• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 32 matches

• 2021
• 
  Aleksei Gonnochenko, Aleksandr Semochkin, Dmitry E. Egorov, Dmitrii Statovoy, Seyedhassan Zabihifar, Aleksey Postnikov, Elena Seliverstova, Ali Zaidi, Jayson Stemmler, Kevin Limkrailassiri:
  Coinbot: Intelligent Robotic Coin Bag Manipulation Using Artificial Brain. ICARA 2021: 67-74
• 
  Joseph N. Stember, Hrithwik Shalu:
  Deep reinforcement learning-based image classification achieves perfect testing set accuracy for MRI brain tumors with a training set of only 30 images. CoRR abs/2102.02895 (2021)
• 2020
• 
  Wlodzislaw Duch, Dariusz Mikolajewski:
  Brain stem - from general view to computational model based on switchboard rules of operation. Bio Algorithms Med Syst. 16(1) (2020)
• 
  Maryam Butt, Golshah Naghdy, Fazel Naghdy, Geoffrey Murray, Haiping Du:
  Assessment of Neuroplasticity Using EEG Signal in Rehabilitation of Brain Stem Stroke Patients. CCECE 2020: 1-4
• 
  Joseph N. Stember, Hrithwik Shalu:
  Deep reinforcement learning to detect brain lesions on MRI: a proof-of-concept application of reinforcement learning to medical images. CoRR abs/2008.02708 (2020)
• 
  Joseph N. Stember, Hrithwik Shalu:
  Reinforcement learning using Deep Q Networks and Q learning accurately localizes brain tumors on MRI with very small training sets. CoRR abs/2010.10763 (2020)
• 
  Joseph N. Stember, Hrithwik Shalu:
  Unsupervised deep clustering and reinforcement learning can accurately segment MRI brain tumors with very small training sets. CoRR abs/2012.13321 (2020)
• 2018
• 
  Dariusz Mikolajewski, Wlodzislaw Duch:
  Brain stem modeling at a system level - chances and limitations. Bio Algorithms Med Syst. 14(2) (2018)
• 
  Olga Anokhina, Vitaly Fralenko, Mikhail Khachumov, Vyacheslav Khachumov, Maria Shustova:
  Singling out ischemic lesion zones and transplanted mesenchymal stem cells in the rat brain MRI. BIBM 2018: 1445-1451
• 2016
• 
  Reza Amanipour, Robert D. Frisina, Samantha A. Cresoe, Teresa J. Parsons, Xiaoxia Zhu, Cesario V. Borlongan, Joseph P. Walton:
  Impact of mild traumatic brain injury on auditory brain stem dysfunction in mouse model. EMBC 2016: 1854-1857
• 2014
• 
  Hiroyuki Mino:
  The Effects of Spontaneous Random Activity on Information Transmission in an Auditory Brain Stem Neuron Model. Entropy 16(12): 6654-6666 (2014)
• 2013
• 
  Michael Lamy, Daniel Baumgartner, Narayan Yoganandan, Brian D. Stemper, Rémy Willinger:
  Experimentally validated three-dimensional finite element model of the rat for mild traumatic brain injury. Medical Biol. Eng. Comput. 51(3): 353-365 (2013)
• 2012
• 
  Ivayla Apostolova, Andreas Wunder, Ulrich Dirnagl, Roger Michel, Nina Stemmer, Mathias Lukas, Thorsten Derlin, Betina Gregor-Mamoudou, Jürgen Goldschmidt, Winfried Brenner, Ralph Buchert:
  Brain perfusion SPECT in the mouse: Normal pattern according to gender and age. NeuroImage 63(4): 1807-1817 (2012)
• 
  Greetje Vande Velde, Janaki Raman Rangarajan, Ruth Vreys, Caroline Guglielmetti, Tom Dresselaers, Marleen Verhoye, Annemie van der Linden, Zeger Debyser, Veerle Baekelandt, Frederik Maes, Uwe Himmelreich:
  Quantitative evaluation of MRI-based tracking of ferritin-labeled endogenous neural stem cell progeny in rodent brain. NeuroImage 62(1): 367-380 (2012)
• 2011
• 
  Nathan Lowry, Rami Mangoubi, Mukund Desai, Youssef M. Marzouk, Paul Sammak:
  A unified approach to expectation-maximization and level set segmentation applied to stem cell and brain MRI images. ISBI 2011: 1446-1450
• 2010
• 
  Carlo Giussani, Andrew V. Poliakov, Raymond T. Ferri, Lauren L. Plawner, Samuel R. Browd, Dennis W. W. Shaw, Tanya Z. Filardi, Corrine Hoeppner, J. Russell Geyer, James M. Olson, James G. Douglas, Elisabeth H. Villavicencio, Richard G. Ellenbogen, Jeffrey G. Ojemann:
  DTI fiber tracking to differentiate demyelinating diseases from diffuse brain stem glioma. NeuroImage 52(1): 217-223 (2010)
• 
  Jian-sheng Li, Jing-xia Liu, Jin-liang Hu, Jian-jing Shen:
  Comprehensive Evaluation of Effects of Naomaitong and Rhubarb Aglycone Combined with Bone Mesenchymal Stem Cells Transplantation on Brain in Rats with Cerebral Ischemia Based on Analytic Hierarchy Process. ICIC (3) 2010: 130-137
• 2009
• 
  Jian Yang, Jianxin Liu, Gang Niu, Kevin C. Chan, Rong Wang, Yong Liu, Ed X. Wu:
  In vivo MRI of endogenous stem/progenitor cell migration from subventricular zone in normal and injured developing brains. NeuroImage 48(2): 319-328 (2009)
• 
  Gavrill Tsechpenakis, Jaime Eugenin, John G. Nicholls, Kenneth J. Muller:
  Analysis of Nerve Activity and Optical Signals from Mouse Brain Stem to Identify Cells Generating Respiratory Rhythms. ISBI 2009: 1251-1254
• 2008
• 
  Jose N. Fayad, Steven R. Otto, Robert V. Shannon, Derald E. Brackmann:
  Cochlear and Brainstem Auditory Prostheses "Neural Interface for Hearing Restoration: Cochlear and Brain Stem Implants". Proc. IEEE 96(7): 1085-1095 (2008)
• 
  Josef Schreiber, Eduard Sojka, Lacezar Licev, Petra Sknourilová, David Skoloudík, Jan Gaura:
  A New Method for Detection of Brain Stem in Transcranial Ultrasound Images. BIOSIGNALS (2) 2008: 478-483
• 2006
• 
  Ángel Gutiérrez, Alfredo Somolinos:
  Preprocessing of brain stem auditory evoked potentials for diagnosing multiple sclerosis. ACST 2006: 196-201
• 2005
• 
  Mark D. Humphries, Kevin N. Gurney, Tony J. Prescott:
  Is There an Integrative Center in the Vertebrate Brain-Stem? A Robotic Evaluation of a Model of the Reticular Formation Viewed as an Action Selection Device. Adapt. Behav. 13(2): 97-113 (2005)
• 
  S. Magnitsky, D. J. Watson, R. M. Walton, S. Pickup, J. W. M. Bulte, J. H. Wolfe, Harish Poptani:
  In vivo and ex vivo MRI detection of localized and disseminated neural stem cell grafts in the mouse brain. NeuroImage 26(3): 744-754 (2005)
• 
  Albrecht Stroh, Cornelius Faber, Thomas Neuberger, Peer Lorenz, Katharina Sieland, Peter M. Jakob, Andrew Webb, Herbert Pilgrimm, Ralf Schober, Elena E. Pohl, Claus Zimmer:
  In vivo detection limits of magnetically labeled embryonic stem cells in the rat brain using high-field (17.6 T) magnetic resonance imaging. NeuroImage 24(3): 635-645 (2005)
• 
  Yung-fu Chen, You-Yun Lee, Min-Wei Huang, Yi-Chun Du, Tainsong Chen:
  Analysis of Decomposed Saccadic Pulses and Steps by Independent Component Analysis for Patients with Brain Stem Lesions. METMBS 2005: 136-140
• 2004
• 
  Dmitry O. Gorodnichy:
  Towards Automatic Retrieval of Blink-Based Lexicon for Persons Suffered from Brain-Stem Injury using Video Cameras. CVPR Workshops 2004: 68
• 2000
• 
  Hugo Guterman, Youval Nehmadi, Andrei Chistyakov, Jean Soustiel, Hava Hafner, Moshe Feinsod:
  Classification of brain-stem trigeminal evoked potentials in multiple sclerosis, minor head injuries and post-concussion syndrome pathologies by similarity measurements. Int. J. Medical Informatics 60(3): 303-318 (2000)
• 1998
• 
  Witali L. Dunin-Barkowski, John M. Orem, Donald C. Wunsch:
  Detection of Influence of Brain-Stem Neurons and Intra-Cranial Field Potentials on the Diaphragm Activity. CBMS 1998: 264-269
• 1996
• 
  Antonio Glaría-Bengoechea, Carlos Arancibia-Bórquez:
  Neural network techniques for a physiological rooted analysis of auditory brain stem average evoked responses (ABSR). ICNN 1996: 800-803

skipping 2 more matches