[TMI 2019] Attention to Lesion: Lesion-Aware Convolutional Neural Network for Retinal Optical Coherence Tomography Image Classification

Official repository of the paper "MIRAGE: A multimodal foundation model and benchmark for comprehensive retinal OCT image analysis", published in npj Digital Medicine (2025).

Code for optical coherence refraction tomography (OCRT)

[ICMLA'19] [Tensorflow] Classifying different Retinal Diseases using Deep Learning from Optical Coherence Tomography Images

A synthesis pipeline for annotation-free blood vessel segmentation in cerebral 3D OCTA images. Paper accepted @ MICCAI24.

Tool for the surface annotation of retinal Optical Coherence Tomography (OCT) volumes

Shared Encoder (SE) based Denoising of Optical Coherence Tomography Images

fully convolutional network for automated dispersion compensation in OCT images

Implementation for OCTAve: 2D en face Optical Coherence Tomography Angiography Vessel Segmentation in Weakly-Supervised Learning with Locality Augmentation (IEEE Transactions on Biomedical Engineering))

Official codebase for RetFiner: A Vision-Language Refinement Scheme for Retinal Foundation Models

Optical Coherence Tomography Image Denoising via Multi-input Fully-Convolutional Networks

U-Net based retinal layer segmentation for Cirrus (ZEISS) OCT B-scans with RNFL thickness map computation.

Multimodal Fusion for Deep Learning for Artery-Vein Segmentation using OCT and OCTA. The implementation is using Python and TensorFlow.

[JBHI 2025] Progressive Mining and Dynamic Distillation of Hierarchical Prototypes for Disease Classification and Localisation

A Label-Free and Data-Free Synthesis Engine and Training Framework for Vascular Segmentation of sOCT Data with PyTorch.

[ICIP'20] [Tensorflow] Improving robustness using Joint Supervised-Unsupervised Network for OCT images

This respository contains preprocessing steps taken while making a classifier for OCT - Optical Coherence Tomography - images of AMD and DME eye diseases.

Official repository of the paper "Deep Multimodal Fusion of Data with Heterogeneous Dimensionality via Projective Networks", published in IEEE Journal of Biomedical and Health Informatics (Jan 2024).

Repository containing the code used to evaluate a swallow CNN model trained on datasets created using a per-image or per-volume split strategy

Official implementation of “XOCT: Enhancing OCT to OCTA Translation via Cross-Dimensional Supervised Multi-Scale Feature Learning” (MICCAI 2025)