "shield effect" Sun B; Yang JG; Wang Z; Wang Z; Feng W; Li X; Liu SN; Li J; Zhu YQ; Zhang P; Wang W; 40051055
ENCS
7 Genomics-Enabled Mixed-Stock Analysis Uncovers Intraspecific Migratory Complexity and Detects Unsampled Populations in a Harvested Fish Gibelli J; Won H; Michaelides S; Jeon HB; Fraser DJ; 39995301
BIOLOGY
8 Widespread admixture blurs population structure and confounds Lake Trout (Salvelinus namaycush) conservation even in the genomic era Bernos TA; Gibelli J; Michaelides S; Won H; Jeon HB; Marin K; Boguski DA; Janjua MY; Gallagher CP; Howland KL; Fraser DJ; 39730611
BIOLOGY
9 Sustainable and energy-saving hydrogen production via binder-free and in situ electrodeposited Ni-Mn-S nanowires on Ni-Cu 3-D substrates Barati Darband G; Iravani D; Zhang M; Maleki M; Huang S; Khoshfetrat SM; Andaveh R; Li J; 39655509
ENCS
10 Integrative approach to mitigate chromium toxicity in soil and enhance antioxidant activities in rice (Oryza sativa L.) using magnesium-iron nanocomposite and Staphylococcus aureus strains Ali MA; Sardar MF; Dar AA; Niaz M; Ali J; Wang Q; Zheng Y; Luo Y; Albasher G; Li F; 39190219
ENCS
11 A multidimensional investigation of sleep and biopsychosocial profiles with associated neural signatures Perrault AA; Kebets V; Kuek NMY; Cross NE; Tesfaye R; Pomares FB; Li J; Chee MWL; Dang-Vu TT; Yeo BTT; 38659875
HKAP
12 A multidimensional investigation of sleep and biopsychosocialprofiles with associated neural signatures Perrault AA; Kebets V; Kuek NMY; Cross NE; Tesfaye R; Pomares FB; Li J; Chee MWL; Dang-Vu TT; Thomas Yeo BT; 38559143
HKAP
13 Alternative Oxidase: From Molecule and Function to Future Inhibitors Li J; Yang S; Wu Y; Wang R; Liu Y; Liu J; Ye Z; Tang R; Whiteway M; Lv Q; Yan L; 38524433
BIOLOGY
14 Exosome-targeted delivery of METTL14 regulates NFATc1 m6A methylation levels to correct osteoclast-induced bone resorption Yang JG; Sun B; Wang Z; Li X; Gao JH; Qian JJ; Li J; Wei WJ; Zhang P; Wang W; 37957146
ENCS
15 Species-specific protein-protein interactions govern the humanization of the 20S proteasome in yeast Sultana S; Abdullah M; Li J; Hochstrasser M; Kachroo AH; 37364278
BIOLOGY
16 The Sugar Metabolic Model of Aspergillus niger Can Only Be Reliably Transferred to Fungi of Its Phylum Li J; Chroumpi T; Garrigues S; Kun RS; Meng J; Salazar-Cerezo S; Aguilar-Pontes MV; Zhang Y; Tejomurthula S; Lipzen A; Ng V; Clendinen CS; Tolic N; Grigoriev IV; Tsang A; Mäkelä MR; Snel B; Peng M; de Vries RP; 36547648
BIOLOGY
17 Transcriptional Profiling of the Candida albicans Response to the DNA Damage Agent Methyl Methanesulfonate Feng Y; Zhang Y; Li J; Omran RP; Whiteway M; Feng J; 35886903
BIOLOGY
18 Perfluoroalkyl and polyfluoroalkyl substances (PFASs) in groundwater: current understandings and challenges to overcome Zhao Z; Li J; Zhang X; Wang L; Wang J; Lin T; 35593984
CHEMBIOCHEM
19 The Effect of Stimulus Duration on the Nostril Localization of Eucalyptol. Frasnelli J, Gingras-Lessard F, Robert J, Steffener J 28334125
PERFORM
20 The eIF2α Kinase GCN2 Modulates Period and Rhythmicity of the Circadian Clock by Translational Control of Atf4. Pathak SS, Liu D, Li T, de Zavalia N, Zhu L, Li J, Karthikeyan R, Alain T, Liu AC, Storch KF, Kaufman RJ, Jin VX, Amir S, Sonenberg N, Cao R 31522764
CSBN
21 Objective Evaluation of Multiple Sclerosis Lesion Segmentation using a Data Management and Processing Infrastructure. Commowick O, Istace A, Kain M, Laurent B, Leray F, Simon M, Pop SC, Girard P, Améli R, Ferré JC, Kerbrat A, Tourdias T, Cervenansky F, Glatard T, Beaumont J, Doyle S, Forbes F, Knight J, Khademi A, Mahbod A, Wang C, McKinley R, Wagner F, Muschelli J, Sweeney E, Roura E, Lladó X, Santos MM, Santos WP, Silva-Filho AG, Tomas-Fernandez X, Urien H, Bloch I, Valverde S, Cabezas M, Vera-Olmos FJ, Malpica N, Guttmann C, Vukusic S, Edan G, Dojat M, Styner M, Warfield SK, Cotton F, Barillot C 30209345
ENCS

 

Title:Objective Evaluation of Multiple Sclerosis Lesion Segmentation using a Data Management and Processing Infrastructure.
Authors:Commowick OIstace AKain MLaurent BLeray FSimon MPop SCGirard PAméli RFerré JCKerbrat ATourdias TCervenansky FGlatard TBeaumont JDoyle SForbes FKnight JKhademi AMahbod AWang CMcKinley RWagner FMuschelli JSweeney ERoura ELladó XSantos MMSantos WPSilva-Filho AGTomas-Fernandez XUrien HBloch IValverde SCabezas MVera-Olmos FJMalpica NGuttmann CVukusic SEdan GDojat MStyner MWarfield SKCotton FBarillot C
Link:https://www.ncbi.nlm.nih.gov/pubmed/30209345?dopt=Abstract
Publication:
Keywords:
PMID:30209345 Category:Sci Rep Date Added:2019-06-04
Dept Affiliation: ENCS
1 VISAGES: INSERM U1228 - CNRS UMR6074 - Inria, University of Rennes I, Rennes, France. Olivier.Commowick@inria.fr.
2 Department of Radiology, Lyon Sud Hospital, Hospices Civils de Lyon, Lyon, France.
3 VISAGES: INSERM U1228 - CNRS UMR6074 - Inria, University of Rennes I, Rennes, France.
4 LaTIM, INSERM, UMR 1101, University of Brest, IBSAM, Brest, France.
5 Univ Lyon, INSA-Lyon, Université Claude Bernard Lyon 1, UJM-Saint Etienne, CNRS, Inserm, CREATIS UMR 5220, U1206, F-69621, Lyon, France.
6 CHU Rennes, Department of Neuroradiology, F-35033, Rennes, France.
7 CHU Rennes, Department of Neurology, F-35033, Rennes, France.
8 CHU de Bordeaux, Service de Neuro-Imagerie, Bordeaux, France.
9 Department of Computer Science and Software Engineering, Concordia University, Montreal, Canada.
10 Pixyl Medical, Grenoble, France.
11 Inria Grenoble Rhône-Alpes, Grenoble, France.
12 Image Analysis in Medicine Lab, School of Engineering, University of Guelph, Guelph, Canada.
13 Image Analysis in Medicine Lab (IAMLAB), Ryerson University, Toronto, Canada.
14 School of Technology and Health, KTH Royal Institute of Technology, Stockholm, Sweden.
15 Department of Diagnostic and Interventional Neuroradiology, Inselspital, University of Bern, Bern, Switzerland.
16 Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
17 Research institute of Computer Vision and Robotics (VICOROB), University of Girona, Girona, Spain.
18 Centro de Informática, Universidade Federal de Pernambuco, Pernambuco, Brazil.
19 Depto. de Eng. Biomédica, Universidade Federal de Pernambuco, Pernambuco, Brazil.
20 Computational Radiology Laboratory, Department of Radiology, Children's Hospital, 300 Longwood Avenue, Boston, MA, USA.
21 LTCI, Télécom ParisTech, Université Paris-Saclay, Paris, France.
22 Medical Image Analysis Lab, Universidad Rey Juan Carlos, Madrid, Spain.
23 Center for Neurological Imaging, Department of Radiology, Brigham and Women's Hospital, Boston, MA, USA.
24 Inserm U1216, University Grenoble Alpes, CHU Grenoble, GIN, Grenoble, France.
25 Department of Computer Science, University of North Carolina, Chapel Hill, NC, USA.

Description:

Objective Evaluation of Multiple Sclerosis Lesion Segmentation using a Data Management and Processing Infrastructure.

Sci Rep. 2018 Sep 12;8(1):13650

Authors: Commowick O, Istace A, Kain M, Laurent B, Leray F, Simon M, Pop SC, Girard P, Améli R, Ferré JC, Kerbrat A, Tourdias T, Cervenansky F, Glatard T, Beaumont J, Doyle S, Forbes F, Knight J, Khademi A, Mahbod A, Wang C, McKinley R, Wagner F, Muschelli J, Sweeney E, Roura E, Lladó X, Santos MM, Santos WP, Silva-Filho AG, Tomas-Fernandez X, Urien H, Bloch I, Valverde S, Cabezas M, Vera-Olmos FJ, Malpica N, Guttmann C, Vukusic S, Edan G, Dojat M, Styner M, Warfield SK, Cotton F, Barillot C

Abstract

We present a study of multiple sclerosis segmentation algorithms conducted at the international MICCAI 2016 challenge. This challenge was operated using a new open-science computing infrastructure. This allowed for the automatic and independent evaluation of a large range of algorithms in a fair and completely automatic manner. This computing infrastructure was used to evaluate thirteen methods of MS lesions segmentation, exploring a broad range of state-of-theart algorithms, against a high-quality database of 53 MS cases coming from four centers following a common definition of the acquisition protocol. Each case was annotated manually by an unprecedented number of seven different experts. Results of the challenge highlighted that automatic algorithms, including the recent machine learning methods (random forests, deep learning, …), are still trailing human expertise on both detection and delineation criteria. In addition, we demonstrate that computing a statistically robust consensus of the algorithms performs closer to human expertise on one score (segmentation) although still trailing on detection scores.

PMID: 30209345 [PubMed - in process]





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