Shahab Aslani

According to our database, Shahab Aslani authored at least 12 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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

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, Claire L. Walsh

CoRR, 2023

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

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, Joseph Jacob

CoRR, 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

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

Proceedings of 2022 International Conference on Medical Imaging and Computer-Aided Diagnosis, 2022

2020

Deep learning approaches for segmentation of multiple sclerosis lesions on brain MRI.

Shahab Aslani

PhD thesis, 2020

Scanner Invariant Multiple Sclerosis Lesion Segmentation from MRI.

Shahab Aslani, Vittorio Murino, Michael Dayan, Roger C. Tam, Diego Sona, Ghassan Hamarneh

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

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

Multiple Organs Segmentation in Abdomen CT Scans Using a Cascade of CNNs.

Muhammad Usman Akbar, Shahab Aslani, Vittorio Murino, Diego Sona

Proceedings of the Image Analysis and Processing - ICIAP 2019, 2019

2018

Deep 2D Encoder-Decoder Convolutional Neural Network for Multiple Sclerosis Lesion Segmentation in Brain MRI.

Shahab Aslani, Michael Dayan, Vittorio Murino, Diego Sona

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2018

2016

A new supervised retinal vessel segmentation method based on robust hybrid features.

Shahab Aslani, Haldun Sarnel

Biomed. Signal Process. Control., 2016