Ulas Bagci
Orcid: 0000-0001-7379-6829
According to our database1,
Ulas Bagci
authored at least 205 papers
between 2005 and 2024.
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Bibliography
2024
AI powered road network prediction with fused low-resolution satellite imagery and GPS trajectory.
Earth Sci. Informatics, April, 2024
COVID-19 Detection From Respiratory Sounds With Hierarchical Spectrogram Transformers.
IEEE J. Biomed. Health Informatics, March, 2024
Federated Learning for Medical Applications: A Taxonomy, Current Trends, Challenges, and Future Research Directions.
IEEE Internet Things J., 2024
SAM-EG: Segment Anything Model with Egde Guidance framework for efficient Polyp Segmentation.
CoRR, 2024
Computation-Efficient Era: A Comprehensive Survey of State Space Models in Medical Image Analysis.
CoRR, 2024
Brain Tumor Segmentation (BraTS) Challenge 2024: Meningioma Radiotherapy Planning Automated Segmentation.
CoRR, 2024
PP-SAM: Perturbed Prompts for Robust Adaptation of Segment Anything Model for Polyp Segmentation.
CoRR, 2024
CoRR, 2024
CoRR, 2024
Harmonized Spatial and Spectral Learning for Robust and Generalized Medical Image Segmentation.
CoRR, 2024
Biomed. Signal Process. Control., 2024
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024
SynergyNet: Bridging the Gap between Discrete and Continuous Representations for Precise Medical Image Segmentation.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024
Beyond Self-Attention: Deformable Large Kernel Attention for Medical Image Segmentation.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024
Proceedings of the IEEE International Conference on Acoustics, 2024
Proceedings of the 37th IEEE International Symposium on Computer-Based Medical Systems, 2024
2023
The past, current, and future of neonatal intensive care units with artificial intelligence: a systematic review.
npj Digit. Medicine, 2023
An automatic segmentation framework for computer-assisted renal scintigraphy procedure.
Medical Biol. Eng. Comput., 2023
Adaptive Smooth Activation for Improved Disease Diagnosis and Organ Segmentation from Radiology Scans.
CoRR, 2023
PGS: Pose-Guided Supervision for Mitigating Clothes-Changing in Person Re-Identification.
CoRR, 2023
Rethinking Intermediate Layers design in Knowledge Distillation for Kidney and Liver Tumor Segmentation.
CoRR, 2023
CoRR, 2023
Leveraging Unlabeled Data for 3D Medical Image Segmentation through Self-Supervised Contrastive Learning.
CoRR, 2023
HCA-Net: Hierarchical Context Attention Network for Intervertebral Disc Semantic Labeling.
CoRR, 2023
CoRR, 2023
A multi-institutional pediatric dataset of clinical radiology MRIs by the Children's Brain Tumor Network.
CoRR, 2023
An objective validation of polyp and instrument segmentation methods in colonoscopy through Medico 2020 polyp segmentation and MedAI 2021 transparency challenges.
CoRR, 2023
CoRR, 2023
Self-Supervised Learning for Organs At Risk and Tumor Segmentation with Uncertainty Quantification.
CoRR, 2023
Ensuring Trustworthy Medical Artificial Intelligence through Ethical and Philosophical Principles.
CoRR, 2023
Vision Transformer for Efficient Chest X-ray and Gastrointestinal Image Classification.
CoRR, 2023
Domain Generalization with Adversarial Intensity Attack for Medical Image Segmentation.
CoRR, 2023
CoRR, 2023
The Past, Current, and Future of Neonatal Intensive Care Units with Artificial Intelligence.
CoRR, 2023
A Critical Appraisal of Data Augmentation Methods for Imaging-Based Medical Diagnosis Applications.
CoRR, 2023
Proceedings of the MultiMedia Modeling - 29th International Conference, 2023
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.
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.
Proceedings of the Medical Imaging with Deep Learning, 2023
A Privacy-Preserving Walk in the Latent Space of Generative Models for Medical Applications.
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.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, 2023
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
Proceedings of the IEEE International Conference on Internet of Things and Intelligence Systems, 2023
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Proceedings of the Gaze Meets Machine Learning Workshop, 2023
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023
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.
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.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
2022
J. Signal Process. Syst., 2022
Extended Reality (XR) for Condition Assessment of Civil Engineering Structures: A Literature Review.
Sensors, 2022
CoRR, 2022
TransResU-Net: Transformer based ResU-Net for Real-Time Colonoscopy Polyp Segmentation.
CoRR, 2022
Out of Distribution Detection, Generalization, and Robustness Triangle with Maximum Probability Theorem.
CoRR, 2022
Proceedings of the Medical Imaging 2022: Image Processing, 2022
Proceedings of the Machine Learning in Medical Imaging - 13th International Workshop, 2022
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Proceedings of the Head and Neck Tumor Segmentation and Outcome Prediction, 2022
Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, 2022
Proceedings of the 12th IEEE Sensor Array and Multichannel Signal Processing Workshop, 2022
Proceedings of the Image Analysis and Processing. ICIAP 2022 Workshops, 2022
Neural Transformers for Intraductal Papillary Mucosal Neoplasms (IPMN) Classification in MRI images.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022
Proceedings of the 35th IEEE International Symposium on Computer-Based Medical Systems, 2022
Video Capsule Endoscopy Classification using Focal Modulation Guided Convolutional Neural Network.
Proceedings of the 35th IEEE International Symposium on Computer-Based Medical Systems, 2022
2021
IEEE Trans. Artif. Intell., 2021
Deep Convolutional Neural Network based Classification of Alzheimer's Disease using MRI data.
CoRR, 2021
IEEE Access, 2021
Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021
Information Bottleneck Attribution for Visual Explanations of Diagnosis and Prognosis.
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.
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.
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>.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
2020
Sensors, 2020
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.
CoRR, 2020
Proceedings of the Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro-oncology, 2020
Proceedings of the Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro-oncology, 2020
Proceedings of the Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro-oncology, 2020
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
Proceedings of the 25th International Conference on Pattern Recognition, 2020
Proceedings of the 25th International Conference on Pattern Recognition, 2020
Deep Recurrent-Convolutional Model for Automated Segmentation of Craniomaxillofacial CT Scans.
Proceedings of the 25th International Conference on Pattern Recognition, 2020
Adipose Tissue Segmentation in Unlabeled Abdomen MRI using Cross Modality Domain Adaptation.
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.
Proceedings of the Brain-Computer Interface Research - A State-of-the-Art Summary 7, 2019
IEEE Trans. Medical Imaging, 2019
Lung and Pancreatic Tumor Characterization in the Deep Learning Era: Novel Supervised and Unsupervised Learning Approaches.
IEEE Trans. Medical Imaging, 2019
IEEE Trans. Medical Imaging, 2019
A Novel Extension to Fuzzy Connectivity for Body Composition Analysis: Applications in Thigh, Brain, and Whole Body Tissue Segmentation.
IEEE Trans. Biomed. Eng., 2019
Evaluation of algorithms for Multi-Modality Whole Heart Segmentation: An open-access grand challenge.
Medical Image Anal., 2019
A collaborative computer aided diagnosis (C-CAD) system with eye-tracking, sparse attentional model, and deep learning.
Medical Image Anal., 2019
J. Digit. Imaging, 2019
CoRR, 2019
Electroencephalography based Classification of Long-term Stress using Psychological Labeling.
CoRR, 2019
Evaluation of Algorithms for Multi-Modality Whole Heart Segmentation: An Open-Access Grand Challenge.
CoRR, 2019
Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019
Proceedings of the Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data, 2019
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
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.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019
Proceedings of the Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics, 2019
2018
Medical Image Anal., 2018
Artificial Intelligence Assisted Infrastructure Assessment Using Mixed Reality Systems.
CoRR, 2018
CoRR, 2018
Holistic classification of CT attenuation patterns for interstitial lung diseases via deep convolutional neural networks.
Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2018
Proceedings of the Machine Learning in Medical Imaging - 9th International Workshop, 2018
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.
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.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
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.
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.
IEEE J. Biomed. Health Informatics, 2017
Medical Image Anal., 2017
CoRR, 2017
Automatic response assessment in regions of language cortex in epilepsy patients using ECoG-based functional mapping and machine learning.
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.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
Proceedings of the Statistical Atlases and Computational Models of the Heart. ACDC and MMWHS Challenges, 2017
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017
TumorNet: Lung nodule characterization using multi-view Convolutional Neural Network with Gaussian Process.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017
Proceedings of the Information Processing in Medical Imaging, 2017
2016
Computer-Aided Detection (CADx) for Plastic Deformation Fractures in Pediatric Forearm.
Comput. Biol. Medicine, 2016
Gaze2Segment: A Pilot Study for Integrating Eye-Tracking Technology into Medical Image Segmentation.
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.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016
2015
IEEE Trans. Medical Imaging, 2015
A hybrid method for airway segmentation and automated measurement of bronchial wall thickness on CT.
Medical Image Anal., 2015
Context Driven Label Fusion for segmentation of Subcutaneous and Visceral Fat in CT Volumes.
CoRR, 2015
Highly precise partial volume correction for PET images: An iterative approach via shape consistency.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015
2014
IEEE Trans. Medical Imaging, 2014
Segmentation of PET Images for Computer-Aided Functional Quantification of Tuberculosis in Small Animal Models.
IEEE Trans. Biomed. Eng., 2014
Comput. Biol. Medicine, 2014
Segmentation Based Denoising of PET Images: An Iterative Approach via Regional Means and Affinity Propagation.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014
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.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014
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.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014
2013
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.
Medical Image Anal., 2013
Synergistic combination of clinical and imaging features predicts abnormal imaging patterns of pulmonary infections.
Comput. Biol. Medicine, 2013
Spatially Constrained Random Walk Approach for Accurate Estimation of Airway Wall Surfaces.
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.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013
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.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013
2012
IEEE Trans. Medical Imaging, 2012
Medical Image Segmentation by Combining Graph Cuts and Oriented Active Appearance Models.
IEEE Trans. Image Process., 2012
IEEE Trans. Biomed. Eng., 2012
Corrigendum to "Computer-assisted detection of infectious lung diseases: A review" [Comput. Med. Imag. Graph. 36(2012) 72-84].
Comput. Medical Imaging Graph., 2012
Comput. Medical Imaging Graph., 2012
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.
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012
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.
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.
Proceedings of the Medical Imaging 2011: Image Processing, 2011
Proceedings of the Medical Imaging 2011: Visualization, 2011
Learning Shape and Texture Characteristics of CT Tree-in-Bud Opacities for CAD Systems.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011
Monitoring pulmonary fibrosis by fusing clinical, physiological, and computed tomography features.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011
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.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011
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.
IEEE Trans. Medical Imaging, 2010
Pattern Recognit. Lett., 2010
Proceedings of the Medical Imaging 2010: Image Processing, 2010
Proceedings of the Medical Imaging 2010: Visualization, 2010
Proceedings of the Medical Imaging 2010: Visualization, 2010
3D automatic anatomy segmentation based on graph cut-oriented active appearance models.
Proceedings of the International Conference on Image Processing, 2010
2009
2008
Proceedings of the Medical Imaging 2008: Image Processing, 2008
Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008
Proceedings of the International Conference on Image Processing, 2008
2007
IEEE Signal Process. Lett., 2007
Proceedings of the SIBGRAPI 2007, 2007
2005
Proceedings of the Computer and Information Sciences, 2005