Ulas Bagci

发表

Determination of Onset of Failure of Rocks in Multiple Failure State Triaxial Tests Using Scale-based Differential Geometry

Ulas Bagci, Deniz Mamurekli, D. Mamurekli, 2009 .

Intensity non-standardness affects computer recognition of anatomical structures

Xinjian Chen, Jayaram K. Udupa, Ulas Bagci, 2011, Medical Imaging.

The International Workshop on Osteoarthritis Imaging Knee MRI Segmentation Challenge: A Multi-Institute Evaluation and Analysis Framework on a Standardized Dataset pdf

Mehmet Akcakaya, Akshay Pai, Ulas Bagci, 2020, Radiology. Artificial intelligence.

Diagnosing Colorectal Polyps in the Wild with Capsule Networks

Concetto Spampinato, Ulas Bagci, Michael B. Wallace, 2020, 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI).

Characterizing non-linear dependencies among pairs of clinical variables and imaging data

Ulas Bagci, Jesus J. Caban, Daniel J. Mollura, 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Detecting Alzheimer Disease in Magnetic Resonance Brain Images Using Gabor Wavelets

Ulas Bagci, Li Bai, L. Bai, 2007, 2007 IEEE 15th Signal Processing and Communications Applications.

Computer-assisted detection of infectious lung diseases: A review

Ulas Bagci, Jianhua Yao, Jesus J. Caban, 2012, Comput. Medical Imaging Graph..

Near-optimal keypoint sampling for fast pathological lung segmentation

Ulas Bagci, Daniel J. Mollura, Awais Mansoor, 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Deep Learning Provides Exceptional Accuracy to ECoG-Based Functional Language Mapping for Epilepsy Surgery

Syed Muhammad Anwar, Concetto Spampinato, Ulas Bagci, 2020, Frontiers in Neuroscience.

Capsules for Object Segmentation pdf

Ulas Bagci, Rodney LaLonde, U. Bagci, 2018, ArXiv.

State-of-the-Art in Brain Tumor Segmentation and Current Challenges

Syed Muhammad Anwar, Ulas Bagci, Sobia Yousaf, 2020, MLCN/RNO-AI@MICCAI.

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

Syed Muhammad Anwar, Ulas Bagci, Aasim Raheel, 2019, 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

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

Ulas Bagci, Peter L. Choyke, Samira Masoudi, 2020, 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

Orientation estimation of anatomical structures in medical images for object recognition

Xinjian Chen, Jayaram K. Udupa, Ulas Bagci, 2011, Medical Imaging.

Correction to "A Generic Approach to Pathological Lung Segmentation"

Jayaram K. Udupa, Ulas Bagci, Daniel J. Mollura, 2015, IEEE Trans. Medical Imaging.

Fully automatic 3D reconstruction of histological images

Li Bai, Ulas Bagci, L. Bai, 2008, 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Holistic classification of CT attenuation patterns for interstitial lung diseases via deep convolutional neural networks

Ronald M. Summers, Ulas Bagci, Holger Roth, 2018, Comput. methods Biomech. Biomed. Eng. Imaging Vis..

Instance-Level Microtubule Segmentation Using Recurrent Attention

Ulas Bagci, Afsaneh Razi, Samira Masoudi, 2019, ArXiv.

A graph-theoretic approach for segmentation of PET images

Ulas Bagci, Jianhua Yao, Daniel J. Mollura, 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Joint solution for PET image segmentation, denoising, and partial volume correction

Ulas Bagci, Mingchen Gao, Daniel J. Mollura, 2018, Medical Image Anal..

A hybrid multi-scale approach to automatic airway tree segmentation from CT scans

Ulas Bagci, Daniel J. Mollura, Ziyue Xu, 2013, 2013 IEEE 10th International Symposium on Biomedical Imaging.

Efficient ribcage segmentation from CT scans using shape features

Ulas Bagci, Daniel J. Mollura, Ziyue Xu, 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Ulas Bagci, Engin Erzin, 2006, 2006 IEEE 14th Signal Processing and Communications Applications.

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

Ulas Bagci, Drew Torigian, Rodney LaLonde, 2019, ArXiv.

Automatic Detection and Quantification of Tree-in-Bud (TIB) Opacities from CT Scans

Albert Wu, Ulas Bagci, Jianhua Yao, 2012, IEEE Transactions on Biomedical Engineering.

Introducing Willmore Flow Into Level Set Segmentation of Spinal Vertebrae

Li Bai, Ulas Bagci, Poay Hoon Lim, 2013, IEEE Transactions on Biomedical Engineering.

Co-segmentation of Functional and Anatomical Images

Jayaram K. Udupa, Ulas Bagci, Jianhua Yao, 2012, MICCAI.

Semi-Supervised Multi-Task Learning for Lung Cancer Diagnosis

Ulas Bagci, Naji Khosravan, U. Bagci, 2018, 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Gold Standard for Epilepsy/Tumor Surgery Coupled with Deep Learning Offers Independence to a Promising Functional Mapping Modality

Ulas Bagci, A. Ralescu, Milena Korostenskaja, 2019, Brain-Computer Interface Research.

Capsules for Biomedical Image Segmentation

Ulas Bagci, Sanjay Jain, Rodney LaLonde, 2020, Medical Image Anal..

Weakly Supervised Segmentation by A Deep Geodesic Prior pdf

Drew A. Torigian, Ulas Bagci, Sila Kurugol, 2019, MLMI@MICCAI.

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

Ulas Bagci, Aliasghar Mortazi, Jeremy Burt, 2017, STACOM@MICCAI.

Parallel AdaBoost algorithm for Gabor wavelet selection in face recognition

Li Bai, Ulas Bagci, 2008, 2008 15th IEEE International Conference on Image Processing.

A novel spinal vertebrae segmentation framework combining geometric flow and shape prior with level set method

Li Bai, Yan Wang, Ulas Bagci, 2012, 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI).

Registration of standardized histological images in feature space

Li Bai, Ulas Bagci, 2008, SPIE Medical Imaging.

Highly precise partial volume correction for PET images: An iterative approach via shape consistency

Ulas Bagci, Mingchen Gao, Daniel J. Mollura, 2015, 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI).

Brain Tumor Survival Prediction using Radiomics Features

Syed Muhammad Anwar, Ulas Bagci, Harish RaviPrakash, 2020, MLCN/RNO-AI@MICCAI.

Robust and fully automated segmentation of mandible from CT scans

Ulas Bagci, Sumanta N. Pattanaik, Murat Sincan, 2017, 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017).

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

Ulas Bagci, Sarfaraz Hussein, Georgios Z. Papadakis, 2015, ArXiv.

Ball-scale based hierarchical multi-object recognition in 3D medical images

Xinjian Chen, Jayaram K. Udupa, Ulas Bagci, 2010, Medical Imaging.

Semi-Supervised Deep Learning for Multi-Tissue Segmentation from Multi-Contrast MRI

Syed Muhammad Anwar, Mehmet Akcakaya, Drew A. Torigian, 2020, Journal of Signal Processing Systems.

Deep Geodesic Learning for Segmentation and Anatomical Landmarking

Ulas Bagci, Murat Sincan, Payal Verma, 2018, IEEE Transactions on Medical Imaging.

Automatically Designing CNN Architectures for Medical Image Segmentation pdf

Ulas Bagci, Aliasghar Mortazi, Aliasghar Mortazi, 2018, MLMI@MICCAI.

Atlas-based rib-bone detection in chest X-rays

Ulas Bagci, George R. Thoma, Sema Candemir, 2016, Comput. Medical Imaging Graph..

Improved PET image quantification via iterative denoising and partial volume correction

Ulas Bagci, Mingchen Gao, Daniel J. Mollura, 2015 .

Synergistic combination of clinical and imaging features predicts abnormal imaging patterns of pulmonary infections

Ulas Bagci, Jianhua Yao, Daniel J. Mollura, 2013, Comput. Biol. Medicine.

Deep Learning to Classify Intraductal Papillary Mucinous Neoplasms Using Magnetic Resonance Imaging

Ulas Bagci, Sarfaraz Hussein, Juan E Corral, 2019, Pancreas.

A New Prior Shape Model for Level Set Segmentation

Li Bai, Ulas Bagci, Poay Hoon Lim, 2011, CIARP.

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

Ulas Bagci, Jianhua Yao, Daniel J. Mollura, 2011, MICCAI.

Spatially Constrained Random Walk Approach for Accurate Estimation of Airway Wall Surfaces

Ulas Bagci, Daniel J. Mollura, Awais Mansoor, 2013, MICCAI.

Monitoring pulmonary fibrosis by fusing clinical, physiological, and computed tomography features

Ulas Bagci, Jianhua Yao, Jesus J. Caban, 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Deep Learning for Functional Brain Connectivity: Are We There Yet?

Ulas Bagci, Sachin Jambawalikar, Harish RaviPrakash, 2019, Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics.

Cross-modality Knowledge Transfer for Prostate Segmentation from CT Scans pdf

Ulas Bagci, Sachin Jambawalikar, Naji Khosravan, 2019, DART/MIL3ID@MICCAI.

Accurate and efficient separation of left and right lungs from 3D CT scans: A generic hysteresis approach

Ulas Bagci, Daniel J. Mollura, Ziyue Xu, 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Classification of Perceived Human Stress using Physiological Signals

Syed Muhammad Anwar, Ulas Bagci, Muhammad Majid, 2019, 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

3D automatic anatomy segmentation based on iterative graph-cut-ASM.

Ulas Bagci, Xinjian Chen, Xinjian Chen, 2011, Medical physics.

Deep multi-modal classification of intraductal papillary mucinous neoplasms (IPMN) with canonical correlation analysis

Ulas Bagci, Michael B. Wallace, Sarfaraz Hussein, 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018).

Supervised and Unsupervised Tumor Characterization in the Deep Learning Era pdf

Ulas Bagci, Michael B. Wallace, Sarfaraz Hussein, 2018, ArXiv.

Robust segmentation and accurate target definition for positron emission tomography images using Affinity Propagation

Ulas Bagci, Daniel J. Mollura, Ziyue Xu, 2013, 2013 IEEE 10th International Symposium on Biomedical Imaging.

Deep Learning Provides Exceptional Accuracy to ECoG-Based Functional Language Mapping for Epilepsy Surgery

Concetto Spampinato, Ulas Bagci, Milena Korostenskaja, 2018, bioRxiv.

Medical Image Segmentation by Combining Graph Cuts and Oriented Active Appearance Models

Xinjian Chen, Jayaram K. Udupa, Ulas Bagci, 2012, IEEE Transactions on Image Processing.

INN: Inflated Neural Networks for IPMN Diagnosis pdf

Ulas Bagci, Michael B. Wallace, Katerina Nikiforaki, 2019, MICCAI.

How to fool radiologists with generative adversarial networks? A visual turing test for lung cancer diagnosis

Ulas Bagci, Sarfaraz Hussein, Jeremy Burt, 2017, 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018).

CorteXpert: A model‐based method for automatic renal cortex segmentation

Xinjian Chen, Milan Sonka, Ulas Bagci, 2017, Medical Image Anal..

CardiacNET: Segmentation of Left Atrium and Proximal Pulmonary Veins from MRI Using Multi-view CNN

Kawal S. Rhode, Ulas Bagci, Aliasghar Mortazi, 2017, MICCAI.

A multi-institute automated segmentation evaluation on a standard dataset: Findings from the international workshop on osteoarthritis imaging segmentation challenge

Mehmet Akcakaya, Drew A. Torigian, Akshay Pai, 2020 .

Characterization of Lung Nodule Malignancy Using Hybrid Shape and Appearance Features

Ulas Bagci, Mingchen Gao, Daniel J. Mollura, 2016, MICCAI.

Integrating Eye Tracking and Speech Recognition Accurately Annotates MR Brain Images for Deep Learning: Proof of Principle.

Ulas Bagci, Sachin Jambawalikar, David Gutman, 2020, Radiology. Artificial intelligence.

Corrigendum to "Computer-assisted detection of infectious lung diseases: A review" [Comput. Med. Imag. Graph. 36(2012) 72-84]

Ulas Bagci, Jianhua Yao, Daniel J. Mollura, 2012, Comput. Medical Imaging Graph..

The influence of intensity standardization on medical image registration

Li Bai, Jayaram K. Udupa, Ulas Bagci, 2010, Medical Imaging.

3D automatic anatomy segmentation based on graph cut-oriented active appearance models

Xinjian Chen, Ulas Bagci, Jianhua Yao, 2010, 2010 IEEE International Conference on Image Processing.

A Novel Extension to Fuzzy Connectivity for Body Composition Analysis: Applications in Thigh, Brain, and Whole Body Tissue Segmentation

Ulas Bagci, Aydogan Savran, Luigi Ferrucci, 2018, IEEE Transactions on Biomedical Engineering.

A hybrid method for airway segmentation and automated measurement of bronchial wall thickness on CT

Jayaram K. Udupa, Ulas Bagci, Daniel J. Mollura, 2015, Medical Image Anal..

QAV-PET: Quantitative Analysis and Visualization of PET images.

Ulas Bagci, Brent Foster, Georgios Z Papadakis, 2014, Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference.

Evaluation of algorithms for Multi-Modality Whole Heart Segmentation: An open-access grand challenge

Guang Yang, Guoyan Zheng, Jean-Yves Ramel, 2019, Medical Image Anal..

TumorNet: Lung nodule characterization using multi-view Convolutional Neural Network with Gaussian Process

Ulas Bagci, Qi Song, Kunlin Cao, 2017, 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017).

Segmentation Based Denoising of PET Images: An Iterative Approach via Regional Means and Affinity Propagation

Ulas Bagci, Daniel J. Mollura, David Thomasson, 2014, MICCAI.

Identification of spinal vertebrae using mathematical morphology and level set method

Ulas Bagci, Li Bai, Poay Hoon Lim, 2011, 2011 IEEE Nuclear Science Symposium Conference Record.

Lung and Pancreatic Tumor Characterization in the Deep Learning Era: Novel Supervised and Unsupervised Learning Approaches

Ulas Bagci, Sarfaraz Hussein, Pujan Kandel, 2018, IEEE Transactions on Medical Imaging.

A Generic Approach to Pathological Lung Segmentation

Jayaram K. Udupa, Ulas Bagci, Daniel J. Mollura, 2014, IEEE Transactions on Medical Imaging.

Hierarchical Scale-Based Multiobject Recognition of 3-D Anatomical Structures

Xinjian Chen, Jayaram K. Udupa, Ulas Bagci, 2012, IEEE Transactions on Medical Imaging.

Artificial Intelligence Assisted Infrastructure Assessment using Mixed Reality Systems

Ulas Bagci, F. Necati Catbas, Enes Karaaslan, 2018, ArXiv.

Quality assurance of computer-aided detection and diagnosis in colonoscopy.

Ulas Bagci, Yuichi Mori, Masashi Misawa, 2019, Gastrointestinal endoscopy.

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

Syed Muhammad Anwar, Ulas Bagci, Hassan Mohy-ud-Din, 2019, RNO-AI@MICCAI.

EEG Based Classification of Long-Term Stress Using Psychological Labeling

Syed Muhammad Anwar, Ulas Bagci, Muhammad Majid, 2020, Sensors.

Recent advances in PET, PET-CT, and MRI-PET image segmentation techniques

Ulas Bagci, Daniel J. Mollura, Ziyue Xu, 2014 .

Segmentation of PET Images for Computer-Aided Functional Quantification of Tuberculosis in Small Animal Models

Ulas Bagci, Daniel J. Mollura, Ziyue Xu, 2014, IEEE Transactions on Biomedical Engineering.

Morphometric and Functional Brain Connectivity Differentiates Chess Masters From Amateur Players

Syed Muhammad Anwar, Ulas Bagci, Harish RaviPrakash, 2020, bioRxiv.

A Robust Segmentation Framework for Spine Trauma Diagnosis

Li Bai, Ulas Bagci, Poay Hoon Lim, 2014 .

Deep Learning for Musculoskeletal Image Analysis

Syed Muhammad Anwar, Drew A. Torigian, Ulas Bagci, 2019, 2019 53rd Asilomar Conference on Signals, Systems, and Computers.

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

Xinjian Chen, Ulas Bagci, Baris Turkbey, 2016, MCV/BAMBI@MICCAI.

Single-Channel Sparse Non-Negative Blind Source Separation Method for Automatic 3-D Delineation of Lung Tumor in PET Images

Xinjian Chen, Ulas Bagci, Fei Shi, 2017, IEEE Journal of Biomedical and Health Informatics.

Deep Convolutional Neural Network based Classification of Alzheimer's Disease using MRI Data

Syed Muhammad Anwar, Ulas Bagci, Ali Nawaz, 2020, 2020 IEEE 23rd International Multitopic Conference (INMIC).

Analysis of Video Retinal Angiography With Deep Learning and Eulerian Magnification

Hassan Foroosh, Ulas Bagci, Rodney LaLonde, 2020, Frontiers in Computer Science.

Automatic Segmentation and Quantification of White and Brown Adipose Tissues from PET/CT Scans

Xinjian Chen, Ulas Bagci, Bradford J. Wood, 2017, IEEE Transactions on Medical Imaging.

RETOUCH: The Retinal OCT Fluid Detection and Segmentation Benchmark and Challenge

Keshab K. Parhi, Ulas Bagci, Jayanthi Sivaswamy, 2019, IEEE Transactions on Medical Imaging.

Automatic Classification of Musical Genres Using Inter-Genre Similarity

Ulas Bagci, Engin Erzin, 2007, IEEE Signal Processing Letters.

Denoising PET Images Using Singular Value Thresholding and Stein's Unbiased Risk Estimate

Ulas Bagci, Daniel J. Mollura, 2013, MICCAI.

Risk Stratification of Lung Nodules Using 3D CNN-Based Multi-task Learning pdf

Ulas Bagci, Qi Song, Kunlin Cao, 2017, IPMI.

Computer-aided detection and quantification of cavitary tuberculosis from CT scans.

Sanjay Jain, Ulas Bagci, Ziyue Xu, 2013, Medical physics.

Automatic response assessment in regions of language cortex in epilepsy patients using ECoG-based functional mapping and machine learning

Ulas Bagci, Milena Korostenskaja, Eduardo Castillo, 2017, 2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

Fully automatic 3D reconstruction of histological images

Li Bai, Ulas Bagci, L. Bai, 2008, 2008 IEEE 16th Signal Processing, Communication and Applications Conference.

Variational Capsule Encoder pdf

Syed Muhammad Anwar, Ulas Bagci, Harish RaviPrakash, 2020, 2020 25th International Conference on Pattern Recognition (ICPR).

Computer-Aided Detection (CADx) for Plastic Deformation Fractures in Pediatric Forearm

Ulas Bagci, Onur Osman, Weizhao Zhao, 2016, Comput. Biol. Medicine.

CIDI-lung-seg: A single-click annotation tool for automatic delineation of lungs from CT scans

Jayaram K. Udupa, Ulas Bagci, Daniel J. Mollura, 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Deep learning beyond cats and dogs: recent advances in diagnosing breast cancer with deep neural networks.

Ulas Bagci, Naji Khosravan, Aliasghar Mortazi, 2018, The British journal of radiology.

“Air Slicer” for Immersive Visualization of Medical Images

Ulas Bagci, Hossein Dehghani, Pradipta Biswas, 2018 .

Multiresolution Elastic Medical Image Registration in Standard Intensity Scale

Li Bai, Ulas Bagci, 2007, XX Brazilian Symposium on Computer Graphics and Image Processing (SIBGRAPI 2007).

Accurate quantification of brown adipose tissue through PET-guided CT image segmentation

Ulas Bagci, Daniel J. Mollura, Awais Mansoor, 2013 .

Fuzzy Connectedness Image Co-segmentation for HybridPET/MRI and PET/CT Scans

Jayaram K. Udupa, Ulas Bagci, Daniel J. Mollura, 2015 .

Simultaneous Detection and Quantification of Retinal Fluid with Deep Learning pdf

Hassan Foroosh, Ulas Bagci, Saad Shaikh, 2017, ArXiv.

Optimally Stabilized PET Image Denoising Using Trilateral Filtering

Ulas Bagci, Daniel J. Mollura, Awais Mansoor, 2014, MICCAI.

Automatic quantification of Tree-in-Bud patterns from CT scans

Albert Wu, Ulas Bagci, Jianhua Yao, 2012, 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI).

Electroencephalography based Classification of Long-term Stress using Psychological Labeling pdf

Syed Muhammad Anwar, Ulas Bagci, Muhammad Majid, 2019, ArXiv.

PAN: Projective Adversarial Network for Medical Image Segmentation pdf

Ulas Bagci, Naji Khosravan, Aliasghar Mortazi, 2019, MICCAI.

Encoding Visual Attributes in Capsules for Explainable Medical Diagnoses

Drew A. Torigian, Ulas Bagci, Rodney LaLonde, 2020, MICCAI.

Eye Tracking for Deep Learning Segmentation Using Convolutional Neural Networks

Ulas Bagci, Bradford J. Wood, Elizabeth A. Krupinski, 2019, Journal of Digital Imaging.

A review on segmentation of positron emission tomography images

Ulas Bagci, Daniel J. Mollura, Awais Mansoor, 2014, Comput. Biol. Medicine.

End to End Brain Fiber Orientation Estimation using Deep Learning pdf

Ulas Bagci, Nandakishore Puttashamachar, U. Bagci, 2018, ArXiv.

S4ND: Single-Shot Single-Scale Lung Nodule Detection pdf

Ulas Bagci, Naji Khosravan, U. Bagci, 2018, MICCAI.

Overall Survival Prediction in Gliomas Using Region-Specific Radiomic Features

Ulas Bagci, Asma Shaheen, Stefano Burigat, 2020, MLCN/RNO-AI@MICCAI.

Relational Reasoning Network (RRN) for Anatomical Landmarking pdf

Ulas Bagci, Murat Sincan, Payal Verma, 2019, ArXiv.

Boosting Classifiers for Music Genre Classification

Ulas Bagci, Engin Erzin, 2006, 2006 IEEE 14th Signal Processing and Communications Applications.

3D automatic anatomy recognition based on iterative graph-cut-ASM

Xinjian Chen, Jayaram K. Udupa, Drew A. Torigian, 2010, Medical Imaging.

Joint segmentation of anatomical and functional images: Applications in quantification of lesions from PET, PET-CT, MRI-PET, and MRI-PET-CT images

Xinjian Chen, Jayaram K. Udupa, Ulas Bagci, 2013, Medical Image Anal..

A collaborative computer aided diagnosis (C‐CAD) system with eye‐tracking, sparse attentional model, and deep learning☆

Ulas Bagci, Baris Turkbey, Bradford J. Wood, 2018, Medical Image Anal..

The role of intensity standardization in medical image registration

Li Bai, Jayaram K. Udupa, Ulas Bagci, 2010, Pattern Recognit. Lett..

Automatic Best Reference Slice Selection for Smooth Volume Reconstruction of a Mouse Brain From Histological Images

Li Bai, Ulas Bagci, L. Bai, 2010, IEEE Transactions on Medical Imaging.

Automatic detection of tree-in-bud patterns for computer assisted diagnosis of respiratory tract infections

Ulas Bagci, Jianhua Yao, Daniel J. Mollura, 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

No-Reference Image Quality Assessment Of T2-Weighted Magnetic Resonance Images In Prostate Cancer Patients

Nathan Lay, Ulas Bagci, Baris Turkbey, 2021, 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI).

Predicting RF Heating of Conductive Leads During Magnetic Resonance Imaging at 1.5 T: A Machine Learning Approach*

Ulas Bagci, Xinlu Chen, Laleh Golestanirad, 2021, 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

Interpretable Deep Model For Predicting Gene-Addicted Non-Small-Cell Lung Cancer In Ct Scans

Simone Palazzo, Concetto Spampinato, Daniela Giordano, 2021, 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI).

Deep Learning Based Staging of Bone Lesions From Computed Tomography Scans

Nathan Lay, Ulas Bagci, Baris Turkbey, 2021, IEEE Access.

Attention-guided analysis of infrastructure damage with semi-supervised deep learning

Ulas Bagci, F. Necati Catbas, Enes Karaaslan, 2021 .

Quick guide on radiology image pre-processing for deep learning applications in prostate cancer research

Ulas Bagci, Baris Turkbey, Samira Masoudi, 2021, Journal of medical imaging.

Hierarchical 3D Feature Learning for Pancreas Segmentation

Simone Palazzo, Ulas Bagci, Ismail Irmakci, 2021, MLMI@MICCAI.

Deformable Capsules for Object Detection pdf

Ulas Bagci, Naji Khosravan, Rodney Lalonde, 2021, ArXiv.

Information Bottleneck Attribution for Visual Explanations of Diagnosis and Prognosis

Concetto Spampinato, Ulas Bagci, Baris Turkbey, 2021, MLMI@MICCAI.

Deep Multi-stage Model for Automated Landmarking of Craniomaxillofacial CT Scans

Simone Palazzo, Concetto Spampinato, Daniela Giordano, 2021, 2020 25th International Conference on Pattern Recognition (ICPR).

Deep Recurrent-Convolutional Model for Automated Segmentation of Craniomaxillofacial CT Scans

Francesca Murabito, Simone Palazzo, Concetto Spampinato, 2021, 2020 25th International Conference on Pattern Recognition (ICPR).

Quantitative Image Quality Comparison of Reduced- and Standard-Dose Dual-Energy Multiphase Chest, Abdomen, and Pelvis CT

Ulas Bagci, Baris Turkbey, Daniel J. Mollura, 2017, Tomography.

Evaluation of candidate vaccine approaches for MERS-CoV

Ulas Bagci, Tongqing Zhou, Yi Zhang, 2015, Nature Communications.

18F-NaF and 18F-FDG PET/CT in Gorham-Stout Disease.

Ulas Bagci, Georgios Z Papadakis, U. Bagci, 2016, Clinical nuclear medicine.

Mycobacterium tuberculosis dysregulates MMP/TIMP balance to drive rapid cavitation and unrestrained bacterial proliferation

Ulas Bagci, Ziyue Xu, Daniel J Mollura, 2015, The Journal of pathology.

Schmorl Nodes Can Cause Increased 68Ga DOTATATE Activity on PET/CT, Mimicking Metastasis in Patients With Neuroendocrine Malignancy.

Ulas Bagci, Georgios Z Papadakis, U. Bagci, 2016, Clinical nuclear medicine.

Automatic Lung Cancer Detection and Diagnosis Using Hand Crafted and Deep Learning Features

Ulas Bagci, Naji Khosravan, Winona Richey, 2016 .

Su1337 - Deep Learning to Diagnose Intraductal Papillary Mucinous Neoplasms (IPMN) with MRI

Ulas Bagci, Michael B. Wallace, Sarfaraz Hussein, 2018 .

Application of 68Ga-DOTA-TATE PET/CT in metastatic neuroendocrine tumor of gastrointestinal origin

Ulas Bagci, Samira M. Sadowski, Georgios Z. Papadakis, 2016, Annals of gastroenterology.

Multiresolution elastic medical image registration in standard intensity scale

Li Bai, Ulas Bagci, 2008 .

Brown adipose tissue detected by PET/CT imaging is associated with less central obesity

Ulas Bagci, Sarfaraz Hussein, Brent A. Neuschwander-Tetri, 2017, Nuclear medicine communications.

Talc Pleurodesis With Intense 18F-FDG Activity But No 68Ga-DOTA-TATE Activity on PET/CT.

Ulas Bagci, Nicholas J Patronas, Georgios Z Papadakis, 2015, Clinical nuclear medicine.

Diffusion based enhancement of PET images for improved diagnostic measurements in clinical nuclear medicine

Ulas Bagci, Daniel J. Mollura, Ziyue Xu, 2014 .

Correlation of anatomical and functional information from PET-CT images

Ulas Bagci, Daniel J. Mollura, Omer Aras, 2012 .

Ectopic ACTH and CRH Co-secreting Tumor Localized by 68Ga-DOTA-TATE PET/CT.

Ulas Bagci, Nicholas J Patronas, Georgios Z Papadakis, 2015, Clinical nuclear medicine.

Serum IGF-1, IGFBP-3 levels and circulating tumor cells (CTCs) in early breast cancer patients.

Ulas Bagci, Vasilios Georgoulias, Georgios Z Papadakis, 2017, Growth hormone & IGF research : official journal of the Growth Hormone Research Society and the International IGF Research Society.

3B11-N, a monoclonal antibody against MERS-CoV, reduces lung pathology in rhesus monkeys following intratracheal inoculation of MERS-CoV Jordan-n3/2012

Ulas Bagci, Jesus Velasco, Joshua C. Johnson, 2016, Virology.

18F-NaF PET/CT in Extensive Melorheostosis of the Axial and Appendicular Skeleton With Soft-Tissue Involvement.

Ulas Bagci, Smita Jha, Kostas Marias, 2017, Clinical nuclear medicine.

Proceedings from the First Global Artificial Intelligence in Gastroenterology and Endoscopy Summit.

Ulas Bagci, Yuichi Mori, Keyvan Farahani, 2020, Gastrointestinal endoscopy.

Avascular Necrosis of the Hips With Increased Activity on 68Ga-DOTATATE PET/CT.

Ulas Bagci, Nicholas J Patronas, Georgios Z Papadakis, 2017, Clinical nuclear medicine.

A computational pipeline for quantification of pulmonary infections in small animal models using serial PET-CT imaging

Ulas Bagci, Brent Foster, Kirsten Miller-Jaster, 2013, EJNMMI Research.

Breast Fibroadenoma With Increased Activity on 68Ga DOTATATE PET/CT.

Ulas Bagci, Nicholas J Patronas, Georgios Z Papadakis, 2017, Clinical nuclear medicine.