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Biorxiv : the Preprint Server for Biology|April 10, 2026
Cell-type-specific sustained value representations in the claustrumAhmad B Taha, Seong Yeol An, Su-Jeong Kim, et al.AJNR. American Journal of Neuroradiology|May 1, 1990
Diffusion-weighted MR imaging of acute stroke: correlation with T2-weighted and magnetic susceptibility-enhanced MR imaging in catsM E Moseley, J Kucharczyk, J Mintorovitch, et al.Retina (Philadelphia, Pa.)|October 5, 2010
Inject and extend dosing versus dosing as needed: a comparative retrospective study of ranibizumab in exudative age-related macular degenerationHassiba Oubraham, Salomon Y Cohen, Sepideh Samimi, et al.European Journal of Applied Physiology|August 31, 2010
Hormonal response to Taekwondo fighting simulation in elite adolescent athletesR Pilz-Burstein, Y Ashkenazi, Y Yaakobovitz, et al.Pediatric Radiology|January 1, 1992
MR imaging of breast hemangioma in female infantsY Miaux, F Lemarchand-Venencie, F Cyna-Gorse, et al.Journal of Immunology (Baltimore, Md. : 1950)|February 7, 2004
Caspase-3 is a component of Fas death-inducing signaling complex in lipid rafts and its activity is required for complete caspase-8 activation during Fas-mediated cell deathSalah M Aouad, Luchino Y Cohen, Ehsan Sharif-Askari, et al.Documenta Ophthalmologica. Advances in Ophthalmology|January 1, 1994
Focal visual evoked potentials generated by scanning laser ophthalmoscope in patients with age-related macular degeneration treated by perifoveal photocoagulationS Y Cohen, J F Le Gargasson, J E Guez, et al.Surgical and Radiologic Anatomy : SRA|January 1, 1991
MRI evaluation of the levator ani muscle: anatomic correlations and practical applicationsV Plattner, J Leborgne, Y Heloury, et al.Antimicrobial Agents and Chemotherapy|March 1, 1995
Use of normal C57BL/6 mice with established Mycobacterium avium infections as an alternative model for evaluation of antibiotic activityY Cohen, C Perronne, T Lazard, et al.Medrxiv : the Preprint Server for Health Sciences|August 30, 2023
An Interpretable Longitudinal Preeclampsia Risk Prediction Using Machine LearningBraden W Eberhard, Raphael Y Cohen, John Rigoni, et al.Pageof 69