A new supervised retinal vessel segmentation method based on robust hybrid features. - Shahab Aslani; Haldun Sarnel (Biomed. Signal Process. Control., 2016)

Deep 2D Encoder-Decoder Convolutional Neural Network for Multiple Sclerosis Lesion Segmentation in Brain MRI. - Shahab Aslani; Michael Dayan; Vittorio Murino; Diego Sona (BrainLes@MICCAI (1), 2018)

Multiple Organs Segmentation in Abdomen CT Scans Using a Cascade of CNNs. - Muhammad Usman Akbar; Shahab Aslani; Vittorio Murino; Diego Sona (ICIAP (1), 2019)

Multi-branch convolutional neural network for multiple sclerosis lesion segmentation. - Shahab Aslani; Michael Dayan; Loredana Storelli; Massimo Filippi; Vittorio Murino; Maria Assunta Rocca; Diego Sona (NeuroImage, 2019)

Scanner Invariant Multiple Sclerosis Lesion Segmentation from MRI. - Shahab Aslani; Vittorio Murino; Michael Dayan; Roger C. Tam; Diego Sona; Ghassan Hamarneh (ISBI, 2020)

Deep learning approaches for segmentation of multiple sclerosis lesions on brain MRI. - Shahab Aslani (2020)

Optimising Chest X-Rays for Image Analysis by Identifying and Removing Confounding Factors. - Shahab Aslani; Watjana Lilaonitkul; Vaishnavi Gnanananthan; Divya Raj; Bojidar Rangelov; Alexandra L. Young; Yipeng Hu; Paul Taylor; Daniel C. Alexander; Joseph Jacob (MICAD, 2022)

Deep Learning-Based Long Term Mortality Prediction in the National Lung Screening Trial. - Yaozhi Lu; Shahab Aslani; Mark Emberton; Daniel C. Alexander; Joseph Jacob (IEEE Access, 2022)

Enhancing Cancer Prediction in Challenging Screen-Detected Incident Lung Nodules Using Time-Series Deep Learning. - Shahab Aslani; Pavan Alluri; Eyjolfur Gudmundsson; Edward Chandy; John McCabe; Anand Devaraj; Carolyn Horst; Sam M. Janes; Rahul Chakkara; Arjun Nair; Daniel C. Alexander; SUMMIT Consortium; et al. (CoRR, 2022)

A hybrid CNN-RNN approach for survival analysis in a Lung Cancer Screening study. - Yaozhi Lu; Shahab Aslani; An Zhao; Ahmed H. Shahin; David Barber; Mark Emberton; Daniel C. Alexander; Joseph Jacob (CoRR, 2023)

Deep Learning for Vascular Segmentation and Applications in Phase Contrast Tomography Imaging. - Ekin Yagis; Shahab Aslani; Yashvardhan Jain; Yang Zhou; Shahrokh Rahmani; Joseph Brunet; Alexandre Bellier; Christopher Werlein; Maximilian Ackermann; Danny Jonigk; Paul Tafforeau; Peter D. Lee; et al. (CoRR, 2023)

Spectral Transition Evaluation and Heatmap Extraction for Deep Learning Classifiers. - Mehran Azimbagirad; Pardeep Vasudev; Adam Szmul; John McCabe; Shahab Aslani; Niccolò McConnell; Brintha Selvarajah; Amyn Bhamani; Daniel C. Alexander; Joseph Jacob (MICAD, 2024)

Enhancing cancer prediction in challenging screen-detected incident lung nodules using time-series deep learning. - Shahab Aslani; Pavan Alluri; Eyjolfur Gudmundsson; Edward Chandy; John McCabe; Anand Devaraj; Carolyn Horst; Sam M. Janes; Rahul Chakkara; Daniel C. Alexander; Arjun Nair; Joseph Jacob (Comput. Medical Imaging Graph., 2024)

A computationally frugal open-source foundation model for thoracic disease detection in lung cancer screening programs. - Niccolò McConnell; Pardeep Vasudev; Daisuke Yamada; Daryl Cheng; Mehran Azimbagirad; John McCabe; Shahab Aslani; Ahmed H. Shahin; Yukun Zhou; SUMMIT Consortium; André Altmann; Yipeng Hu; et al. (CoRR, 2025)