Ulas Bagci

Variational Capsule Encoder

We propose a novel capsule network based variational encoder architectur...
10/18/2020 ∙ by Harish RaviPrakash, et al. ∙ 22 ∙ share

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Brain Tumor Survival Prediction using Radiomics Features

Surgery planning in patients diagnosed with brain tumor is dependent on ...
09/07/2020 ∙ by Sobia Yousaf, et al. ∙ 0 ∙ share

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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...
05/11/2020 ∙ by Samira Masoudi, et al. ∙ 4 ∙ share

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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...
04/29/2020 ∙ by Arjun D. Desai, et al. ∙ 1 ∙ share

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Capsules for Biomedical Image Segmentation

Our work expands the use of capsule networks to the task of object segme...
04/09/2020 ∙ by Rodney LaLonde, et al. ∙ 13 ∙ share

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Deep Learning for Musculoskeletal Image Analysis

The diagnosis, prognosis, and treatment of patients with musculoskeletal...
03/01/2020 ∙ by Ismail Irmakci, et al. ∙ 0 ∙ share

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Diagnosing Colorectal Polyps in the Wild with Capsule Networks

Colorectal cancer, largely arising from precursor lesions called polyps,...
01/10/2020 ∙ by Rodney LaLonde, et al. ∙ 28 ∙ share

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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...
10/16/2019 ∙ by Syed Muhammad Anwar, et al. ∙ 0 ∙ share

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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...
09/12/2019 ∙ by Rodney LaLonde, et al. ∙ 12 ∙ share

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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...
08/26/2019 ∙ by Yucheng Liu, et al. ∙ 4 ∙ share

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Weakly Supervised Segmentation by A Deep Geodesic Prior

The performance of the state-of-the-art image segmentation methods heavi...
08/18/2019 ∙ by Aliasghar Mortazi, et al. ∙ 6 ∙ share

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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...
07/17/2019 ∙ by Sanay Muhammad Umar Saeed, et al. ∙ 4 ∙ share

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INN: Inflated Neural Networks for IPMN Diagnosis

Intraductal papillary mucinous neoplasm (IPMN) is a precursor to pancrea...
06/30/2019 ∙ by Rodney LaLonde, et al. ∙ 6 ∙ share

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PAN: Projective Adversarial Network for Medical Image Segmentation

Adversarial learning has been proven to be effective for capturing long-...
06/11/2019 ∙ by Naji Khosravan, et al. ∙ 7 ∙ share

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Classification of Perceived Human Stress using Physiological Signals

In this paper, we present an experimental study for the classification o...
05/13/2019 ∙ by Aamir Arsalan, et al. ∙ 13 ∙ share

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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...
05/13/2019 ∙ by Aasim Raheel, et al. ∙ 0 ∙ share

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Relational Reasoning Network (RRN) for Anatomical Landmarking

Accurately identifying anatomical landmarks is a crucial step in deforma...
04/08/2019 ∙ by Neslisah Torosdagli, et al. ∙ 14 ∙ share

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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...
02/21/2019 ∙ by Xiahai Zhuang, et al. ∙ 14 ∙ share

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Instance-Level Microtubule Segmentation Using Recurrent Attention

We propose a new deep learning algorithm for multiple microtubule (MT) s...
01/17/2019 ∙ by Samira Masoudi, et al. ∙ 4 ∙ share

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Artificial Intelligence Assisted Infrastructure Assessment Using Mixed Reality Systems

Conventional methods for visual assessment of civil infrastructures have...
12/09/2018 ∙ by Enes Karaaslan, et al. ∙ 0 ∙ share

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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 ...
10/14/2018 ∙ by Ismail Irmakci, et al. ∙ 0 ∙ share

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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...
10/06/2018 ∙ by Neslisah Torosdagli, et al. ∙ 16 ∙ share

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Automatically Designing CNN Architectures for Medical Image Segmentation

Deep neural network architectures have traditionally been designed and e...
07/19/2018 ∙ by Aliasghar Mortazi, et al. ∙ 12 ∙ share

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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...
06/04/2018 ∙ by Nandakishore Puttashamachar, et al. ∙ 0 ∙ share

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S4ND: Single-Shot Single-Scale Lung Nodule Detection

The state of the art lung nodule detection studies rely on computational...
05/06/2018 ∙ by Naji Khosravan, et al. ∙ 2 ∙ share

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Capsules for Object Segmentation

Convolutional neural networks (CNNs) have shown remarkable results over ...
04/11/2018 ∙ by Rodney LaLonde, et al. ∙ 4 ∙ share

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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 ...
02/17/2018 ∙ by Naji Khosravan, et al. ∙ 0 ∙ share

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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...
02/17/2018 ∙ by Naji Khosravan, et al. ∙ 0 ∙ share

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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...
01/10/2018 ∙ by Sarfaraz Hussein, et al. ∙ 0 ∙ share

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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...
10/26/2017 ∙ by Sarfaraz Hussein, et al. ∙ 0 ∙ share

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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...
10/26/2017 ∙ by Maria J. M. Chuquicusma, et al. ∙ 0 ∙ share

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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 ...
08/03/2017 ∙ by Aliasghar Mortazi, et al. ∙ 0 ∙ share

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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...
05/26/2017 ∙ by Harish RaviPrakash, et al. ∙ 0 ∙ share

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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...
05/17/2017 ∙ by Aliasghar Mortazi, et al. ∙ 0 ∙ share

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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...
03/02/2017 ∙ by Sarfaraz Hussein, et al. ∙ 0 ∙ share

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Robust and fully automated segmentation of mandible from CT scans

Mandible bone segmentation from computed tomography (CT) scans is challe...
02/23/2017 ∙ by Neslisah Torosdagli, et al. ∙ 0 ∙ share

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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...
09/21/2016 ∙ by Mario Buty, et al. ∙ 0 ∙ share

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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...
08/10/2016 ∙ by Naji Khosravan, et al. ∙ 0 ∙ share

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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...
12/15/2015 ∙ by Sarfaraz Hussein, et al. ∙ 0 ∙ share

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Optimally Stabilized PET Image Denoising Using Trilateral Filtering

Low-resolution and signal-dependent noise distribution in positron emiss...
07/11/2014 ∙ by Awais Mansoor, et al. ∙ 0 ∙ share

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Near-optimal Keypoint Sampling for Fast Pathological Lung Segmentation

Accurate delineation of pathological lungs from computed tomography (CT)...
07/11/2014 ∙ by Awais Mansoor, et al. ∙ 0 ∙ share

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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...
07/11/2014 ∙ by Awais Mansoor, et al. ∙ 0 ∙ share

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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...
06/26/2011 ∙ by Ulas Bagci, et al. ∙ 0 ∙ share

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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...
02/05/2010 ∙ by Ulas Bagci, et al. ∙ 0 ∙ share

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The Influence of Intensity Standardization on Medical Image Registration

Acquisition-to-acquisition signal intensity variations (non-standardness...
02/05/2010 ∙ by Ulas Bagci, et al. ∙ 0 ∙ share

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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...
07/18/2009 ∙ by Ulas Bagci, et al. ∙ 0 ∙ share

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Fully Automatic 3D Reconstruction of Histological Images

In this paper, we propose a computational framework for 3D volume recons...
07/18/2009 ∙ by Ulas Bagci, et al. ∙ 0 ∙ share

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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...
07/18/2009 ∙ by Ulas Bagci, et al. ∙ 0 ∙ share

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Multiresolution Elastic Medical Image Registration in Standard Intensity Scale

Medical image registration is a difficult problem. Not only a registrati...
07/12/2009 ∙ by Ulas Bagci, et al. ∙ 0 ∙ share

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Ulas Bagci

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