Publications - 'M'
Publications 1 - 25 de 1879
| Titre | DOI |
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M-Centrality: identifying key nodes based on global position and local degree variation A. Ibnoulouafi; M.El Haziti; H. Cherifi 2018 |
10.1088/1742-5468/aace08 |
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M-HELP - Multi-Hop Emergency Call Protocol in 5G V. Basnayake; H. Mabed; D.Nalin K. Jayakody; P. Canalda 2020 |
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M2 isoform of pyruvate kinase (PKM2) is upregulated in Kazakh's ESCC and promotes proliferation and migration of ESCC cells Q. Liu; M. Liang; T. Liu; L. Vuitton; S. Zheng; X. Gao; M. Lu; X. Li; I. Sheyhidin; X. Lu 2016 |
10.1007/s13277-015-4073-z |
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M7824 (MSB0011359C), a bifunctional fusion protein targeting PD-L1 and TGF-beta, in patients (pts) with advanced SCCHN: Results from a phase I cohort B.C. Cho; A. Daste; A. Ravaud; S. Salas; N. Isambert; E. McClay; A. Awada; C. Borel; J. Gulley; L. Ojalvo; C. Helwig; P.A. Rolfe; N. Penel 2018 |
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M7824 (MSB0011359C), a bifunctional fusion protein targeting PD-L1 and TGF-beta, in patients (pts) with advanced SCCHN: Results from a phase I cohort B.C. Cho; A. Daste; A. Ravaud; S. Salas; N. Isambert; E. McClay; A. Awada; C. Borel; J. Gulley; L. Ojalvo; C. Helwig; P.A. Rolfe; N. Penel 2018 |
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M7824 (MSB0011359C), a bifunctional fusion protein targeting PD-L1 and TGF-beta, in patients with post-platinum esophageal adenocarcinoma (EAC): Preliminary results from a phase I cohort B. Tan; A. Khattak; E. Felip; K. Kelly; P. Rich; D. Wang; C. Helwig; I. Dussault; L. Ojalvo; N. Isambert 2018 |
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M7824 (MSB0011359C), a bifunctional fusion protein targeting PD-L1 and TGF-beta, in patients with post-platinum esophageal adenocarcinoma (EAC): Preliminary results from a phase I cohort B. Tan; A. Khattak; E. Felip; K. Kelly; P. Rich; D. Wang; C. Helwig; I. Dussault; L. Ojalvo; N. Isambert 2018 |
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MA-NOTA and MA-NOTMP: conjugation to trastuzumab Fab and labelling with 64Cu S. Poty; P. Desogere; C. Bernhard; M. Moreau; C. Goze; F. Boschetti; O. Raguin; B. Collin; F. Brunotte; F. Denat 2014 |
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MA-NOTA: a new chelator for efficient Cu-64 antibody radiolabeling M. Moreau; S. Poty; J. Vrigneaud; P. Walker; M. Guillemin; O. Raguin; A. Oudot; C. Bernhard; C. Goze; F. Boschetti; B. Collin; F. Brunotte; F. Denat 2016 |
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MA-NOTMP: A Triazacyclononane Trimethylphosphinate Based Bifunctional Chelator for Gallium Radiolabelling of Biomolecules S. Poty; P. Desogere; J. Simecek; C. Bernhard; V. Goncalves; C. Goze; F. Boschetti; J. Notni; H.J. Wester; F. Denat 2015 |
10.1002/cmdc.201500198 |
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MAAT: Menses after adjuvant treatment. Prediction of menses recovery after chemotherapy for early breast cancer (BC) by using a nomogram model in UNICANCER PACS04 and PACS05 trials B. Pistilli; C. Mazouni; A. Zingarello; M. Faron; M. Saghatchian; M. Grynberg; M. Spielmann; P. Kerbrat; H. Roche; V. Lorgis; T. Bachelot; M. Campone; C. Levy; A. Goncalves; A. Lesur; C. Veyrat; L. Vanlemmens; J. Lemonnier; S. Delaloge 2018 |
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MaB mu lS-2: high-precision microlensing modelling for the large-scale survey era D. Specht; E. Kerins; S. Awiphan; A.C. Robin 2020 |
10.1093/mnras/staa2375 |
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MAC-aware Routing in Multi-Sink WSN with Dynamic Back-off Time and Buffer Constraint L. Leao; V. Felea; H. Guyennet 2016 |
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MAC-aware Routing in Wireless Sensor Networks L. Louail; V. Felea; J. Bernard; H. Guyennet 2015 |
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Maca against Echinococcosis?-A Reverse Approach from Patient to In Vitro Testing T. Karpstein; S. Chaudhry; S. Bresson-Hadni; M. Hayoz; G. Boubaker; A. Hemphill; R. Rufener; M. Kaethner; I. Schindler; Y. Aebi; A.Sa Cunha; C.R. Largiader; B. Lundstroem-Stadelmann 2021 |
10.3390/pathogens10101335 |
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MacAB-TolC Contributes to the Development of Acinetobacter baumannii Biofilm at the Solid-Liquid Interface B. Robin; M. Nicol; H. Le; A. Tahrioui; A. Schaumann; J.B. Vuillemenot; D. Vergoz; O. Lesouhaitier; T. Jouenne; J. Hardouin; A. Potron; V. Perrot; E. De 2022 |
10.3389/fmicb.2021.785161 |
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Machinability of inconel 718 during turning: Cutting force model considering tool wear, influence on surface integrity B. Toubhans; G. Fromentin; F. Viprey; H. Karaouni; T. Dorlin 2020 |
10.1016/j.jmatprotec.2020.116809 |
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Machine Health Indicator Construction Framework for Failure Diagnostics and Prognostics V. Atamuradov; K. Medjaher; F. Camci; N. Zerhouni; P. Dersin; B. Lamoureux 2020 |
10.1007/s11265-019-01491-4 |
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Machine Learning Algorithms Provide Greater Prediction of Response to SCS Than Lead Screening Trial: A Predictive AI-Based Multicenter Study A. Ounajim; M. Billot; L. Goudman; P.Y. Louis; Y. Slaoui; M. Roulaud; B. Bouche; P. Page; B. Lorgeoux; S. Baron; N. Adjali; K. Nivole; N. Naiditch; C. Wood; R. Rigoard; R. David; M. Moens; P. Rigoard 2021 |
10.3390/jcm10204764 |
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Machine learning analysis of extreme events in optical fibre modulation instability M. Narhi; L. Salmela; J. Toivonen; C. Billet; J.M. Dudley; G. Genty 2018 |
10.1038/s41467-018-07355-y |
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Machine learning analysis of optical rogue solitons in supercontinuum generation L. Salmela; C. Lapre; J.M. Dudley; G. Genty 2020 |
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Machine learning analysis of optical rogue solitons in supercontinuum generation L. Salmela; C. Lapre; J.M. Dudley; G. Genty 2020 |
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Machine learning analysis of rogue solitons in supercontinuum generation L. Salmela; C. Lapre; J.M. Dudley; G. Genty 2020 |
10.1038/s41598-020-66308-y |
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Machine learning and applications in ultrafast photonics G. Genty; L. Salmela; J.M. Dudley; D. Brunner; A. Kokhanovskiy; S. Kobtsev; S.K. Turitsyn Submitted |
10.1038/s41566-020-00716-4, Early Access Date = {NOV 2020 |
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Machine learning and applications in ultrafast photonics G. Genty; L. Salmela; J.M. Dudley; D. Brunner; A. Kokhanovskiy; S. Kobtsev; S.K. Turitsyn 2021 |
10.1038/s41566-020-00716-4 |