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Retrieved Entries: 55
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IDs Year Title and Authors Publisher Category
Node ID: 101
 		2023 “Context-Driven Detection of Invertebrate Species in Deep-Sea Video”, R. Austin McEver, Bowen Zhang, Connor Levenson, A S M Iftekhar & B. S. Manjunath nt J Comput Vis, vol. 131, pp. 1367–1388, Jul., 2023. Journal
Node ID: 79
 		2021 “Video clip selector for medical imaging and diagnosis”, Cadieu , et al. Nov., 2021.
Node ID: 89
 		2021 “Ada-VSR: Adaptive Video Super-Resolution with Meta-Learning”, Akash Gupta, Padmaja Jonnalagedda, Bir Bhanu, Amit K. Roy-Chowdhury Sep., 2021.
Node ID: 58
 		2021 “A computational geometry approach for modeling neuronal fiber pathways”, S Shailja, Angela Zhang, BS Manjunath Sep., 2021.
Node ID: 96
 		2021 “ICLR 2021 Challenge for Computational Geometry & Topology: Design and Results”, Nina Miolane, Matteo Caorsi, Umberto Lupo, Marius Guerard, Nicolas Guigui, Johan Mathe, Yann Cabanes, Wojciech Reise, Thomas Davies, António Leitã, Somesh Mohapatra, Saiteja Utpala, S. Shailja, Guoxi Liu, Federico Iuricich Aug., 2021.
Node ID: 57
 		2021 “Semi supervised segmentation and graph-based tracking of 3D nuclei in time-lapse microscopy”, S Shailja, Jiaxiang Jiang, BS Manjunath Apr., 2021.
Node ID: 93
 		2021 “Recent Developments in Femtosecond Laser-Enabled TriBeam Systems”, M.P. Echlin, A.T. Polonsky, J. Lamb, R. Geurts, S.J. Randolph, A. Botman, and T.M. Pollock 2021.
Node ID: 92
 		2021 “EBSD-SR: Super-Resolution for Electron Backscatter Diffraction Maps using Physics-Guided Neural Networks”, Devendra K. Jangid, Neal R. Brodnik, Michael G. Goebel, Amil Khan, SaiSidharth Majeti, McLean P. Echlin, Tresa M. Pollock, Sam Daly, B.S. Manjunath 2021.
Node ID: 91
 		2021 “3D Grain Shape Generation in Polycrystals Using Generative Adversarial Networks”, Devendra K. Jangid, Neal R. Brodnik, Amil Khan, Michael G. Goebel, McLean P. Echlin, Tresa M. Pollock, Sam Daly, B. S. Manjunath 2021.
Node ID: 56
 		2021 “StressNet: detecting stress in thermal videos”, Satish Kumar, ASM Iftekhar, Michael Goebel, Tom Bullock, Mary H MacLean, Michael B Miller, Tyler Santander, Barry Giesbrecht, Scott T Grafton, BS Manjunath 2021.
Node ID: 71
 		2020 “A Bayesian Hierarchical Network for Combining Heterogeneous Data Sources in Medical Diagnoses”, Claire Donnat, Nina Miolane, Freddy Bunbury, Jack Kreindler Proceedings of Machine Learning Research, Nov., 2020. Proceedings
Node ID: 86
 		2020 “Predicting Human Olfactory Perception from Activities of Odorant Receptors”, Joel Kowalewski, Anandasankar Ray Aug., 2020.
Node ID: 80
 		2020 “ALANET: Adaptive Latent Attention Network for Joint Video Deblurring and Interpolation”, Akash Gupta, Abhishek Aich, Amit K. Roy-Chowdhury Aug., 2020.
Node ID: 82
 		2020 “Deep Remote Sensing Methods for Methane Detection in Overhead Hyperspectral Imagery”, Satish Kumar, Carlos Torres, Oytun Ulutan, Alana Ayasse, Dar Roberts, B.S. Manjunath May., 2020.
Node ID: 94
 		2020 “Serial sectioning in the SEM for three dimensional materials science”, McLean P. Echlin, Timothy L. Burnett, Andrew T. Polonsky, Tresa M. Pollock, Philip J. Withers Apr., 2020.
Node ID: 81
 		2020 “ Deep Quantized Representation For Enhanced Reconstruction”, Gupta, Akash and Aich, Abhishek and Rodriguez, Kevin and Reddy, G. Venugopala and Roy-Chowdhury, Amit K. Apr., 2020.
Node ID: 83
 		2020 “VSGNet: Spatial Attention Network for Detecting Human Object Interactions Using Graph Convolutions.”, Oytun Ulutan, A S M Iftekhar, B.S. Manjunath Mar., 2020.
Node ID: 55
 		2020 “Improving patch-based convolutional neural networks for MRI brain tumor segmentation by leveraging location information”, Po-Yu Kao, Shailja Shailja, Jiaxiang Jiang, Angela Zhang, Amil Khan, Jefferson W Chen, BS Manjunath Jan., 2020.
Node ID: 78
 		2019 “Learning Weighted Submanifolds with Variational Autoencoders and Riemannian Variational Autoencoders”, Nina Miolane, Susan Holmes Nov., 2019.
Node ID: 77
 		2019 “Estimation of Orientation and Camera Parameters from Cryo-Electron Microscopy Images with Variational Autoencoders and Generative Adversarial Networks”, Nina Miolane, Frédéric Poitevin, Yee-Ting Li, Susan Holmes Nov., 2019.
Node ID: 54
 		2019 “Predicting clinical outcome of stroke patients with tractographic feature”, Po-Yu Kao, Jeffereson W Chen, BS Manjunath Oct., 2019.
Node ID: 53
 		2019 “Predicting Fluid Intelligence of Children using T1-weighted MR Images and a StackNet”, Po-Yu Kao, Angela Zhang, Michael Goebel, Jefferson W Chen, B S Manjunath Oct., 2019.
Node ID: 65
 		2019 “Accurate 3D cell segmentation using deep features and CRF refinement”, Jiaxiang Jiang, Po-Yu Kao, Samuel A. Belteton, Daniel B. Szymanski, B.S. Manjunath Aug., 2019.
Node ID: 87
 		2019 “Distribution and potential larval connectivity of the non-native Watersipora (Bryozoa) among harbors, offshore oil platforms, and natural reefs ”, Henry M. Page, Rachel D. Simons, Susan F. Zaleski, Robert J. Miller, Jenifer E. Dugan, Donna M. Schroeder, Brandon Doheny, Jeffrey H. R. Goddard Jun., 2019.
Node ID: 51
 		2019 “Improving 3d u-net for brain tumor segmentation by utilizing lesion prior”, Po-Yu Kao, Jefferson W Chen, BS Manjunath Jun., 2019.
Node ID: 50
 		2019 “Parallel visual circuitry in a basal chordate”, Matthew J Kourakis, Cezar Borba, Angela Zhang, Erin Newman-Smith, Priscilla Salas, B Manjunath, William C Smith Apr., 2019.
Node ID: 88
 		2019 “Three-dimensional Analysis and Reconstruction of Additively Manufactured Materials in the Cloud-Based BisQue Infrastructure”, Andrew T. Polonsky, Christian A. Lang, Kristian G. Kvilekval, Marat I. Latypov, McLean P. Echlin, B. S. Manjunath, & Tresa M. Pollock Mar., 2019.
Node ID: 85
 		2019 “BisQue for 3D Materials Science in the Cloud: Microstructure–Property Linkages”, Marat I. Latypov, Amil Khan. Christian A. Lang, Kris Kvilekval, Andrew T. Polonsky, McLean P. Echlin, Irene J. Beyerlein, B. S. Manjunath, Tresa M. Pollock Mar., 2019.
Node ID: 76
 		2019 “PVNet: A LRCN Architecture for Spatio-Temporal Photovoltaic PowerForecasting from Numerical Weather Prediction”, Johan Mathe, Nina Miolane, Nicolas Sebastien, Jeremie Lequeux Feb., 2019.
Node ID: 49
 		2019 “Automated segmentation of ct scans for normal pressure hydrocephalus”, Angela Zhang, Po-Yu Kao, Ronald Sahyouni, Ashutosh Shelat, Jefferson Chen, BS Manjunath Jan., 2019.
Node ID: 84
 		2018 “Actor Conditioned Attention Maps for Video Action Detection.”, Oytun Ulutan, Swati Rallapalli, Mudhakar Srivatsa, Carlos Torres, B.S. Manjunath Dec., 2018.
Node ID: 90
 		2018 “Application of chord length distributions and principal component analysis for quantification and representation of diverse polycrystalline microstructures.”, Marat I. Latypov, Markus Kühbach, Irene J.Beyerlein, Jean-CharlesStinville, Laszlo S.Toth, Tresa M.Pollock, Surya R.Kalidindi Nov., 2018.
Node ID: 60
 		2018 “Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge”, B.S. Manjunath Nov., 2018.
Node ID: 48
 		2018 “Healthcare Event and Activity Logging”, Carlos Torres, Jeffrey C Fried, BS Manjunath Sep., 2018.
Node ID: 47
 		2018 “Brain tumor segmentation and tractographic feature extraction from structural mr images for overall survival prediction”, Po-Yu Kao, Thuyen Ngo, Angela Zhang, Jefferson W Chen, BS Manjunath Sep., 2018.
Node ID: 72
 		2018 “Topologically Constrained Template Estimation via Morse--Smale Complexes Controls Its Statistical Consistency ”, Nina Miolane, Susan Holmes, Xavier Pennec Jun., 2018.
Node ID: 73
 		2018 “Computing CNN Loss and Gradients for Pose Estimation with Riemannian Geometry”, Benjamin Hou, Nina Miolane, Bishesh Khanal, Matthew C.H. Lee, Amir Alansary, Steven McDonagh, Jo V. Hajnal, Daniel Rueckert, Ben Glocker, Bernhard Kainz May., 2018.
Node ID: 59
 		2018 “A multiview multimodal system for monitoring patient sleep”, Carlos Torres, Jeffrey C Fried, Kenneth Rose, Bangalore S Manjunath Apr., 2018.
Node ID: 46
 		2018 “Planteome & BisQue: Automating image annotation with ontologies using deep-learning networks”, Dimitrios Trigkakis, Sinisa Todorovic, Justin Preece, Austin Meier, Justin Elser, Pankaj Jaiswal, Kris Kvilekval, Dmitry Fedorov, BS Manjunath 2018.
Node ID: 45
 		2017 “Saccade Gaze Prediction using a Recurrent Neural Network”, Thuyen Ngo, BS. Manjunath Sep., 2017.
Node ID: 44
 		2017 “Summarization of ICU Patient Motion from Multimodal Multiview Videos”, Carlos Torres, Kenneth Rose, Jeffrey C Fried, BS Manjunath Jun., 2017.
Node ID: 40
 		2017 “Detection and Localization of Image Forgeries using Resampling Features and Deep Learning”, D.V. Fedorov, K.G. Kvilekval, B.S. Manjunath, B. Doheny, S. Sampson, R.J. Miller D.V. Fedorov, K.G. Kvilekval, B.S. Manjunath, B. Doheny, S. Sampson, R.J. Miller, 2017.
Node ID: 38
 		2017 “Deep learning for all: managing and analyzing underwater and remote sensing imagery on the web using BisQue”, D.V. Fedorov, K.G. Kvilekval, B.S. Manjunath, B. Doheny, S. Sampson, R.J. Miller 2017.
Node ID: 42
 		2016 “CellECT: cell evolution capturing tool”, Diana L Delibaltov, Utkarsh Gaur, Jennifer Kim, Matthew Kourakis, Erin Newman-Smith, William Smith, Samuel A Belteton, Daniel B Szymanski, BS Manjunath Dec., 2016.
Node ID: 17
 		2016 “Deep Eye-CU (DECU): Summarization of Patient Motion in the ICU.”, Carlos Torres, Kenneth Rose, Jeffrey C. Fried, and B. S. Manjunath. Springer, ECCV-ACVR, pp. 178--194, Amsterdam, The Netherlands, Nov., 2016. Conference
Node ID: 16
 		2016 “Eye-CU: Sleep Pose Classification for Healthcare using Multimodal Multiview Data.”, Carlos Torres, Victor Fragoso, Scott D. Hammond, Jeffrey C. Fried, and B. S. Manjunath. IEEE Proceedings, pp. 1--9, Nov., 2016. Conference
Node ID: 41
 		2016 “Unsupervised 3-D Feature Learning for Mild Traumatic Brain Injury”, Po-Yu Kao, Eduardo Rojas, Jefferson W. Chen, Angela Zhang, B. S. Manjunath Oct., 2016.
Node ID: 39
 		2016 “BisQue: cloud-based system for management, annotation, visualization, analysis and data mining of underwater and remote sensing imagery”, Dmitry Fedorov, Robert J Miller, Kristian G Kvilekval, Brandon Doheny, Sarah Sampson, BS Manjunath Feb., 2016.
Node ID: 43
 		2016 “Plant Image Segmentation and Annotation with Ontologies in BisQue.”, Justin Preece, Justin Elser, Pankaj Jaiswal, Kristian Kvilekval, Dmitry Fedorov, BS Manjunath, Ryan Kitchen, Xu Xu, Dmitrios Trigkakis, Sinisa Todorovic, Seth Carbon 2016.
Node ID: 15
 		2015 “Sleep Pose Recognition in an ICU From Multimodal Data and Environmental Feedback.”, Carlos Torres, Scott D. Hammond, Jeffrey C. Fried, and B. S. Manjunath. Springer, pp. 56--66, Copenhagen, Denmark, Nov., 2015. Conference
Node ID: 67
 		2015 “A survey of mathematical structures for extending 2D neurogeometry to 3D image processing ”, Nina Miolane, Xavier Pennec Sep., 2015.
Node ID: 70
 		2015 “Computing Bi-Invariant Pseudo-Metrics on Lie Groups for Consistent Statistics ”, Nina Miolane, Xavier Pennec Jun., 2015.
Node ID: 68
 		2014 “Statistics on Lie groups : a need to go beyond the pseudo-Riemannian framework ”, Nina Miolane, Xavier Pennec Dec., 2014.
Node ID: 12
 		2013 “Structure-Forming Corals and Sponges and Their Use as Fish Habitat in Bering Sea Submarine Canyons”, Miller, Robert J.; Hocevar, John; Stone, Robert P.; Fedorov, Dmitry V. PLoS ONE, vol. 7, no. 3, Mar., 2013. Proceedings
Node ID: 14
 		2013 “The iPlant collaborative: cyberinfrastructure for plant biology”, Goff, Stephen A and Vaughn, Matthew and McKay, Sheldon and Lyons, Eric and Stapleton, Ann E and Gessler, Damian and Matasci, Naim and Wang, Liya and Hanlon, Matthew and Lenards, Andrew and others Frontiers in plant science, vol. 2, Jul., 2013. Journal