Optical Coherence Tomography

Latest papers 38

0 papers in the last four weeks, down 100% on the four weeks before. 0.0% of all new papers.

OCT-FedSIR: Toward Trustworthy Federated Ophthalmic Learning under Annotation Noise
Sep 13, 2026Sina Gholami, Abdulmoneam Ali, Tania Haghighi +8Federated Learning Noisy-Label Learning
Department of Electrical and Computer Engineering, University of North Carolina at Charlotte, Charlotte, NC, USA · Department of Ophthalmology, Wake Forest School of Medicine, Winston-Salem, NC, USA · Byers Eye Institute at Stanford, Stanford University School of Medicine, Stanford, CA, USA +1
Predictive Multi-Landmark OCT Tracking for Increased Motion Robustness
Sep 10, 2026Konrad Reuter, Suresh Guttikonda, Chaitali Uday Karekar +2Point Tracking Object Pose Estimation
Department of Otorhinolaryngology, Head and Neck Surgery and Oncology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
OCTN: Neural OCT Representations for Robot-Guided Precision Intervention
Sep 6, 2026Ravi Prakash, Ryan P. McNabb, Patrick J. Codd +1Optical Coherence Tomography Implicit Neural Representations
Duke University, Durham, NC 27705 USA · Arizona State University, Phoenix, AZ 85287 USA
Retinal OCTA Phenotyping with LLM Reporting for Alzheimer's Disease
Sep 4, 2026Progga Paromita Dutta, Jeba Maliha, Md Rafiul KabirExplainable Medical Image Analysis Optical Coherence Tomography
Department of Computer Science, Columbia University, New York, NY, USA · School of Engineering and Technology, Central Michigan University, Mount Pleasant, MI, USA
ARCOS: Zero-shot Boundary Localization for Corneal Layer Segmentation Across Optical Coherence Tomography Devices
Sep 3, 2026Nuno Vivas Brás, Benjamin Memmi, Maëlle Bouhassane +4Domain Generalization Optical Coherence Tomography
Laboratoire d’Optique et Biosciences, CNRS, INSERM, ´Ecole polytechnique, Institut Polytechnique de Paris, Palaiseau, France · GRC 32, Transplantation et Th´erapies Innovantes de la Corn´ee, Sorbonne Universit´e, Centre Hospitalier National d’Ophtalmologie des Quinze-Vingts, Paris, France
Automated 2D and 3D Segmentation of AMD and DME Lesions in OCT
Aug 27, 2026Lucia Sundberg, Zhihao Zhao, M. Ali NasseriMedical Image Segmentation 3D Medical Image Segmentation
MAPS Lab, Technical University of Munich, Munich, Germany. · University of Wisconsin-Madison, Madison, Wisconsin, USA.
When the Edit Changes the Patient: Measuring Identity Preservation in Counterfactual Retinal Images
Aug 24, 2026Andrea Posada, Wenke Karbole, Bach Ngoc Doan +9Identity-Preserving Image Generation Medical Image Synthesis
Technical University of Munich and TUM University Hospital, Germany · Munich Center of Machine Learning (MCML), Munich, Germany · Munich Data Science Institute (MDSI), Munich, Germany +4
RetiWave-Mamba: A Dual-Stream Network for Retinal Disease Detection based on Multi-scale Context and Feature-Adaptive Mamba Projection
Aug 18, 2026Cheng Cheng, Jin HongMedical Image Classification Optical Coherence Tomography
School of Artificial Intelligence, Nanchang University, Nanchang 330031, China · School of Information Engineering, Nanchang University, Nanchang 330031, China
In Defense of OCTA: The Reconstruction-Utility Gap in OCT-to-OCTA Synthesis
Aug 16, 2026Michael Chertok, Alon Tiosano, Orly Gal-Or +4Medical Image Synthesis Optical Coherence Tomography
MarkerLeap, Raanana, Israel · Rabin Medical Center, Petah Tikva, Israel · Tel Aviv University, Tel Aviv, Israel
TRIAGE: Risk-Controlled Pseudo-Label Admission for Annotation-Efficient Semi-Supervised Retinal OCT Classification
Aug 14, 2026Md Ashraful Hossen Akash, Shyla Afroge, Abdullah Al Mamun +2Medical Image Classification Pseudo-Labeling
Department of Computer Science & Engineering, Rajshahi University of Engineering & Technology, Rajshahi-6204, Bangladesh · Elite Research Lab LLC, New York, USA · Faculty of Information Science and Technology, Multimedia University, Melaka, Malaysia +1
Label-Free Deep-Tissue Peripheral Nerve Detection with a Handheld Multimodal OCT Probe and NerveDetNet
Aug 13, 2026Yihan Wang, Ruilin You, Shaobai Li +4Medical Imaging Medical Image Segmentation
Wyant College of Optical Sciences, University of Arizona, Tucson, Arizona 85721, USA · Department of Oral & Maxillofacial Surgery, University of Pennsylvania School of Dental Medicine, Philadelphia, PA 19104, USA
Algorithmic statistics of retinal images
Aug 6, 2026Loan Huynh, Ronald Zambrano, Layton Aho +4Medical Imaging Longitudinal Medical Image Analysis
Department of Electrical and Computer Engineering, Drexel University, Philadelphia, PA, USA · Glaucoma Service, Wills Eye Hospital, Philadelphia, PA, USA · School of Biomedical Engineering, Science and Health Systems, Drexel University, Philadelphia, PA, USA +2
DualDiT: A Conditional Dual-Output Diffusion Transformer for Joint OCT Image and Segmentation Mask Generation
Jul 31, 2026Fernando García-Torres, Rocío del Amor, Sandra Morales +4Synthetic Data Augmentation Diffusion Transformer
Instituto Universitario de Investigación en Tecnología Centrada en el Ser Humano (HUMAN-tech), Universitat Politècnica de València, Camino de Vera, s/n, Valencia, 46022, Comunidad Valenciana, Spain · Artikode Intelligence S.L, Camino de Vera, s/n, Valencia, 46022, Comunidad Valenciana, Spain · Biomedical Technology Center of the Medical Faculty, University of Muenster, Mendelstraße 17, Münster, 48149, North Rhine-Westphalia, Germany +1
ReMoE: Report-Guided Mixture-of-Experts for Multimodal OCT/OCTA Anomaly Detection
Jul 31, 2026Zihan Nie, Qincheng Qiao, Muhao Xu +4Mixture of Experts Optical Coherence Tomography
School of Mechanical Engineering, Shandong University, Jinan, China · 2Key Laboratory of High Efficiency and Clean Mechanical Manufacture, Shandong University, Ministry of Education, Jinan, China · 6Airdoc-Monash Research, Monash University, Clayton, VIC 3800, Australia +3
PC-Seg: Progressive Cross-View Consistency for 3D OCT Segmentation from Sparse 2D Annotations
Jul 20, 2026Tsubasa Konno, Takahiro Ninomiya, Yukun Zhou +6Multi-View Consistency Optical Coherence Tomography
Graduate School of Information Sciences, Tohoku University, Japan · Department of Ophthalmology, Graduate School of Medicine, Tohoku University · Institute of Ophthalmology, University College London, UK +3
Can Multimodal Large Language Models Understand OCT?
Jul 18, 2026Baochen Fu, Wenzhi Deng, Baihao Jin +5Medical Imaging Medical Image Analysis
1Shandong University · 4Shandong Provincial Qianfoshan Hospital · University of Science and Technology of China +2
Spatial Normalization for Cross-Domain Retinal Layer Segmentation in Optical Coherence Tomography
Jul 17, 2026Iker Moran-Cavero, Monica Hernandez, Elvira Mayordomo +4Medical Imaging Optical Coherence Tomography
Uncertainty-Aware Multi-Source Retinal Fluid Segmentation in OCT
Jul 9, 2026Animesh KumarMulti-Source Domain Adaptation Medical Imaging
Newcastle University, Newcastle upon Tyne NE1 7RU, United Kingdom
Calibrated Hybrid CNN-Transformer for Retinal OCT Classification
Jul 9, 2026Animesh KumarUncertainty Quantification Optical Coherence Tomography
School of Computing, Newcastle University, UK
Cross-Modal Fusion of OCT and OCT angiography enface for Improved Diagnostics of Diabetic Retinopathy
Jul 4, 2026Rashadul Hasan Badhon, Atalie Carina Thompson, Jennifer I. Lim +2Diabetic Retinopathy Grading Optical Coherence Tomography
Fully Automated High-Precision Segmentation of Retinal Atrophy and Ellipsoid Zone Thickness in OCT: A Reliable Tool for Real-World GA Monitoring
Jun 30, 2026Wolf-Dieter Vogl, Hlynur Skulason, Oliver Leingang +3Medical Imaging Optical Coherence Tomography
RetInSight GmbH, Vienna, Austria · Laboratory of Opthalmic Image Analysis (OPTIMA), Medical University of Vienna, Austria
Test-Time Adaptation in Optical Coherence Tomography Using Trajectory-Aligned Time-Independent Flow
Jun 17, 2026Veit Hucke, Thomas Pinetz, Gregor Reiter +2Flow Matching Medical Imaging
Institute of Artificial Intelligence, Center for Medical Data Science, Medical University of Vienna, Austria · Comprehensive Center for Artificial Intelligence in Medicine, Medical University of Vienna, Austria · Department of Ophthalmology and Optometry, Medical University of Vienna, Austria +1
Deep Learning-assisted AMD Staging based on OCT and OCT Angiography
Jun 3, 2026Yukun Guo, Tristan T. Hormel, An-Lun Wu +4Medical Imaging Optical Coherence Tomography
Casey Eye Institute, Oregon Health & Science University, Portland, OR 97239, USA · Department of Biomedical Engineering, Oregon Health & Science University, Portland, OR 97239, USA · Department of Ophthalmology, Mackay Memorial Hospital, Hsinchu 300044, Taiwan
Three-Dimensional Retinal Microvasculature Restoration in OCT Angiography
Jun 3, 2026Yukun Guo, Min Gao, Tristan T. Hormel +3Medical Imaging 3D Medical Imaging
Casey Eye Institute, Oregon Health & Science University, Portland, OR 97239, USA · Department of Biomedical Engineering, Oregon Health & Science University, Portland, OR 97239, USA
Gaze into the Details: Locality-Sensitive Enhancement for OCTA Retinal Vessel Segmentation
May 20, 2026Tuopusen Huang, Ding Ma, Xiangqian WuMedical Imaging Retinal Vessel Segmentation
Faculty of Computing Harbin Institute of Technology Harbin, China
Physics-Based iOCT Sonification for Real-time Interaction Awareness in Subretinal Injection
May 14, 2026Luis D. Reyes Vargas, Veronica Ruozzi, Andrea K. M. Ross +7Medical Imaging Optical Coherence Tomography
Computer Aided Medical Procedures, Technische Universität München, Munich, Germany · Munich Center for Machine Learning, Munich, Germany · TUM Klinikum Rechts der Isar, Technische Universität München, München, Germany +3
SAIL: Structure-Aware Interpretable Learning for Anatomy-Aligned Post-hoc Explanations in OCT
May 4, 2026Tienyu Chang, Tianhao Li, Ruogu Fang +2Medical Imaging Optical Coherence Tomography
Dept. of BioHealth Informatics, Indiana University Indianapolis, Indiana, USA · School of Information, University of Texas at Austin Austin, Texas, USA · Dept. of Biomedical Engineering, University of Florida Gainesville, Florida, USA +1
Representation learning from OCT images
May 4, 2026Hedi Tabia, Désiré Sidibé, Nawres Khlifa +6Medical Imaging Medical Imaging Foundation Models
IBISC Univ. Evry Université Paris-Saclay · University of Tunis El Manar · ESIEE Paris - Université Gustave Eiffel +2
Anatomy-Aware Unsupervised Detection and Localization of Retinal Abnormalities in Optical Coherence Tomography
Apr 24, 2026Tania Haghighi, Sina Gholami, Hamed Tabkhi +1Medical Imaging Medical Image Anomaly Detection
University of North Carolina at Charlotte Charlotte, NC, USA
Retinal Cyst Detection from Optical Coherence Tomography Images
Apr 12, 2026Abhishek Dharmaratnakar, Aadheeshwar Vijayakumar, Suchand DayanandMedical Image Segmentation Optical Coherence Tomography
Department of Computer Science and Engineering, National Institute of Technology Karnataka, Surathkal, Mangaluru, India

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OCT-FedSIR: Toward Trustworthy Federated Ophthalmic Learning under Annotation Noise

Sina Gholami, Abdulmoneam Ali, Tania Haghighi, Rashadul H. Badhon+7

Department of Electrical and Computer Engineering, University of North Carolina at Charlotte, Charlotte, NC, USA · Department of Ophthalmology, Wake Forest School of Medicine, Winston-Salem, NC, USA · Byers Eye Institute at Stanford, Stanford University School of Medicine, Stanford, CA, USA+1

Federated Learning Noisy-Label Learning Optical Coherence Tomography

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Federated learning enables collaborative model development without centralizing patient data, but annotation reliability at participating institutions cannot always be assumed. In ophthalmic imaging, differences in disease prevalence and class composition can resemble changes caused by corrupted supervision. We introduce OCT-FedSIR, a reliability-aware spectral framework for federated OCT classification under client-dependent annotation noise and heterogeneous data distributions. OCT-FedSIR combines class-balanced spectral estimation, Stage-I logit adjustment, complementary spectral descriptors, selective spectral relabeling, and noise-aware federated optimization. We evaluated the framework on the Kermany, University of Illinois Chicago, and Wake Forest datasets under symmetric and structured asymmetric noise and three levels of non-IID heterogeneity. Across 117 experimental conditions, OCT-FedSIR achieved a mean accuracy of 86.73%, compared with 79.94% for RoFL and 78.75% for FedCorr. It correctly separated clients with original and corrupted annotations across all evaluated conditions, while the original FedSIR identification procedure was less robust, particularly under asymmetric noise. Spectral relabeling recovered 77.2% of corrupted annotations with 91.3% correction precision and a 3.5% false-correction rate. Retaining corrected clients outperformed spectral pruning by 9.30 percentage points on average. These findings show that annotation noise can often be identified and corrected without discarding informative client data.