Vijay Sadashivaiah

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Andrew E. JaffeVP, Head of Data Sciences, Neumora TherapeuticsEmail verificata su neumoratx.com
Thomas M. HydeChief Operating Officer, Lieber Institute for Brain DevelopmentEmail verificata su libd.org
Kristen MaynardInvestigator, Lieber Institute for Brain DevelopmentEmail verificata su libd.org
Madhavi TippaniLieber Institute for Brain DevelopmentEmail verificata su libd.org
Sridevi SarmaJohns Hopkins UniversityEmail verificata su jhu.edu
Keri MartinowichSenior Investigator, Lieber Institute & Professor, Johns Hopkins School of MedicineEmail verificata su libd.org
Leonardo Collado-TorresInvestigator at LIBD + Asst. Prof., Department of Biostatistics, JHBSPHEmail verificata su libd.org
Brianna K. BarryNeuroscientistEmail verificata su jhmi.edu
Stephanie C. HicksAssociate Professor, Johns Hopkins Bloomberg School of Public HealthEmail verificata su jhu.edu
Louise Huuki-MyersStaff Scientist at Lieber Institute for Brain DevelopmentEmail verificata su libd.org
Kelsey D. MontgomeryResearch Associate - Lieber Institute for Brain DevelopmentEmail verificata su go.rmc.edu
Dana Hancock, PhDRTI InternationalEmail verificata su rti.org
William Stanley AndersonAssociate Professor of Neurosurgery, Johns Hopkins School of MedicineEmail verificata su jhmi.edu
yun guanJohns Hopkins University, Professor, ACCM, Neurosurgery,Email verificata su jhmi.edu
Pierre SacréUniversity of LiègeEmail verificata su uliege.be
Carl PetersenEcole Polytechnique Fédérale de Lausanne (EPFL)Email verificata su epfl.ch
Daniel R. WeinbergerLieber Institute for Brain DevelopmentEmail verificata su libd.org
Ramesh RaskarAssociate Professor, MIT Media LabEmail verificata su mit.edu
Tristan SwedishMIT Media LabEmail verificata su mit.edu
Thomas GurrySchool of Pharmaceutical Sciences, University of GenevaEmail verificata su unige.ch

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Vijay Sadashivaiah

Ph.D. Candidate in Computer Science at Rensselaer Polytechnic Institute

Email verificata su rpi.edu - Home page

Machine Learning Deep Learning Explainable AI


Titolo Ordina per citazioni Ordina per anno Ordina per titolo	Citata da Citata da	Anno
Single-nucleus transcriptome analysis reveals cell-type-specific molecular signatures across reward circuitry in the human brain MN Tran, KR Maynard, A Spangler, LA Huuki, KD Montgomery, ... Neuron 109 (19), 3088-3103. e5, 2021	172	2021
Voltage-sensitive dye imaging of mouse neocortex during a whisker detection task A Kyriakatos, V Sadashivaiah, Y Zhang, A Motta, M Auffret, CCH Petersen Neurophotonics 4 (3), 031204-031204, 2017	37	2017
Mobile phone based mini-spectrometer for rapid screening of skin cancer A Das, T Swedish, A Wahi, M Moufarrej, M Noland, T Gurry, ... Next-Generation Spectroscopic Technologies VIII 9482, 122-126, 2015	27	2015
Improving Language Model Predictions via Prompts Enriched with Knowledge Graphs⋆ R Brate, MH Dang, F Hoppe, Y He, A Meroño-Peñuela, V Sadashivaiah DL4KG@ ISWC2022, 2022	24	2022
KCNH2-3.1 mediates aberrant complement activation and impaired hippocampal-medial prefrontal circuitry associated with working memory deficits M Ren, Z Hu, Q Chen, A Jaffe, Y Li, V Sadashivaiah, S Zhu, N Rajpurohit, ... Molecular psychiatry 25 (1), 206-229, 2020	19	2020
Using demographic and time series physiological features to classify sepsis in the intensive care unit K Gunnarsdottir, V Sadashivaiah, M Kerr, S Santaniello, SV Sarma 2016 38th annual international conference of the IEEE engineering in …, 2016	13	2016
Genome-wide meta-analyses reveal novel loci for verbal short-term memory and learning J Lahti, S Tuominen, Q Yang, G Pergola, S Ahmad, N Amin, NJ Armstrong, ... Molecular psychiatry 27 (11), 4419-4431, 2022	10	2022
SUFI: an automated approach to spectral unmixing of fluorescent multiplex images captured in mouse and post-mortem human brain tissues V Sadashivaiah, M Tippani, SC Page, SH Kwon, SV Bach, RA Bharadwaj, ... BMC neuroscience, 2023	7*	2023
Modeling the interactions between stimulation and physiologically induced APs in a mammalian nerve fiber: dependence on frequency and fiber diameter V Sadashivaiah, P Sacré, Y Guan, WS Anderson, SV Sarma Journal of computational neuroscience 45, 193-206, 2018	7	2018
Auto-transfer: Learning to route transferrable representations K Murugesan, V Sadashivaiah, R Luss, K Shanmugam, PY Chen, ... arXiv preprint arXiv:2202.01011, 2022	5	2022
Studying the interactions in a mammalian nerve fiber: a functional modeling approach V Sadashivaiah, P Sacré, Y Guan, WS Anderson, SV Sarma 2018 40th Annual International Conference of the IEEE Engineering in …, 2018	4	2018
Selective relay of afferent sensory-induced action potentials from peripheral nerve to brain and the effects of electrical stimulation V Sadashivaiah, P Sacré, Y Guan, WS Anderson, SV Sarma 2018 40th Annual International Conference of the IEEE Engineering in …, 2018	4	2018
Modeling electrical stimulation of mammalian nerve fibers: A mechanistic versus probabilistic approach V Sadashivaiah, P Sacré, Y Guan, WS Anderson, SV Sarma 2017 39th Annual International Conference of the IEEE Engineering in …, 2017	3	2017
Explaining Chest X-ray Pathology Models using Textual Concepts V Sadashivaiah, P Yan, JA Hendler arXiv preprint arXiv:2407.00557, 2024		2024
To Transfer or Not to Transfer: Suppressing Concepts from Source Representations V Sadashivaiah, K Murugesan, R Luss, PY Chen, C Sims, J Hendler, ... Transactions on Machine Learning Research, 2024		2024
T57IDENTIFYING CAUSAL GENETIC VARIANTS IN PSYCHIATRIC DISORDERS USING SUMMARY DATA BASED MENDELIAN RANDOMIZATION Q Chen, RE Straub, E Radulescu, V Sadashivaiah, G Pergola, JH Shin, ... European Neuropsychopharmacology 29, S245-S246, 2019		2019
TOWARDS PAIN CONTROL BY MODELING THE INTERACTIONS IN A MAMMALIAN NERVE FIBER V Sadashivaiah Johns Hopkins University, 2017		2017
Beyond Visual Augmentation: Investigating Bias in Multi-Modal Text Generation F Mohbat, V Sadashivaiah, K Murugesan, A Dhurandhar, R Luss, ...
Neural Circuits for goal-directed Sensorimotor Transformation V Sadashivaiah, A Kyriakatos, M Auffret, C Petersen

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