b'Ulas Bagci'

research

∙ 09/03/2021

Hierarchical 3D Feature Learning for Pancreas Segmentation

We propose a novel 3D fully convolutional deep network for automated pan...

Federica Proietto Salanitri, et al. ∙

research

∙ 04/11/2021

Deformable Capsules for Object Detection

Capsule networks promise significant benefits over convolutional network...

Rodney LaLonde, et al. ∙

research

∙ 04/07/2021

Information Bottleneck Attribution for Visual Explanations of Diagnosis and Prognosis

Visual explanation methods have an important role in the prognosis of th...

Ugur Demir, et al. ∙

research

∙ 10/18/2020

Variational Capsule Encoder

We propose a novel capsule network based variational encoder architectur...

Harish RaviPrakash, et al. ∙

research

∙ 09/07/2020

Brain Tumor Survival Prediction using Radiomics Features

Surgery planning in patients diagnosed with brain tumor is dependent on ...

Sobia Yousaf, et al. ∙

research

∙ 05/11/2020

Adipose Tissue Segmentation in Unlabeled Abdomen MRI using Cross Modality Domain Adaptation

Abdominal fat quantification is critical since multiple vital organs are...

Samira Masoudi, et al. ∙

research

∙ 04/29/2020

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...

Arjun Desai, et al. ∙

research

∙ 04/09/2020

Capsules for Biomedical Image Segmentation

Our work expands the use of capsule networks to the task of object segme...

Rodney LaLonde, et al. ∙

research

∙ 03/01/2020

Deep Learning for Musculoskeletal Image Analysis

The diagnosis, prognosis, and treatment of patients with musculoskeletal...

Ismail Irmakci, et al. ∙

research

∙ 01/10/2020

Diagnosing Colorectal Polyps in the Wild with Capsule Networks

Colorectal cancer, largely arising from precursor lesions called polyps,...

Rodney LaLonde, et al. ∙

research

∙ 10/16/2019

A Survey on Recent Advancements for AI Enabled Radiomics in Neuro-Oncology

Artificial intelligence (AI) enabled radiomics has evolved immensely esp...

Syed Muhammad Anwar, et al. ∙

research

∙ 09/12/2019

Encoding High-Level Visual Attributes in Capsules for Explainable Medical Diagnoses

Deep neural networks are often called black-boxes due to their difficult...

Rodney LaLonde, et al. ∙

research

∙ 08/26/2019

Cross-modality Knowledge Transfer for Prostate Segmentation from CT Scans

Creating large scale high-quality annotations is a known challenge in me...

Yucheng Liu, et al. ∙

research

∙ 08/18/2019

Weakly Supervised Segmentation by A Deep Geodesic Prior

The performance of the state-of-the-art image segmentation methods heavi...

Aliasghar Mortazi, et al. ∙

research

∙ 07/17/2019

Electroencephalography based Classification of Long-term Stress using Psychological Labeling

Stress research is a rapidly emerging area in thefield of electroencepha...

Sanay Muhammad Umar Saeed, et al. ∙

research

∙ 06/30/2019

INN: Inflated Neural Networks for IPMN Diagnosis

Intraductal papillary mucinous neoplasm (IPMN) is a precursor to pancrea...

Rodney LaLonde, et al. ∙

research

∙ 06/11/2019

PAN: Projective Adversarial Network for Medical Image Segmentation

Adversarial learning has been proven to be effective for capturing long-...

Naji Khosravan, et al. ∙

research

∙ 05/13/2019

Classification of Perceived Human Stress using Physiological Signals

In this paper, we present an experimental study for the classification o...

Aamir Arsalan, et al. ∙

research

∙ 05/13/2019

Emotion Classification in Response to Tactile Enhanced Multimedia using Frequency Domain Features of Brain Signals

Tactile enhanced multimedia is generated by synchronizing traditional mu...

Aasim Raheel, et al. ∙

research

∙ 04/08/2019

Relational Reasoning Network (RRN) for Anatomical Landmarking

Accurately identifying anatomical landmarks is a crucial step in deforma...

Neslisah Torosdagli, et al. ∙

research

∙ 02/21/2019

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...

Xiahai Zhuang, et al. ∙

research

∙ 01/17/2019

Instance-Level Microtubule Segmentation Using Recurrent Attention

We propose a new deep learning algorithm for multiple microtubule (MT) s...

Samira Masoudi, et al. ∙

research

∙ 12/09/2018

Artificial Intelligence Assisted Infrastructure Assessment Using Mixed Reality Systems

Conventional methods for visual assessment of civil infrastructures have...

Enes Karaaslan, et al. ∙

research

∙ 10/14/2018

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 ...

Ismail Irmakci, et al. ∙

research

∙ 10/06/2018

Deep Geodesic Learning for Segmentation and Anatomical Landmarking

In this paper, we propose a novel deep learning framework for anatomy se...

Neslisah Torosdagli, et al. ∙

research

∙ 07/19/2018

Automatically Designing CNN Architectures for Medical Image Segmentation

Deep neural network architectures have traditionally been designed and e...

Aliasghar Mortazi, et al. ∙

research

∙ 06/04/2018

End to End Brain Fiber Orientation Estimation using Deep Learning

In this work, we explore the various Brain Neuron tracking techniques, w...

Nandakishore Puttashamachar, et al. ∙

research

∙ 05/06/2018

S4ND: Single-Shot Single-Scale Lung Nodule Detection

The state of the art lung nodule detection studies rely on computational...

Naji Khosravan, et al. ∙

research

∙ 04/11/2018

Capsules for Object Segmentation

Convolutional neural networks (CNNs) have shown remarkable results over ...

Rodney LaLonde, et al. ∙

research

∙ 02/17/2018

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 ...

Naji Khosravan, et al. ∙

research

∙ 02/17/2018

Semi-supervised multi-task learning for lung cancer diagnosis

Early detection of lung nodules is of great importance in lung cancer sc...

Naji Khosravan, et al. ∙

research

∙ 01/10/2018

Supervised and Unsupervised Tumor Characterization in the Deep Learning Era

Computer Aided Diagnosis (CAD) tools are often needed for fast and accur...

Sarfaraz Hussein, et al. ∙

research

∙ 10/26/2017

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...

Sarfaraz Hussein, et al. ∙

research

∙ 10/26/2017

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...

Maria J. M. Chuquicusma, et al. ∙

research

∙ 08/03/2017

Multi-Planar Deep Segmentation Networks for Cardiac Substructures from MRI and CT

Non-invasive detection of cardiovascular disorders from radiology scans ...

Aliasghar Mortazi, et al. ∙

research

∙ 05/26/2017

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...

Harish RaviPrakash, et al. ∙

research

∙ 05/17/2017

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...

Aliasghar Mortazi, et al. ∙

research

∙ 03/02/2017

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...

Sarfaraz Hussein, et al. ∙

research

∙ 02/23/2017

Robust and fully automated segmentation of mandible from CT scans

Mandible bone segmentation from computed tomography (CT) scans is challe...

Neslisah Torosdagli, et al. ∙

research

∙ 09/21/2016

Characterization of Lung Nodule Malignancy using Hybrid Shape and Appearance Features

Computed tomography imaging is a standard modality for detecting and ass...

Mario Buty, et al. ∙

research

∙ 08/10/2016

Gaze2Segment: A Pilot Study for Integrating Eye-Tracking Technology into Medical Image Segmentation

This study introduced a novel system, called Gaze2Segment, integrating b...

Naji Khosravan, et al. ∙

research

∙ 12/15/2015

Context Driven Label Fusion for segmentation of Subcutaneous and Visceral Fat in CT Volumes

Quantification of adipose tissue (fat) from computed tomography (CT) sca...

Sarfaraz Hussein, et al. ∙

research

∙ 07/11/2014

Optimally Stabilized PET Image Denoising Using Trilateral Filtering

Low-resolution and signal-dependent noise distribution in positron emiss...

Awais Mansoor, et al. ∙

research

∙ 07/11/2014

Near-optimal Keypoint Sampling for Fast Pathological Lung Segmentation

Accurate delineation of pathological lungs from computed tomography (CT)...

Awais Mansoor, et al. ∙

research

∙ 07/11/2014

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...

Awais Mansoor, et al. ∙

research

∙ 06/26/2011

Learning Shape and Texture Characteristics of CT Tree-in-Bud Opacities for CAD Systems

Although radiologists can employ CAD systems to characterize malignancie...

Ulas Bagci, et al. ∙

research

∙ 02/05/2010

Ball-Scale Based Hierarchical Multi-Object Recognition in 3D Medical Images

This paper investigates, using prior shape models and the concept of bal...

Ulas Bagci, et al. ∙

research

∙ 02/05/2010

The Influence of Intensity Standardization on Medical Image Registration

Acquisition-to-acquisition signal intensity variations (non-standardness...

Ulas Bagci, et al. ∙

research

∙ 07/18/2009

Parallel AdaBoost Algorithm for Gabor Wavelet Selection in Face Recognition

In this paper, the problem of automatic Gabor wavelet selection for face...

Ulas Bagci, et al. ∙

research

∙ 07/18/2009

Fully Automatic 3D Reconstruction of Histological Images

In this paper, we propose a computational framework for 3D volume recons...

Ulas Bagci, et al. ∙

Ulas Bagci

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