b'Ulas Bagci'

research

∙ 01/06/2023

RUPNet: Residual upsampling network for real-time polyp segmentation

Colorectal cancer is among the most prevalent cause of cancer-related mo...

Nikhil Kumar Tomar, et al. ∙

research

∙ 12/20/2022

Domain Generalization with Correlated Style Uncertainty

Though impressive success has been witnessed in computer vision, deep le...

Zheyuan Zhang, et al. ∙

research

∙ 10/29/2022

Multi-Scale Fusion Methodologies for Head and Neck Tumor Segmentation

Head and Neck (H&N) organ-at-risk (OAR) and tumor segmentations are esse...

Abhishek Srivastava, et al. ∙

research

∙ 10/24/2022

DilatedSegNet: A Deep Dilated Segmentation Network for Polyp Segmentation

Colorectal cancer (CRC) is the second leading cause of cancer-related de...

Nikhil Kumar Tomar, et al. ∙

research

∙ 08/15/2022

An Efficient Multi-Scale Fusion Network for 3D Organ at Risk (OAR) Segmentation

Accurate segmentation of organs-at-risks (OARs) is a precursor for optim...

Abhishek Srivastava, et al. ∙

research

∙ 08/05/2022

Federated Learning for Medical Applications: A Taxonomy, Current Trends, Challenges, and Future Research Directions

With the advent of the IoT, AI, and ML/DL algorithms, the data-driven me...

Ashish Rauniyar, et al. ∙

research

∙ 07/19/2022

COVID-19 Detection from Respiratory Sounds with Hierarchical Spectrogram Transformers

Monitoring of prevalent airborne diseases such as COVID-19 characteristi...

Idil Aytekin, et al. ∙

research

∙ 07/06/2022

Multi-Contrast MRI Segmentation Trained on Synthetic Images

In our comprehensive experiments and evaluations, we show that it is pos...

Ismail Irmakci, et al. ∙

research

∙ 06/22/2022

Video Analytics in Elite Soccer: A Distributed Computing Perspective

Ubiquitous sensors and Internet of Things (IoT) technologies have revolu...

Debesh Jha, et al. ∙

research

∙ 06/21/2022

Neural Transformers for Intraductal Papillary Mucosal Neoplasms (IPMN) Classification in MRI images

Early detection of precancerous cysts or neoplasms, i.e., Intraductal Pa...

Federica Proietto Salanitri, et al. ∙

research

∙ 06/17/2022

TransResU-Net: Transformer based ResU-Net for Real-Time Colonoscopy Polyp Segmentation

Colorectal cancer (CRC) is one of the most common causes of cancer and c...

Nikhil Kumar Tomar, et al. ∙

research

∙ 06/16/2022

Video Capsule Endoscopy Classification using Focal Modulation Guided Convolutional Neural Network

Video capsule endoscopy is a hot topic in computer vision and medicine. ...

Abhishek Srivastava, et al. ∙

research

∙ 06/13/2022

Automatic Polyp Segmentation with Multiple Kernel Dilated Convolution Network

The detection and removal of precancerous polyps through colonoscopy is ...

Nikhil Kumar Tomar, et al. ∙

research

∙ 06/01/2022

Dynamic Linear Transformer for 3D Biomedical Image Segmentation

Transformer-based neural networks have surpassed promising performance o...

Zheyuan Zhang, et al. ∙

research

∙ 05/21/2022

Transformer based Generative Adversarial Network for Liver Segmentation

Automated liver segmentation from radiology scans (CT, MRI) can improve ...

Ugur Demir, et al. ∙

research

∙ 03/23/2022

Out of Distribution Detection, Generalization, and Robustness Triangle with Maximum Probability Theorem

Maximum Probability Framework, powered by Maximum Probability Theorem, i...

Amir Emad Marvasti, et al. ∙

research

∙ 02/03/2022

Enhancing Organ at Risk Segmentation with Improved Deep Neural Networks

Organ at risk (OAR) segmentation is a crucial step for treatment plannin...

Ilkin Isler, et al. ∙

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. ∙

Ulas Bagci

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