Summa, D.[Donato]
* 2022: Characterization of Extremely Fresh Biomass Burning Aerosol by Means of Lidar Observations
Summa, M.D.[Maria Di]
* 2023: E-Navigation: A Distributed Decision Support System With Extended Reality for Bridge and Ashore Seafarers
Summer, G.
* 2005: Evaluation of a Method for Fusing LIDAR Data and Multispectral Images for Building Detection
Summerfield, S.
* 2004: Design and VLSI implementation of QMF banks
Summers Stay, D.
* 2016: Yin and Yang: Balancing and Answering Binary Visual Questions
* 2017: Computer Vision and Natural Language Processing: Recent Approaches in Multimedia and Robotics
* 2017: Making the V in VQA Matter: Elevating the Role of Image Understanding in Visual Question Answering
* 2018: Fused Reasoning under Uncertainty for Soldier Centric Human-Agent Decision Making
* 2019: Making the V in VQA Matter: Elevating the Role of Image Understanding in Visual Question Answering
Includes: Summers Stay, D. Summers-Stay, D. Summers-Stay, D.[Douglas] Summers-Stay, D.[Douglass]
Summers, A.[Ashley]
* 2022: Establishing the Capabilities of the Murchison Widefield Array as a Passive Radar for the Surveillance of Space
Summers, C.
* 2019: Improved Mixed-Example Data Augmentation
Summers, D.M.[David McCulloch]
* 2023: Spatial and Temporal Evaluation of Broad-Scale Yield Predictions Created from Yield Mapping Technology and Landsat Satellite Imagery in the Australian Mediterranean Dryland Cropping Region, A
Summers, G.[Gerard]
* 2021: Scalable, Supervised Classification of Seabed Sediment Waves Using an Object-Based Image Analysis Approach, A
* 2022: Characterisation of Benthic Currents from Seabed Bathymetry: An Object-Based Image Analysis of Cold-Water Coral Mounds, A
Summers, I.R.
* 1994: Generalized Multiresolution Analysis of Magnetic-Resonance Images
Summers, J.
* 1986: Computing Range with an Active Camera System
* 1987: New Development in Camera Calibration: Calibrating a Pair of Mobile Cameras, A
Summers, L.[Luke]
* 2022: Decision-Support System for Safety and Security Assessment and Management in Smart Cities
Summers, N.[Natalie]
* 2022: Underwater Hyperspectral Imaging of Arctic Macroalgal Habitats during the Polar Night Using a Novel Mini-ROV-UHI Portable System
Summers, P.
* 2003: Intensity-based 2-D-3-D registration of cerebral angiograms
* 2004: Vascular segmentation of phase contrast magnetic resonance angiograms based on statistical mixture modeling and local phase coherence
* 2015: Multiview cluster ensembles for multimodal MRI segmentation
Includes: Summers, P. Summers, P.[Paul]
Summers, P.E.
* 1994: Intensity-Based Object Extraction from 3D Medical Images Including a Correction of Partial Volume Errors
* 1997: Automatic Correction of Motion Artifacts in Magnetic-Resonance Images Using an Entropy Focus Criterion
Summers, R.
* 2001: Confocal Volume Rendering of the Thorax
Summers, R.M.
* 2000: Gray-scale skeletonization of small vessels in magnetic resonance angiography
* 2001: Helical CT of Von Hippel-Lindau: Semi-automated Segmentation of Renal Lesions
* 2003: Method for segmenting medical images and detecting surface anomalies in anatomical structures
* 2004: Colonic Polyp Segmentation in CT Colonography-Based on Fuzzy Clustering and Deformable Models
* 2004: Introduction to the Special Section on Virtual Endoscopy
* 2004: Tracheal and Central Bronchial Aerodynamics Using Virtual Bronchoscopy and Computational Fluid Dynamics
* 2006: Hybrid segmentation of colon filled with air and opacified fluid for CT colonography
* 2007: Automatic Correction of Level Set Based Subvoxel Precise Centerlines for Virtual Colonoscopy Using the Colon Outer Wall
* 2007: Computer-aided classification of anomalies in anatomical structures
* 2007: CT Colonography Computer-Aided Polyp Detection using Topographical Height Map
* 2007: Teniæ Coli Detection from Colon Surface: Extraction of Anatomical Markers for Virtual Colonoscopy
* 2008: Computer Aided Evaluation of Ankylosing Spondylitis Using High-Resolution CT
* 2008: Detection of anatomical landmarks in human colon from computed tomographic colonography images
* 2008: Matching colonic polyps from prone and supine CT colonography scans based on statistical curvature information
* 2009: Employing topographical height map in colonic polyp measurement and false positive reduction
* 2009: Renal tumor quantification and classification in contrast-enhanced abdominal CT
* 2010: Automated detection of blob structures by Hessian analysis and object scale
* 2010: Characterizing Colonic Detections in CT Colonography Using Curvature-Based Feature Descriptor and Bag-of-Words Model
* 2010: Colonic fold detection from computed tomographic colonography images using diffusion-FCM and level sets
* 2010: Graph matching based on mean field theory
* 2010: Improved method for predicting polyp location from CT colonography for optical colonoscopy
* 2010: Improving polyp detection algorithms for CT colonography: Pareto front approach
* 2010: Teniae Coli Extraction in Human Colon for Computed Tomographic Colonography Images
* 2011: Detection of pelvic fractures using graph cuts and curvatures
* 2012: Seeing Is Believing: Video Classification for Computed Tomographic Colonography Using Multiple-Instance Learning
* 2012: Tumor Burden Analysis on Computed Tomography by Automated Liver and Tumor Segmentation
* 2013: Mesenteric Vasculature-Guided Small Bowel Segmentation on 3-D CT
* 2015: Interleaved text/image Deep Mining on a large-scale radiology database
* 2015: Optimizing area under the ROC curve using semi-supervised learning
* 2016: Accurate 3D bone segmentation in challenging CT images: Bottom-up parsing and contextualized optimization
* 2016: Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning
* 2016: Guest Editorial Deep Learning in Medical Imaging: Overview and Future Promise of an Exciting New Technique
* 2016: Improving Computer-Aided Detection Using Convolutional Neural Networks and Random View Aggregation
* 2016: Learning to Read Chest X-Rays: Recurrent Neural Cascade Model for Automated Image Annotation
* 2016: Multi-label Deep Regression and Unordered Pooling for Holistic Interstitial Lung Disease Pattern Detection
* 2017: Bottom-Up Approach for Pancreas Segmentation Using Cascaded Superpixels and (Deep) Image Patch Labeling, A
* 2017: ChestX-Ray8: Hospital-Scale Chest X-Ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases
* 2017: Pancreatic Tumor Growth Prediction With Elastic-Growth Decomposition, Image-Derived Motion, and FDM-FEM Coupling
* 2017: Unsupervised Joint Mining of Deep Features and Image Labels for Large-Scale Radiology Image Categorization and Scene Recognition
* 2018: Convolutional Invasion and Expansion Networks for Tumor Growth Prediction
* 2018: Deep Lesion Graphs in the Wild: Relationship Learning and Organization of Significant Radiology Image Findings in a Diverse Large-Scale Lesion Database
* 2018: TieNet: Text-Image Embedding Network for Common Thorax Disease Classification and Reporting in Chest X-Rays
* 2019: Holistic and Comprehensive Annotation of Clinically Significant Findings on Diverse CT Images: Learning From Radiology Reports and Label Ontology
* 2020: Spatio-Temporal Convolutional LSTMs for Tumor Growth Prediction by Learning 4D Longitudinal Patient Data
* 2021: Generalized Zero-Shot Chest X-Ray Diagnosis Through Trait-Guided Multi-View Semantic Embedding With Self-Training
* 2021: Review of Deep Learning in Medical Imaging: Imaging Traits, Technology Trends, Case Studies With Progress Highlights, and Future Promises, A
* 2022: Robust convolutional neural networks against adversarial attacks on medical images
Includes: Summers, R.M. Summers, R.M.[Ronald M.]
47 for Summers, R.M.
Summers, S.L.
* 2005: Model checking for E-business control and assurance
Summers, T.C.[Tyler C.]
* 2023: Multi-LEO Satellite Stereo Winds
* 2023: Optimal Estimation Inversion of Ionospheric Electron Density from GNSS-POD Limb Measurements: Part I-Algorithm and Morphology
* 2024: GEO-GEO Stereo Observation of Diurnal Cloud Variations over the Eastern Pacific, A
Summerskill, S.J.
* 2019: Automating Photogrammetry for The 3d Digitisation of Small Artefact Collections
Summet, J.
* 2005: Improving the Speed of Virtual Rear Projection: A GPU-Centric Architecture
* 2006: Instant replay using high speed motion capture and projected overlay
Includes: Summet, J. Summet, J.[Jay]
Summons, P.
* 2008: Classification of colonic polyps using Hidden Markov Models
* 2010: False Positive Reduction in Colonic Polyp Detection Using Glocal Information
* 2019: accurate black lung detection using transfer learning based on deep neural networks, An
Includes: Summons, P. Summons, P.[Peter]