Ulas Bagci

Nikhil Kumar Tomar

CoRR, 2023

GazeGNN: A Gaze-Guided Graph Neural Network for Disease Classification.

[BibT_eX]

[DOI]

Elizabeth A. Krupinski

CoRR, 2023

Self-Supervised Learning for Organs At Risk and Tumor Segmentation with Uncertainty Quantification.

[BibT_eX]

[DOI]

CoRR, 2023

GazeSAM: What You See is What You Segment.

[BibT_eX]

[DOI]

CoRR, 2023

Ensuring Trustworthy Medical Artificial Intelligence through Ethical and Philosophical Principles.

[BibT_eX]

[DOI]

Desta Haileselassie Hagos

Ashish Rauniyar

Abhishek Srivastava

CoRR, 2023

Vision Transformer for Efficient Chest X-ray and Gastrointestinal Image Classification.

[BibT_eX]

[DOI]

CoRR, 2023

Domain Generalization with Adversarial Intensity Attack for Medical Image Segmentation.

[BibT_eX]

[DOI]

CoRR, 2023

Selecting the Best Optimizers for Deep Learning based Medical Image Segmentation.

[BibT_eX]

[DOI]

CoRR, 2023

The Past, Current, and Future of Neonatal Intensive Care Units with Artificial Intelligence.

[BibT_eX]

[DOI]

Elif Keles

CoRR, 2023

A Critical Appraisal of Data Augmentation Methods for Imaging-Based Medical Diagnosis Applications.

[BibT_eX]

[DOI]

CoRR, 2023

Monkeypox Diagnosis With Interpretable Deep Learning.

[BibT_eX]

[DOI]

IEEE Access, 2023

DilatedSegNet: A Deep Dilated Segmentation Network for Polyp Segmentation.

[BibT_eX]

[DOI]

Nikhil Kumar Tomar

Proceedings of the MultiMedia Modeling - 29th International Conference, 2023

Radiomics Boosts Deep Learning Model for IPMN Classification.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023

GastroVision: A Multi-class Endoscopy Image Dataset for Computer Aided Gastrointestinal Disease Detection.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning for Multimodal Healthcare Data, 2023

TransNetR: Transformer-based Residual Network for Polyp Segmentation with Multi-Center Out-of-Distribution Testing.

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging with Deep Learning, 2023

A Privacy-Preserving Walk in the Latent Space of Generative Models for Medical Applications.

[BibT_eX]

[DOI]

Matteo Pennisi

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Laplacian-Former: Overcoming the Limitations of Vision Transformers in Local Texture Detection.

[BibT_eX]

[DOI]

Reza Azad

Amirhossein Kazerouni

Babak Azad

Ehsan Khodapanah Aghdam

Yury Velichko

Dorit Merhof

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

RUPNet: residual upsampling network for real-time polyp segmentation.

[BibT_eX]

[DOI]

Nikhil Kumar Tomar

Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, San Diego, 2023

Ensemble Learning with Residual Transformer for Brain Tumor Segmentation.

[BibT_eX]

[DOI]

Lanhong Yao

Zheyuan Zhang

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Object Localization Using Non-Euclidean Metrics.

[BibT_eX]

[DOI]

Alpay Medetalibeyoglu

Diwei Zhou

Proceedings of the IEEE International Conference on Internet of Things and Intelligence Systems, 2023

Self-supervised Semantic Segmentation: Consistency over Transformation.

[BibT_eX]

[DOI]

Sanaz Karimijafarbigloo

Reza Azad

Amirhossein Kazerouni

Yury Velichko

Dorit Merhof

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

GazeSAM: Interactive Image Segmentation with Eye Gaze and Segment Anything Model.

[BibT_eX]

[DOI]

Proceedings of the Gaze Meets Machine Learning Workshop, 2023

TransResU-Net: A Transformer based ResU-Net for Real-Time Colon Polyp Segmentation.

[BibT_eX]

[DOI]

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

An Efficient Multi-Scale Fusion Network for 3D Organs at Risk (OARs) Segmentation.

[BibT_eX]

[DOI]

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

Gastrointestinal Disease Diagnosis with Hybrid Model of Capsules and CNNs.

[BibT_eX]

[DOI]

Abdullah Said Erdogan

Proceedings of the IEEE International Conference on Electro Information Technology, 2023

Real-time Multi-Class Helmet Violation Detection Using Few-Shot Data Sampling Technique and YOLOv8.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

DeepSegmenter: Temporal Action Localization for Detecting Anomalies in Untrimmed Naturalistic Driving Videos.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

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

[BibT_eX]

[DOI]

J. Signal Process. Syst., 2022

Extended Reality (XR) for Condition Assessment of Civil Engineering Structures: A Literature Review.

[BibT_eX]

[DOI]

Sensors, 2022

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

[BibT_eX]

[DOI]

CoRR, 2022

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

[BibT_eX]

[DOI]

CoRR, 2022

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

[BibT_eX]

[DOI]

Amir Emad Marvasti

Ehsan Emad Marvasti

CoRR, 2022

Enhancing organ at risk segmentation with improved deep neural networks.

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging 2022: Image Processing, 2022

Dynamic Linear Transformer for 3D Biomedical Image Segmentation.

[BibT_eX]

[DOI]

Zheyuan Zhang

Proceedings of the Machine Learning in Medical Imaging - 13th International Workshop, 2022

TGANet: Text-Guided Attention for Improved Polyp Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Multi-scale Fusion Methodologies for Head and Neck Tumor Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Head and Neck Tumor Segmentation and Outcome Prediction, 2022

Detecting COVID-19 from respiratory sound recordings with transformers.

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, San Diego, 2022

Video Analytics in Elite Soccer: A Distributed Computing Perspective.

[BibT_eX]

[DOI]

Proceedings of the 12th IEEE Sensor Array and Multichannel Signal Processing Workshop, 2022

Transformer Based Generative Adversarial Network for Liver Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Image Analysis and Processing. ICIAP 2022 Workshops, 2022

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

[BibT_eX]

[DOI]

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

Multi-Contrast MRI Segmentation Trained on Synthetic Images.

[BibT_eX]

[DOI]

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

Automatic Polyp Segmentation with Multiple Kernel Dilated Convolution Network.

[BibT_eX]

[DOI]

Proceedings of the 35th IEEE International Symposium on Computer-Based Medical Systems, 2022

Video Capsule Endoscopy Classification using Focal Modulation Guided Convolutional Neural Network.

[BibT_eX]

[DOI]

Proceedings of the 35th IEEE International Symposium on Computer-Based Medical Systems, 2022

2021

Maximum Probability Theorem: A Framework for Probabilistic Machine Learning.

[BibT_eX]

[DOI]

IEEE Trans. Artif. Intell., 2021

Capsules for biomedical image segmentation.

[BibT_eX]

[DOI]

Medical Image Anal., 2021

Hierarchical 3D Feature Learning for Pancreas Segmentation.

[BibT_eX]

[DOI]

CoRR, 2021

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

[BibT_eX]

[DOI]

CoRR, 2021

Deep Learning Based Staging of Bone Lesions From Computed Tomography Scans.

[BibT_eX]

[DOI]

IEEE Access, 2021

Hierarchical 3D Feature Learning forPancreas Segmentation.

[BibT_eX]

[DOI]

Sanay Muhammad Umar Saeed

Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021

Information Bottleneck Attribution for Visual Explanations of Diagnosis and Prognosis.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021

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

[BibT_eX]

[DOI]

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

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

[BibT_eX]

[DOI]

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

Predicting RF Heating of Conductive Leads During Magnetic Resonance Imaging at 1.5 T: A Machine Learning Approach<sup>*</sup>.

[BibT_eX]

[DOI]

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020

Instance-Level Microtubule Tracking.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2020

EEG Based Classification of Long-Term Stress Using Psychological Labeling.

[BibT_eX]

[DOI]

Sensors, 2020

Analysis of Video Retinal Angiography With Deep Learning and Eulerian Magnification.

[BibT_eX]

[DOI]

Frontiers Comput. Sci., 2020

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

[BibT_eX]

[DOI]

CoRR, 2020

Capsules for Biomedical Image Segmentation.

[BibT_eX]

[DOI]

CoRR, 2020

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

[BibT_eX]

[DOI]

Proceedings of the Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro-oncology, 2020

Brain Tumor Survival Prediction Using Radiomics Features.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro-oncology, 2020

Overall Survival Prediction in Gliomas Using Region-Specific Radiomic Features.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro-oncology, 2020

Encoding Visual Attributes in Capsules for Explainable Medical Diagnoses.

[BibT_eX]

[DOI]

Drew A. Torigian

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Diagnosing Colorectal Polyps in the Wild with Capsule Networks.

[BibT_eX]

[DOI]

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Variational Capsule Encoder.

[BibT_eX]

[DOI]

Harish RaviPrakash

Syed Muhammad Anwar

Proceedings of the 25th International Conference on Pattern Recognition, 2020

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

[BibT_eX]

[DOI]

Proceedings of the 25th International Conference on Pattern Recognition, 2020

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

[BibT_eX]

[DOI]

Francesca Murabito

Simone Palazzo

Proceedings of the 25th International Conference on Pattern Recognition, 2020

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

[BibT_eX]

[DOI]

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

2019

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

[BibT_eX]

[DOI]

Proceedings of the Brain-Computer Interface Research - A State-of-the-Art Summary 7, 2019

Deep Geodesic Learning for Segmentation and Anatomical Landmarking.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2019

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

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2019

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

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2019

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

[BibT_eX]

[DOI]

Richard G. S. Spencer

Luigi Ferrucci

IEEE Trans. Biomed. Eng., 2019

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

[BibT_eX]

[DOI]

Medical Image Anal., 2019

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

[BibT_eX]

[DOI]

Medical Image Anal., 2019

Eye Tracking for Deep Learning Segmentation Using Convolutional Neural Networks.

[BibT_eX]

[DOI]

Joseph N. Stember

Haydar Celik

Elizabeth A. Krupinski

J. Digit. Imaging, 2019

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

[BibT_eX]

[DOI]

Drew A. Torigian

Sanay Muhammad Umar Saeed

CoRR, 2019

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

[BibT_eX]

[DOI]

CoRR, 2019

Relational Reasoning Network (RRN) for Anatomical Landmarking.

[BibT_eX]

[DOI]

CoRR, 2019

Evaluation of Algorithms for Multi-Modality Whole Heart Segmentation: An Open-Access Grand Challenge.

[BibT_eX]

[DOI]

CoRR, 2019

Instance-Level Microtubule Segmentation Using Recurrent Attention.

[BibT_eX]

[DOI]

CoRR, 2019

Weakly Supervised Segmentation by a Deep Geodesic Prior.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019

Cross-Modality Knowledge Transfer for Prostate Segmentation from CT Scans.

[BibT_eX]

[DOI]

Proceedings of the Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data, 2019

INN: Inflated Neural Networks for IPMN Diagnosis.

[BibT_eX]

[DOI]

Irene Tanner

Katerina Nikiforaki

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

PAN: Projective Adversarial Network for Medical Image Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

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

[BibT_eX]

[DOI]

Proceedings of the Radiomics and Radiogenomics in Neuro-oncology, 2019

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

[BibT_eX]

[DOI]

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

Classification of Perceived Human Stress using Physiological Signals.

[BibT_eX]

[DOI]

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

Deep Learning for Musculoskeletal Image Analysis.

[BibT_eX]

[DOI]

Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019

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

[BibT_eX]

[DOI]

Proceedings of the Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics, 2019

2018

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

[BibT_eX]

[DOI]

Ziyue Xu

Mingchen Gao

Medical Image Anal., 2018

Artificial Intelligence Assisted Infrastructure Assessment Using Mixed Reality Systems.

[BibT_eX]

[DOI]

Enes Karaaslan

Nandakishore Puttashamachar

F. Necati Catbas

CoRR, 2018

End to End Brain Fiber Orientation Estimation using Deep Learning.

[BibT_eX]

[DOI]

CoRR, 2018

Capsules for Object Segmentation.

[BibT_eX]

[DOI]

CoRR, 2018

Supervised and Unsupervised Tumor Characterization in the Deep Learning Era.

[BibT_eX]

[DOI]

Sarfaraz Hussein

Maria M. J. Chuquicusma

CoRR, 2018

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

[BibT_eX]

[DOI]

Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2018

Automatically Designing CNN Architectures for Medical Image Segmentation.

[BibT_eX]

[DOI]

Aliasghar Mortazi

Proceedings of the Machine Learning in Medical Imaging - 9th International Workshop, 2018

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

[BibT_eX]

[DOI]

Naji Khosravan

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

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

[BibT_eX]

[DOI]

Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

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

[BibT_eX]

[DOI]

Maria J. M. Chuquicusma

Sarfaraz Hussein

Jeremy Burt

Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Semi-Supervised Multi-Task Learning for Lung Cancer Diagnosis.

[BibT_eX]

[DOI]

Naji Khosravan

Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

2017

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

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2017

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

[BibT_eX]

[DOI]

IEEE J. Biomed. Health Informatics, 2017

CorteXpert: A model-based method for automatic renal cortex segmentation.

[BibT_eX]

[DOI]

Medical Image Anal., 2017

Simultaneous Detection and Quantification of Retinal Fluid with Deep Learning.

[BibT_eX]

[DOI]

CoRR, 2017

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

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017

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

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

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

[BibT_eX]

[DOI]

Aliasghar Mortazi

Jeremy Burt

Proceedings of the Statistical Atlases and Computational Models of the Heart. ACDC and MMWHS Challenges, 2017

Robust and fully automated segmentation of mandible from CT scans.

[BibT_eX]

[DOI]

Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

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

[BibT_eX]

[DOI]

Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

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

[BibT_eX]

[DOI]

Proceedings of the Information Processing in Medical Imaging, 2017

2016

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

[BibT_eX]

[DOI]

Comput. Medical Imaging Graph., 2016

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

[BibT_eX]

[DOI]

Comput. Biol. Medicine, 2016

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

[BibT_eX]

[DOI]

Proceedings of the Medical Computer Vision and Bayesian and Graphical Models for Biomedical Imaging, 2016

Characterization of Lung Nodule Malignancy Using Hybrid Shape and Appearance Features.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

2015

Correction to "A Generic Approach to Pathological Lung Segmentation".

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2015

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

[BibT_eX]

[DOI]

Medical Image Anal., 2015

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

[BibT_eX]

[DOI]

Sarfaraz Hussein

Aileen Green

Arjun Watane

Medhat M. Osman

CoRR, 2015

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

[BibT_eX]

[DOI]

Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

2014

A Generic Approach to Pathological Lung Segmentation.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2014

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

[BibT_eX]

[DOI]

IEEE Trans. Biomed. Eng., 2014

A review on segmentation of positron emission tomography images.

[BibT_eX]

[DOI]

Comput. Biol. Medicine, 2014

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

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

Optimally Stabilized PET Image Denoising Using Trilateral Filtering.

[BibT_eX]

[DOI]

Awais Mansoor

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

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

[BibT_eX]

[DOI]

Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

Efficient ribcage segmentation from CT scans using shape features.

[BibT_eX]

[DOI]

Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

Near-optimal keypoint sampling for fast pathological lung segmentation.

[BibT_eX]

[DOI]

Awais Mansoor

Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

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

[BibT_eX]

[DOI]

Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

2013

Introducing Willmore Flow Into Level Set Segmentation of Spinal Vertebrae.

[BibT_eX]

[DOI]

Poay Hoon Lim

IEEE Trans. Biomed. Eng., 2013

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

[BibT_eX]

[DOI]

Medical Image Anal., 2013

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

[BibT_eX]

[DOI]

Kirsten Miller-Jaster

Kenneth N. Olivier

Jianhua Yao

Comput. Biol. Medicine, 2013

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

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

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

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

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

[BibT_eX]

[DOI]

Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

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

[BibT_eX]

[DOI]

Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

2012

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

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2012

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

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2012

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

[BibT_eX]

[DOI]

Omer Aras

IEEE Trans. Biomed. Eng., 2012

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

[BibT_eX]

[DOI]

Comput. Medical Imaging Graph., 2012

Computer-assisted detection of infectious lung diseases: A review.

[BibT_eX]

[DOI]

Comput. Medical Imaging Graph., 2012

Co-segmentation of Functional and Anatomical Images.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

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

[BibT_eX]

[DOI]

Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

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

[BibT_eX]

[DOI]

Kirsten Miller-Jaster

Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

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

[BibT_eX]

[DOI]

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

2011

Orientation estimation of anatomical structures in medical images for object recognition.

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging 2011: Image Processing, 2011

Intensity non-standardness affects computer recognition of anatomical structures.

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging 2011: Visualization, 2011

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

[BibT_eX]

[DOI]

Jianhua Yao

Jesus Caban

Tara N. Palmore

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011

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

[BibT_eX]

[DOI]

Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

A graph-theoretic approach for segmentation of PET images.

[BibT_eX]

[DOI]

Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

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

[BibT_eX]

[DOI]

Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

A New Prior Shape Model for Level Set Segmentation.

[BibT_eX]

[DOI]

Poay Hoon Lim

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2011

2010

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

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2010

The role of intensity standardization in medical image registration.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 2010

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

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging 2010: Image Processing, 2010

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

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging 2010: Visualization, 2010

The influence of intensity standardization on medical image registration.

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging 2010: Visualization, 2010

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

[BibT_eX]

[DOI]

Proceedings of the International Conference on Image Processing, 2010

2009

Inter Genre Similarity Modelling For Automatic Music Genre Classification

[BibT_eX]

[DOI]

Engin Erzin

CoRR, 2009

2008

Registration of standardized histological images in feature space.

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging 2008: Image Processing, 2008

Fully automatic 3D reconstruction of histological images.

[BibT_eX]

[DOI]

Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008

Parallel AdaBoost algorithm for Gabor wavelet selection in face recognition.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Image Processing, 2008

2007

Automatic Classification of Musical Genres Using Inter-Genre Similarity.

[BibT_eX]

[DOI]

Engin Erzin

IEEE Signal Process. Lett., 2007

Multiresolution Elastic Medical Image Registration in Standard Intensity Scale.

[BibT_eX]

[DOI]

Proceedings of the SIBGRAPI 2007, 2007

2005

Boosting Classifiers for Music Genre Classification.

[BibT_eX]

[DOI]