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Shahab Aslani
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2020 – today
- 2024
- [j4]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:
Enhancing cancer prediction in challenging screen-detected incident lung nodules using time-series deep learning. Comput. Medical Imaging Graph. 116: 102399 (2024) - 2023
- [i6]Yaozhi Lu, Shahab Aslani, An Zhao, Ahmed H. Shahin, David Barber, Mark Emberton, Daniel C. Alexander, Joseph Jacob:
A hybrid CNN-RNN approach for survival analysis in a Lung Cancer Screening study. CoRR abs/2303.10789 (2023) - [i5]Ekin Yagis, Shahab Aslani, Yashvardhan Jain, Yang Zhou, Shahrokh Rahmani, Joseph Brunet, Alexandre Bellier, Christopher Werlein, Maximilian Ackermann, Danny Jonigk
Deep Learning for Vascular Segmentation and Applications in Phase Contrast Tomography Imaging. CoRR abs/2311.13319 (2023) - 2022
- [j3]Yaozhi Lu
Deep Learning-Based Long Term Mortality Prediction in the National Lung Screening Trial. IEEE Access 10: 34369-34378 (2022) - [c4]Shahab Aslani, Watjana Lilaonitkul, Vaishnavi Gnanananthan, Divya Raj, Bojidar Rangelov, Alexandra L. Young, Yipeng Hu, Paul Taylor, Daniel C. Alexander, Joseph Jacob:
Optimising Chest X-Rays for Image Analysis by Identifying and Removing Confounding Factors. MICAD 2022: 245-254 - [i4]Shahab Aslani, Pavan Alluri, Eyjolfur Gudmundsson, Edward Chandy, John McCabe, Anand Devaraj, Carolyn Horst
Enhancing Cancer Prediction in Challenging Screen-Detected Incident Lung Nodules Using Time-Series Deep Learning. CoRR abs/2203.16606 (2022) - [i3]Shahab Aslani, Watjana Lilaonitkul, Vaishnavi Gnanananthan, Divya Raj, Bojidar Rangelov, Alexandra L. Young
Optimising Chest X-Rays for Image Analysis by Identifying and Removing Confounding Factors. CoRR abs/2208.10320 (2022) - 2020
- [b1]Shahab Aslani:
Deep learning approaches for segmentation of multiple sclerosis lesions on brain MRI. University of Genoa, Italy, 2020 - [c3]Shahab Aslani, Vittorio Murino, Michael Dayan
Scanner Invariant Multiple Sclerosis Lesion Segmentation from MRI. ISBI 2020: 781-785
2010 – 2019
- 2019
- [j2]Shahab Aslani, Michael Dayan
Multi-branch convolutional neural network for multiple sclerosis lesion segmentation. NeuroImage 196: 1-15 (2019) - [c2]Muhammad Usman Akbar, Shahab Aslani, Vittorio Murino, Diego Sona
Multiple Organs Segmentation in Abdomen CT Scans Using a Cascade of CNNs. ICIAP (1) 2019: 509-516 - [i2]Shahab Aslani, Vittorio Murino, Michael Dayan, Roger C. Tam, Diego Sona, Ghassan Hamarneh:
Scanner Invariant Multiple Sclerosis Lesion Segmentation from MRI. CoRR abs/1910.10035 (2019) - 2018
- [c1]Shahab Aslani, Michael Dayan
Deep 2D Encoder-Decoder Convolutional Neural Network for Multiple Sclerosis Lesion Segmentation in Brain MRI. BrainLes@MICCAI (1) 2018: 132-141 - [i1]Shahab Aslani, Michael Dayan, Loredana Storelli, Massimo Filippi, Vittorio Murino, Maria Assunta Rocca, Diego Sona:
Multi-branch Convolutional Neural Network for Multiple Sclerosis Lesion Segmentation. CoRR abs/1811.02942 (2018) - 2016
- [j1]Shahab Aslani, Haldun Sarnel
A new supervised retinal vessel segmentation method based on robust hybrid features. Biomed. Signal Process. Control. 30: 1-12 (2016)
Coauthor Index
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