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Retrieved Entries: 55

2023

  1. R. Austin McEver, Bowen Zhang, Connor Levenson, A S M Iftekhar & B. S. Manjunath,
    “Context-Driven Detection of Invertebrate Species in Deep-Sea Video”,
    nt J Comput Vis, vol. 131, pp. 1367–1388, Jul. 2023.
    [abstract] [PDF] [BibTex]
    Abstract preview: Each year, underwater remotely operated vehicles (ROVs) collect thousands of hours of video of unexplored ocean habitats revealing a plethora of information regarding biodiversity on Earth. However, f ... more

2021

  1. Cadieu , et al.,
    “Video clip selector for medical imaging and diagnosis”,
    Nov. 2021.
    [abstract] [PDF] [BibTex]
  2. Akash Gupta, Padmaja Jonnalagedda, Bir Bhanu, Amit K. Roy-Chowdhury,
    “Ada-VSR: Adaptive Video Super-Resolution with Meta-Learning”,
    Sep. 2021.
    [abstract] [PDF] [BibTex]
    Abstract preview: Most of the existing works in supervised spatio-temporal video super-resolution (STVSR) heavily rely on a large-scale external dataset consisting of paired low-resolution low-frame rate (LR-LFR)and hi ... more
  3. S Shailja, Angela Zhang, BS Manjunath,
    “A computational geometry approach for modeling neuronal fiber pathways”,
    Sep. 2021.
    [abstract] [PDF] [BibTex]
    Abstract preview: We propose a novel and efficient algorithm to model high-level topological structures of neuronal fibers. Tractography constructs complex neuronal fibers in three dimensions that exhibit the geometry ... more
  4. 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,
    “ICLR 2021 Challenge for Computational Geometry & Topology: Design and Results”,
    Aug. 2021.
    [abstract] [PDF] [BibTex]
    Abstract preview: The motivation behind the organization of the ICLR 2021 Computational Geometry and Topology challenge was two-folds: first, to push forward the fields of computational differential geometry and topolo ... more
  5. S Shailja, Jiaxiang Jiang, BS Manjunath,
    “Semi supervised segmentation and graph-based tracking of 3D nuclei in time-lapse microscopy”,
    Apr. 2021.
    [abstract] [PDF] [BibTex]
    Abstract preview: We propose a novel weakly supervised method to improve the boundary of the 3D segmented nuclei utilizing an over-segmented image. This is motivated by the observation that current state-of-the-art dee ... more
  6. M.P. Echlin, A.T. Polonsky, J. Lamb, R. Geurts, S.J. Randolph, A. Botman, and T.M. Pollock,
    “Recent Developments in Femtosecond Laser-Enabled TriBeam Systems”,
    2021.
    [abstract] [PDF] [BibTex]
    Abstract preview: Streams of multimodal three-dimensional (3D) and four-dimensional (4D) data are revolutionizing our ability to design and predict the behavior of a broad array of advanced materials systems. Over the ... more
  7. Devendra K. Jangid, Neal R. Brodnik, Michael G. Goebel, Amil Khan, SaiSidharth Majeti, McLean P. Echlin, Tresa M. Pollock, Sam Daly, B.S. Manjunath,
    “EBSD-SR: Super-Resolution for Electron Backscatter Diffraction Maps using Physics-Guided Neural Networks”,
    2021.
    [abstract] [BibTex]
  8. Devendra K. Jangid, Neal R. Brodnik, Amil Khan, Michael G. Goebel, McLean P. Echlin, Tresa M. Pollock, Sam Daly, B. S. Manjunath,
    “3D Grain Shape Generation in Polycrystals Using Generative Adversarial Networks”,
    2021.
    [abstract] [BibTex]
  9. Satish Kumar, ASM Iftekhar, Michael Goebel, Tom Bullock, Mary H MacLean, Michael B Miller, Tyler Santander, Barry Giesbrecht, Scott T Grafton, BS Manjunath,
    “StressNet: detecting stress in thermal videos”,
    2021.
    [abstract] [PDF] [BibTex]
    Abstract preview: Precise measurement of physiological signals is critical for the effective monitoring of human vital signs. Recent developments in computer vision have demonstrated that signals such as pulse rate and ... more

2020

  1. Claire Donnat, Nina Miolane, Freddy Bunbury, Jack Kreindler,
    “A Bayesian Hierarchical Network for Combining Heterogeneous Data Sources in Medical Diagnoses”,
    Proceedings of Machine Learning Research, Nov. 2020.
    [abstract] [PDF] [BibTex]
    Abstract preview: The increasingly widespread use of affordable, yet often less reliable medical data and diagnostic tools poses a new challenge for the field of ComputerAided Diagnosis: how can we combine multiple ... more
  2. Joel Kowalewski, Anandasankar Ray,
    “Predicting Human Olfactory Perception from Activities of Odorant Receptors”,
    Aug. 2020.
    [abstract] [PDF] [BibTex]
    Abstract preview: Odor perception in humans is initiated by activation of odorant receptors (ORs) in the nose. However, the ORs linked to specific olfactory percepts are unknown, unlike in vision or taste where recepto ... more
  3. Akash Gupta, Abhishek Aich, Amit K. Roy-Chowdhury,
    “ALANET: Adaptive Latent Attention Network for Joint Video Deblurring and Interpolation”,
    Aug. 2020.
    [abstract] [PDF] [BibTex]
    Abstract preview: Existing works address the problem of generating high frame-rate sharp videos by separately learning the frame deblurring and frame interpolation modules. Most of these approaches have a strong prior ... more
  4. Satish Kumar, Carlos Torres, Oytun Ulutan, Alana Ayasse, Dar Roberts, B.S. Manjunath,
    “Deep Remote Sensing Methods for Methane Detection in Overhead Hyperspectral Imagery”,
    May. 2020.
    [abstract] [PDF] [BibTex]
    Abstract preview: Effective analysis of hyperspectral imagery is essential for gathering fast and actionable information of large areas affected by atmospheric and green house gases. Existing methods, which process hyp ... more
  5. McLean P. Echlin, Timothy L. Burnett, Andrew T. Polonsky, Tresa M. Pollock, Philip J. Withers,
    “Serial sectioning in the SEM for three dimensional materials science”,
    Apr. 2020.
    [abstract] [PDF] [BibTex]
    Abstract preview: Here we explore the range of serial sectioning techniques that have evolved over the past decade, providing a comprehensive toolkit for capturing rich 3D microstructures, chemistries and crystallograp ... more
  6. Gupta, Akash and Aich, Abhishek and Rodriguez, Kevin and Reddy, G. Venugopala and Roy-Chowdhury, Amit K.,
    “ Deep Quantized Representation For Enhanced Reconstruction”,
    Apr. 2020.
    [abstract] [PDF] [BibTex]
    Abstract preview: While machine learning approaches have shown remarkable performance in biomedical image analysis, most of these methods rely on high-quality and accurate imaging data. However, collecting such data re ... more
  7. Oytun Ulutan, A S M Iftekhar, B.S. Manjunath,
    “VSGNet: Spatial Attention Network for Detecting Human Object Interactions Using Graph Convolutions.”,
    Mar. 2020.
    [abstract] [PDF] [BibTex]
    Abstract preview: Comprehensive visual understanding requires detection frameworks that can effectively learn and utilize object interactions while analyzing objects individually. This is the main objective in Human-Ob ... more
  8. Po-Yu Kao, Shailja Shailja, Jiaxiang Jiang, Angela Zhang, Amil Khan, Jefferson W Chen, BS Manjunath,
    “Improving patch-based convolutional neural networks for MRI brain tumor segmentation by leveraging location information”,
    Jan. 2020.
    [abstract] [PDF] [BibTex]
    Abstract preview: The manual brain tumor annotation process is time consuming and resource consuming, therefore, an automated and accurate brain tumor segmentation tool is greatly in demand. In this paper, we introduce ... more

2019

  1. Nina Miolane, Susan Holmes,
    “Learning Weighted Submanifolds with Variational Autoencoders and Riemannian Variational Autoencoders”,
    Nov. 2019.
    [abstract] [PDF] [BibTex]
    Abstract preview: Manifold-valued data naturally arises in medical imaging. In cognitive neuroscience, for instance, brain connectomes base the analysis of coactivation patterns between different brain regions on the a ... more
  2. Nina Miolane, Frédéric Poitevin, Yee-Ting Li, Susan Holmes,
    “Estimation of Orientation and Camera Parameters from Cryo-Electron Microscopy Images with Variational Autoencoders and Generative Adversarial Networks”,
    Nov. 2019.
    [abstract] [PDF] [BibTex]
    Abstract preview: Cryo-electron microscopy (cryo-EM) is capable of producing reconstructed 3D images of biomolecules at near-atomic resolution. As such, it represents one of the most promising imaging techniques in str ... more
  3. Po-Yu Kao, Jeffereson W Chen, BS Manjunath,
    “Predicting clinical outcome of stroke patients with tractographic feature”,
    Oct. 2019.
    [abstract] [PDF] [BibTex]
    Abstract preview: The volume of stroke lesion is the gold standard for predicting the clinical outcome of stroke patients. However, the presence of stroke lesion may cause neural disruptions to other brain regions, and ... more
  4. Po-Yu Kao, Angela Zhang, Michael Goebel, Jefferson W Chen, B S Manjunath,
    “Predicting Fluid Intelligence of Children using T1-weighted MR Images and a StackNet”,
    Oct. 2019.
    [abstract] [PDF] [BibTex]
    Abstract preview: In this work, we utilize T1-weighted MR images and StackNet to predict fluid intelligence in adolescents. Our framework includes feature extraction, feature normalization, feature denoising, feature s ... more
  5. Jiaxiang Jiang, Po-Yu Kao, Samuel A. Belteton, Daniel B. Szymanski, B.S. Manjunath,
    “Accurate 3D cell segmentation using deep features and CRF refinement”,
    Aug. 2019.
    [abstract] [PDF] [BibTex]
    Abstract preview: We consider the problem of accurately identifying cell boundaries and labeling individual cells in confocal microscopy images, specifically, 3D image stacks of cells with tagged cell membranes. Precis ... more
  6. Henry M. Page, Rachel D. Simons, Susan F. Zaleski, Robert J. Miller, Jenifer E. Dugan, Donna M. Schroeder, Brandon Doheny, Jeffrey H. R. Goddard,
    “Distribution and potential larval connectivity of the non-native Watersipora (Bryozoa) among harbors, offshore oil platforms, and natural reefs ”,
    Jun. 2019.
    [abstract] [PDF] [BibTex]
    Abstract preview: Non-native marine species thrive on artificial habitat. Expanding coastal infrastructure has led to concerns that increasing artificial habitat will facilitate the spread of nonnative species overall ... more
  7. Po-Yu Kao, Jefferson W Chen, BS Manjunath,
    “Improving 3d u-net for brain tumor segmentation by utilizing lesion prior”,
    Jun. 2019.
    [abstract] [PDF] [BibTex]
    Abstract preview: We propose a novel, simple and effective method to integrate lesion prior and a 3D U-Net for improving brain tumor segmentation. First, we utilize the ground-truth brain tumor lesions from a group of ... more
  8. Matthew J Kourakis, Cezar Borba, Angela Zhang, Erin Newman-Smith, Priscilla Salas, B Manjunath, William C Smith,
    “Parallel visual circuitry in a basal chordate”,
    Apr. 2019.
    [abstract] [PDF] [BibTex]
    Abstract preview: A common CNS architecture is observed in all chordates, from vertebrates to basal chordates like the ascidian Ciona. Ciona stands apart among chordates in having a complete larval connectome. Starting ... more
  9. Andrew T. Polonsky, Christian A. Lang, Kristian G. Kvilekval, Marat I. Latypov, McLean P. Echlin, B. S. Manjunath, & Tresa M. Pollock ,
    “Three-dimensional Analysis and Reconstruction of Additively Manufactured Materials in the Cloud-Based BisQue Infrastructure”,
    Mar. 2019.
    [abstract] [PDF] [BibTex]
    Abstract preview: A microstructure analytics and 3D reconstruction software package, DREAM.3D, was integrated as a module into a cloud-based platform, BisQue. Parallelization of DREAM.3D module executions and the abili ... more
  10. 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,
    “BisQue for 3D Materials Science in the Cloud: Microstructure–Property Linkages”,
    Mar. 2019.
    [abstract] [PDF] [BibTex]
    Abstract preview: Accelerating the design and development of new advanced materials is one of the priorities in modern materials science. These efforts are critically dependent on the development of comprehensive mater ... more
  11. Johan Mathe, Nina Miolane, Nicolas Sebastien, Jeremie Lequeux,
    “PVNet: A LRCN Architecture for Spatio-Temporal Photovoltaic PowerForecasting from Numerical Weather Prediction”,
    Feb. 2019.
    [abstract] [PDF] [BibTex]
    Abstract preview: Photovoltaic (PV) power generation has emerged as one of the lead renewable energy sources. Yet, its production is characterized by high uncertainty, being dependent on weather conditions like solar i ... more
  12. Angela Zhang, Po-Yu Kao, Ronald Sahyouni, Ashutosh Shelat, Jefferson Chen, BS Manjunath,
    “Automated segmentation of ct scans for normal pressure hydrocephalus”,
    Jan. 2019.
    [abstract] [PDF] [BibTex]
    Abstract preview: Normal Pressure Hydrocephalus (NPH) is one of the few reversible forms of dementia, Due to their low cost and versatility, Computed Tomography (CT) scans have long been used as an aid to help diagnose ... more

2018

  1. Oytun Ulutan, Swati Rallapalli, Mudhakar Srivatsa, Carlos Torres, B.S. Manjunath,
    “Actor Conditioned Attention Maps for Video Action Detection.”,
    Dec. 2018.
    [abstract] [PDF] [BibTex]
    Abstract preview: While observing complex events with multiple actors, humans do not assess each actor separately, but infer from the context. The surrounding context provides essential information for understanding ac ... more
  2. Marat I. Latypov, Markus Kühbach, Irene J.Beyerlein, Jean-CharlesStinville, Laszlo S.Toth, Tresa M.Pollock, Surya R.Kalidindi,
    “Application of chord length distributions and principal component analysis for quantification and representation of diverse polycrystalline microstructures.”,
    Nov. 2018.
    [abstract] [PDF] [BibTex]
    Abstract preview: Quantification of mesoscale microstructures of polycrystalline materials is important for a range of practical tasks of materials design and development. The current protocols of quantifying grain siz ... more
  3. B.S. Manjunath,
    “Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge”,
    Nov. 2018.
    [abstract] [PDF] [BibTex]
    Abstract preview: Gliomas are the most common primary brain malignancies, with different degrees of aggressiveness, variable prognosis and various heterogeneous histologic sub-regions, i.e., peritumoral edematous/invad ... more
  4. Carlos Torres, Jeffrey C Fried, BS Manjunath,
    “Healthcare Event and Activity Logging”,
    Sep. 2018.
    [abstract] [PDF] [BibTex]
    Abstract preview: The health of patients in the intensive care unit (ICU) can change frequently and inexplicably. Crucial events and activities responsible for these changes often go unnoticed. This paper introduces he ... more
  5. Po-Yu Kao, Thuyen Ngo, Angela Zhang, Jefferson W Chen, BS Manjunath,
    “Brain tumor segmentation and tractographic feature extraction from structural mr images for overall survival prediction”,
    Sep. 2018.
    [abstract] [PDF] [BibTex]
    Abstract preview: This paper introduces a novel methodology to integrate human brain connectomics and parcellation for brain tumor segmentation and survival prediction. For segmentation, we utilize an existing brain pa ... more
  6. Nina Miolane, Susan Holmes, Xavier Pennec,
    “Topologically Constrained Template Estimation via Morse--Smale Complexes Controls Its Statistical Consistency ”,
    Jun. 2018.
    [abstract] [PDF] [BibTex]
    Abstract preview: In most neuroimaging studies, one builds a brain template that serves as a reference for normalizing the measurements of each individual subject into a common space. Such a template should be represen ... more
  7. Benjamin Hou, Nina Miolane, Bishesh Khanal, Matthew C.H. Lee, Amir Alansary, Steven McDonagh, Jo V. Hajnal, Daniel Rueckert, Ben Glocker, Bernhard Kainz,
    “Computing CNN Loss and Gradients for Pose Estimation with Riemannian Geometry”,
    May. 2018.
    [abstract] [PDF] [BibTex]
    Abstract preview: Pose estimation, i.e. predicting a 3D rigid transformation with respect to a fixed co-ordinate frame in, SE(3), is an omnipresent problem in medical image analysis with applications such as: image rig ... more
  8. Carlos Torres, Jeffrey C Fried, Kenneth Rose, Bangalore S Manjunath,
    “A multiview multimodal system for monitoring patient sleep”,
    Apr. 2018.
    [abstract] [PDF] [BibTex]
    Abstract preview: Clinical observations indicate that during critical care at the hospitals, a patient's sleep positioning and motion have a significant effect on recovery rate. Unfortunately, there is no formal m ... more
  9. Dimitrios Trigkakis, Sinisa Todorovic, Justin Preece, Austin Meier, Justin Elser, Pankaj Jaiswal, Kris Kvilekval, Dmitry Fedorov, BS Manjunath,
    “Planteome & BisQue: Automating image annotation with ontologies using deep-learning networks”,
    2018.
    [abstract] [PDF] [BibTex]
    Abstract preview: The field of computer vision has recently experienced tremendous progress due to advances in deep learning. This development holds particular promise in applications for plant research, due to a si ... more

2017

  1. Thuyen Ngo, BS. Manjunath,
    “Saccade Gaze Prediction using a Recurrent Neural Network”,
    Sep. 2017.
    [abstract] [PDF] [BibTex]
    Abstract preview: We present a model that generates close-to-human gaze sequences for a given image in the free viewing task. The proposed approach leverages recent advances in image recognition using convolutional neu ... more
  2. Carlos Torres, Kenneth Rose, Jeffrey C Fried, BS Manjunath,
    “Summarization of ICU Patient Motion from Multimodal Multiview Videos”,
    Jun. 2017.
    [abstract] [PDF] [BibTex]
    Abstract preview: Clinical observations indicate that during critical care at the hospitals, patients sleep positioning and motion affect recovery. Unfortunately, there is no formal medical protocol to record, quantify ... more
  3. 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,,
    “Detection and Localization of Image Forgeries using Resampling Features and Deep Learning”,
    2017.
    [abstract] [PDF] [BibTex]
    Abstract preview: Resampling is an important signature of manipulated images. In this paper, we propose two methods to detect and localize image manipulations based on a combination of resampling features and deep lear ... more
  4. D.V. Fedorov, K.G. Kvilekval, B.S. Manjunath, B. Doheny, S. Sampson, R.J. Miller,
    “Deep learning for all: managing and analyzing underwater and remote sensing imagery on the web using BisQue”,
    2017.
    [abstract] [PDF] [BibTex]
    Abstract preview: Logistical and financial limitations of underwater operations are inherent in marine science, including biodiversity observation. Imagery is a promising way to address these challenges, but the divers ... more

2016

  1. Diana L Delibaltov, Utkarsh Gaur, Jennifer Kim, Matthew Kourakis, Erin Newman-Smith, William Smith, Samuel A Belteton, Daniel B Szymanski, BS Manjunath,
    “CellECT: cell evolution capturing tool”,
    Dec. 2016.
    [abstract] [PDF] [BibTex]
    Abstract preview: Robust methods for the segmentation and analysis of cells in 3D time sequences (3D+t) are critical for quantitative cell biology. While many automated methods for segmentation perform very well, few g ... more
  2. Carlos Torres, Kenneth Rose, Jeffrey C. Fried, and B. S. Manjunath.,
    “Deep Eye-CU (DECU): Summarization of Patient Motion in the ICU.”,
    Springer, ECCV-ACVR, pp. 178--194, Amsterdam, The Netherlands, Nov. 2016.
    [abstract] [PDF] [BibTex]
    Abstract preview: Healthcare professionals speculate about the effects of poses and pose manipulation in healthcare. Anecdotal observations indicate that patient poses and motion affect recovery. Motion analysis using ... more
  3. Carlos Torres, Victor Fragoso, Scott D. Hammond, Jeffrey C. Fried, and B. S. Manjunath.,
    “Eye-CU: Sleep Pose Classification for Healthcare using Multimodal Multiview Data.”,
    IEEE Proceedings, pp. 1--9, Nov. 2016.
    [abstract] [PDF] [BibTex]
    Abstract preview: Manual analysis of body poses of bed-ridden patients requires staff to continuously track and record patient poses. Two limitations in the dissemination of pose-related therapies are scarce human reso ... more
  4. Po-Yu Kao, Eduardo Rojas, Jefferson W. Chen, Angela Zhang, B. S. Manjunath,
    “Unsupervised 3-D Feature Learning for Mild Traumatic Brain Injury”,
    Oct. 2016.
    [abstract] [PDF] [BibTex]
    Abstract preview: We present an unsupervised three-dimensional feature clustering algorithm to gather the mTOP2016 challenge data into 3 groups. We use the brain MR-T1, diffusion tensor fractional anisotropy, and diffu ... more
  5. Dmitry Fedorov, Robert J Miller, Kristian G Kvilekval, Brandon Doheny, Sarah Sampson, BS Manjunath,
    “BisQue: cloud-based system for management, annotation, visualization, analysis and data mining of underwater and remote sensing imagery”,
    Feb. 2016.
    [abstract] [PDF] [BibTex]
    Abstract preview: Logistical and financial limitations of underwater operations are inherent in marine science, including biodiversity observation. Imagery is a promising way to address these challenges, but the divers ... more
  6. Justin Preece, Justin Elser, Pankaj Jaiswal, Kristian Kvilekval, Dmitry Fedorov, BS Manjunath, Ryan Kitchen, Xu Xu, Dmitrios Trigkakis, Sinisa Todorovic, Seth Carbon,
    “Plant Image Segmentation and Annotation with Ontologies in BisQue.”,
    2016.
    [abstract] [PDF] [BibTex]
    Abstract preview: The field of computer vision has experienced much progress in the last two decades. Image analysis of photography  and  video  has  moved  out  of ... more

2015

  1. Carlos Torres, Scott D. Hammond, Jeffrey C. Fried, and B. S. Manjunath. ,
    “Sleep Pose Recognition in an ICU From Multimodal Data and Environmental Feedback.”,
    Springer, pp. 56--66, Copenhagen, Denmark, Nov. 2015.
    [abstract] [PDF] [BibTex]
    Abstract preview: Clinical evidence suggests that sleep pose analysis can shed light onto patient recovery rates and responses to therapies. In this work, we introduce a formulation that combines features from multimod ... more
  2. Nina Miolane, Xavier Pennec,
    “A survey of mathematical structures for extending 2D neurogeometry to 3D image processing ”,
    Sep. 2015.
    [abstract] [PDF] [BibTex]
    Abstract preview: In the era of big data, one may apply generic learning algorithms for medical computer vision. But such algorithms are often "black-boxes" and as such, hard to interpret. We still need new c ... more
  3. Nina Miolane, Xavier Pennec,
    “Computing Bi-Invariant Pseudo-Metrics on Lie Groups for Consistent Statistics ”,
    Jun. 2015.
    [abstract] [PDF] [BibTex]
    Abstract preview: In Computational Anatomy, organ’s shapes are often modelled as deformations of a reference shape, i.e. as elements of a Lie group. To analyse the variability of the human anatomy in this framework, ... more

2014

  1. Nina Miolane, Xavier Pennec,
    “Statistics on Lie groups : a need to go beyond the pseudo-Riemannian framework ”,
    Dec. 2014.
    [abstract] [PDF] [BibTex]
    Abstract preview: Lie groups appear in many fields from Medical Imaging to Robotics. In Medical Imaging and particularly in Computational Anatomy, an organ's shape is often modeled as the deformation of a referenc ... more

2013

  1. Miller, Robert J.; Hocevar, John; Stone, Robert P.; Fedorov, Dmitry V.,
    “Structure-Forming Corals and Sponges and Their Use as Fish Habitat in Bering Sea Submarine Canyons”,
    PLoS ONE, vol. 7, no. 3, Mar. 2013.
    [abstract] [PDF] [BibTex]
    Abstract preview: Continental margins are dynamic, heterogeneous settings that can include canyons, seamounts, and banks. Two of the largest canyons in the world, Zhemchug and Pribilof, cut into the edge of the contine ... more
  2. 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,
    “The iPlant collaborative: cyberinfrastructure for plant biology”,
    Frontiers in plant science, vol. 2, Jul. 2013.
    [abstract] [PDF] [BibTex]
    Abstract preview: The iPlant Collaborative (iPlant) is a United States National Science Foundation (NSF) funded project that aims to create an innovative, comprehensive, and foundational cyberinfrastructure in support ... more