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Variational Capsule Encoder
We propose a novel capsule network based variational encoder architectur...
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Brain Tumor Survival Prediction using Radiomics Features
Surgery planning in patients diagnosed with brain tumor is dependent on ...
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Adipose Tissue Segmentation in Unlabeled Abdomen MRI using Cross Modality Domain Adaptation
Abdominal fat quantification is critical since multiple vital organs are...
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The International Workshop on Osteoarthritis Imaging Knee MRI Segmentation Challenge: A Multi-Institute Evaluation and Analysis Framework on a Standardized Dataset
Purpose: To organize a knee MRI segmentation challenge for characterizin...
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Capsules for Biomedical Image Segmentation
Our work expands the use of capsule networks to the task of object segme...
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Deep Learning for Musculoskeletal Image Analysis
The diagnosis, prognosis, and treatment of patients with musculoskeletal...
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Diagnosing Colorectal Polyps in the Wild with Capsule Networks
Colorectal cancer, largely arising from precursor lesions called polyps,...
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A Survey on Recent Advancements for AI Enabled Radiomics in Neuro-Oncology
Artificial intelligence (AI) enabled radiomics has evolved immensely esp...
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Encoding High-Level Visual Attributes in Capsules for Explainable Medical Diagnoses
Deep neural networks are often called black-boxes due to their difficult...
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Cross-modality Knowledge Transfer for Prostate Segmentation from CT Scans
Creating large scale high-quality annotations is a known challenge in me...
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Weakly Supervised Segmentation by A Deep Geodesic Prior
The performance of the state-of-the-art image segmentation methods heavi...
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Electroencephalography based Classification of Long-term Stress using Psychological Labeling
Stress research is a rapidly emerging area in thefield of electroencepha...
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INN: Inflated Neural Networks for IPMN Diagnosis
Intraductal papillary mucinous neoplasm (IPMN) is a precursor to pancrea...
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PAN: Projective Adversarial Network for Medical Image Segmentation
Adversarial learning has been proven to be effective for capturing long-...
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Classification of Perceived Human Stress using Physiological Signals
In this paper, we present an experimental study for the classification o...
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Emotion Classification in Response to Tactile Enhanced Multimedia using Frequency Domain Features of Brain Signals
Tactile enhanced multimedia is generated by synchronizing traditional mu...
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Relational Reasoning Network (RRN) for Anatomical Landmarking
Accurately identifying anatomical landmarks is a crucial step in deforma...
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Evaluation of Algorithms for Multi-Modality Whole Heart Segmentation: An Open-Access Grand Challenge
Knowledge of whole heart anatomy is a prerequisite for many clinical app...
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Instance-Level Microtubule Segmentation Using Recurrent Attention
We propose a new deep learning algorithm for multiple microtubule (MT) s...
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Artificial Intelligence Assisted Infrastructure Assessment Using Mixed Reality Systems
Conventional methods for visual assessment of civil infrastructures have...
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A Novel Extension to Fuzzy Connectivity for Body Composition Analysis: Applications in Thigh, Brain, and Whole Body Tissue Segmentation
Magnetic resonance imaging (MRI) is the non-invasive modality of choice ...
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Deep Geodesic Learning for Segmentation and Anatomical Landmarking
In this paper, we propose a novel deep learning framework for anatomy se...
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Automatically Designing CNN Architectures for Medical Image Segmentation
Deep neural network architectures have traditionally been designed and e...
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End to End Brain Fiber Orientation Estimation using Deep Learning
In this work, we explore the various Brain Neuron tracking techniques, w...
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S4ND: Single-Shot Single-Scale Lung Nodule Detection
The state of the art lung nodule detection studies rely on computational...
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Capsules for Object Segmentation
Convolutional neural networks (CNNs) have shown remarkable results over ...
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A Collaborative Computer Aided Diagnosis (C-CAD) System with Eye-Tracking, Sparse Attentional Model, and Deep Learning
There are at least two categories of errors in radiology screening that ...
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Semi-supervised multi-task learning for lung cancer diagnosis
Early detection of lung nodules is of great importance in lung cancer sc...
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Supervised and Unsupervised Tumor Characterization in the Deep Learning Era
Computer Aided Diagnosis (CAD) tools are often needed for fast and accur...
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Deep Multi-Modal Classification of Intraductal Papillary Mucinous Neoplasms (IPMN) with Canonical Correlation Analysis
Pancreatic cancer has the poorest prognosis among all cancer types. Intr...
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How to Fool Radiologists with Generative Adversarial Networks? A Visual Turing Test for Lung Cancer Diagnosis
Discriminating lung nodules as malignant or benign is still an underlyin...
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Multi-Planar Deep Segmentation Networks for Cardiac Substructures from MRI and CT
Non-invasive detection of cardiovascular disorders from radiology scans ...
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Automatic Response Assessment in Regions of Language Cortex in Epilepsy Patients Using ECoG-based Functional Mapping and Machine Learning
Accurate localization of brain regions responsible for language and cogn...
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CardiacNET: Segmentation of Left Atrium and Proximal Pulmonary Veins from MRI Using Multi-View CNN
Anatomical and biophysical modeling of left atrium (LA) and proximal pul...
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TumorNet: Lung Nodule Characterization Using Multi-View Convolutional Neural Network with Gaussian Process
Characterization of lung nodules as benign or malignant is one of the mo...
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Robust and fully automated segmentation of mandible from CT scans
Mandible bone segmentation from computed tomography (CT) scans is challe...
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Characterization of Lung Nodule Malignancy using Hybrid Shape and Appearance Features
Computed tomography imaging is a standard modality for detecting and ass...
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Gaze2Segment: A Pilot Study for Integrating Eye-Tracking Technology into Medical Image Segmentation
This study introduced a novel system, called Gaze2Segment, integrating b...
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Context Driven Label Fusion for segmentation of Subcutaneous and Visceral Fat in CT Volumes
Quantification of adipose tissue (fat) from computed tomography (CT) sca...
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Optimally Stabilized PET Image Denoising Using Trilateral Filtering
Low-resolution and signal-dependent noise distribution in positron emiss...
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Near-optimal Keypoint Sampling for Fast Pathological Lung Segmentation
Accurate delineation of pathological lungs from computed tomography (CT)...
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CIDI-Lung-Seg: A Single-Click Annotation Tool for Automatic Delineation of Lungs from CT Scans
Accurate and fast extraction of lung volumes from computed tomography (C...
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Learning Shape and Texture Characteristics of CT Tree-in-Bud Opacities for CAD Systems
Although radiologists can employ CAD systems to characterize malignancie...
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Ball-Scale Based Hierarchical Multi-Object Recognition in 3D Medical Images
This paper investigates, using prior shape models and the concept of bal...
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The Influence of Intensity Standardization on Medical Image Registration
Acquisition-to-acquisition signal intensity variations (non-standardness...
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Parallel AdaBoost Algorithm for Gabor Wavelet Selection in Face Recognition
In this paper, the problem of automatic Gabor wavelet selection for face...
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Fully Automatic 3D Reconstruction of Histological Images
In this paper, we propose a computational framework for 3D volume recons...
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Registration of Standardized Histological Images in Feature Space
In this paper, we propose three novel and important methods for the regi...
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Multiresolution Elastic Medical Image Registration in Standard Intensity Scale
Medical image registration is a difficult problem. Not only a registrati...
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