Blood Vessel Segmentation Using Hybrid Median Filtering and Morphological Transformation. - Neha Gour; Pritee Khanna (SITIS, 2017)

Unsupervised Single-View Depth Estimation for Real Time Inference. - Mohammed Arshad Siddiqui; Arpit Jain; Neha Gour; Pritee Khanna (CVIP (1), 2019)

Speckle denoising in optical coherence tomography images using residual deep convolutional neural network. - Neha Gour; Pritee Khanna (Multim. Tools Appl., 2020)

Automated glaucoma detection using GIST and pyramid histogram of oriented gradients (PHOG) descriptors. - Neha Gour; Pritee Khanna (Pattern Recognit. Lett., 2020)

Multi-class multi-label ophthalmological disease detection using transfer learning based convolutional neural network. - Neha Gour; Pritee Khanna (Biomed. Signal Process. Control., 2021)

Ocular diseases classification using a lightweight CNN and class weight balancing on OCT images. - Neha Gour; Pritee Khanna (Multim. Tools Appl., 2022)

A Lightweight UNet with Inverted Residual Blocks for Diabetic Retinopathy Lesion Segmentation. - Amit Bhati; Karan Choudhary; Samir Jain; Neha Gour; Pritee Khanna; Aparajita Ojha; Naoufel Werghi (CVIP (2), 2023)

A Shallow U-Net with Split-Fused Attention Mechanism for Retinal Vessel Segmentation. - Amit Bhati; Samir Jain; Neha Gour; Pritee Khanna; Aparajita Ojha; Naoufel Werghi (ICIP, 2023)

Facet-Level Segmentation of 3d Textures on Cultural Heritage Objects. - Iyyakutti Iyappan Ganapathi; Syed Sadaf Ali; Muhammad Owais; Neha Gour; Sajid Javed; Naoufel Werghi (ICIP, 2023)

Strengthening Deep Learning Model for Robust Screening of Volumetric Chest Radiographic Scans. - Muhammad Owais; Taimur Hassan; Neha Gour; Iyyakutti Iyappan Ganapathi; Naoufel Werghi (ICIP, 2023)

Discriminative kernel convolution network for multi-label ophthalmic disease detection on imbalanced fundus image dataset. - Amit Bhati; Neha Gour; Pritee Khanna; Aparajita Ojha (Comput. Biol. Medicine, 2023)

Challenges for ocular disease identification in the era of artificial intelligence. - Neha Gour; Muhammad Tanveer 001; Pritee Khanna (Neural Comput. Appl., 2023)

Transformers for autonomous recognition of psychiatric dysfunction via raw and imbalanced EEG signals. - Neha Gour; Taimur Hassan; Muhammad Owais; Iyyakutti Iyappan Ganapathi; Pritee Khanna; Mohamed L. Seghier; Naoufel Werghi (Brain Informatics, 2023)

OSMGE: One-Shot Multiscale Geometric Encoding for Texture Segmentation in 3D Meshes. - Iyyakutti Iyappan Ganapathi; Syed Sadaf Ali; Sajid Javed; Neha Gour; Naoufel Werghi (DICTA, 2024)

A Batteryless Implantable System with Adaptive Near-Field Communication to Study Neurogastroenterological Disorders. - Neha Gour; Anis Ehsani; Amir Javan-Khoshkholgh (EMBC, 2024)

An interpretable dual attention network for diabetic retinopathy grading: IDANet. - Amit Bhati; Neha Gour; Pritee Khanna; Aparajita Ojha; Naoufel Werghi (Artif. Intell. Medicine, 2024)

Autonomous Localization of X-Ray Baggage Threats via Weakly Supervised Learning. - Divya Velayudhan; Abdelfatah Hassan Ahmed; Taimur Hassan; Neha Gour; Muhammad Owais; Mohammed Bennamoun; Ernesto Damiani; Naoufel Werghi (IEEE Trans. Ind. Informatics, 2024)

Semi-supervised contour-driven broad learning system for autonomous segmentation of concealed prohibited baggage items. - Divya Velayudhan; Abdelfatah Hassan Ahmed; Taimur Hassan; Muhammad Owais; Neha Gour; Mohammed Bennamoun; Ernesto Damiani; Naoufel Werghi (Vis. Comput. Ind. Biomed. Art, 2024)

STING-BEE: Towards Vision-Language Model for Real-World X-ray Baggage Security Inspection. - Divya Velayudhan; Abdelfatah Hassan Ahmed; Mohamad Alansari; Neha Gour; Abderaouf Behouch; Taimur Hassan; Syed Talal Wasim; Nabil Maalej; Muzammal Naseer; Juergen Gall; Mohammed Bennamoun; Ernesto Damiani; et al. (CVPR, 2025)

Dynamic Statistical Attention-based lightweight model for Retinal Vessel Segmentation: DyStA-RetNet. - Amit Bhati; Samir Jain; Neha Gour; Pritee Khanna; Aparajita Ojha; Naoufel Werghi (Comput. Biol. Medicine, 2025)