Deep learning for 3D vascular segmentation in hierarchical phase contrast tomography: a case study on kidney von Yagis, Ekin, Aslani, Shahab, Jain, Yashvardhan, Zhou, Yang, Rahmani, Shahrokh, Brunet, Joseph, Bellier, Alexandre, Werlein, Christopher, Ackermann, Maximilian, Jonigk, Danny, Tafforeau, Paul, Lee, Peter D., Walsh, Claire L.

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A new supervised retinal vessel segmentation method based on robust hybrid features von Aslani, Shahab, Sarnel, Haldun

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Deep Learning-Based Long Term Mortality Prediction in the National Lung Screening Trial von Lu, Yaozhi, Aslani, Shahab, Emberton, Mark, Alexander, Daniel C., Jacob, Joseph

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Author Correction: Delineating COVID-19 subgroups using routine clinical data identifies distinct in-hospital outcomes von Rangelov, Bojidar, Young, Alexandra, Lilaonitkul, Watjana, Aslani, Shahab, Taylor, Paul, Guðmundsson, Eyjólfur, Yang, Qianye, Hu, Yipeng, Hurst, John R., Hawkes, David J., Jacob, Joseph

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Delineating COVID-19 subgroups using routine clinical data identifies distinct in-hospital outcomes von Rangelov, Bojidar, Young, Alexandra, Lilaonitkul, Watjana, Aslani, Shahab, Taylor, Paul, Guðmundsson, Eyjólfur, Yang, Qianye, Hu, Yipeng, Hurst, John R., Hawkes, David J., Jacob, Joseph

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Multi-task localization of the hemidiaphragms and lung segmentation in portable chest X-ray images of COVID-19 patients von Morís, Daniel I, de Moura, Joaquim, Aslani, Shahab, Jacob, Joseph, Novo, Jorge, Ortega, Marcos

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

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Multi-branch convolutional neural network for multiple sclerosis lesion segmentation von Aslani, Shahab, Dayan, Michael, Storelli, Loredana, Filippi, Massimo, Murino, Vittorio, Rocca, Maria A., Sona, Diego

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Residual Lung Abnormalities after COVID-19 Hospitalization: Interim Analysis of the UKILD Post-COVID-19 Study von Stewart, Iain, Jacob, Joseph, George, Peter M, Molyneaux, Philip L, Porter, Joanna C, Allen, Richard J, Aslani, Shahab, Baillie, J Kenneth, Barratt, Shaney L, Beirne, Paul, Bianchi, Stephen M, Blaikley, John F, Chalmers, James D, Chambers, Rachel C, Chadhuri, Nazia, Coleman, Christopher, Collier, Guilhem, Denneny, Emma K, Docherty, Annemarie, Elneima, Omer, Evans, Rachael A, Fabbri, Laura, Gibbons, Michael A, Gleeson, Fergus V, Gooptu, Bibek, Greening, Neil J, Guio, Beatriz Guillen, Hall, Ian P, Hanley, Neil A, Harris, Victoria, Harrison, Ewen M, Heightman, Melissa, Hillman, Toby E, Horsley, Alex, Houchen-Wolloff, Linzy, Jarrold, Ian, Johnson, Simon R, Jones, Mark G, Khan, Fasihul, Lawson, Rod, Leavy, Olivia, Lone, Nazir, Marks, Michael, McAuley, Hamish, Mehta, Puja, Parekh, Dhruv, Hanley, Karen Piper, Platé, Manuela, Pearl, John, Poinasamy, Krisnah, Quint, Jennifer K, Raman, Betty, Richardson, Matthew, Rivera-Ortega, Pilar, Saunders, Laura, Saunders, Ruth, Semple, Malcolm G, Sereno, Marco, Shikotra, Aarti, Simpson, A John, Singapuri, Amisha, Smith, David J F, Spears, Mark, Spencer, Lisa G, Stanel, Stefan, Thickett, David R, Thompson, A A Roger, Thorpe, Mathew, Walsh, Simon L F, Walker, Samantha, Weatherley, Nicholas David, Weeks, Mark E, Wild, Jim M, Wootton, Dan G, Brightling, Chris E, Ho, Ling-Pei, Wain, Louise V, Jenkins, Gisli R

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Large-scale phenotyping of patients with long COVID post-hospitalization reveals mechanistic subtypes of disease von Liew, Felicity, Efstathiou, Claudia, Fontanella, Sara, Richardson, Matthew, Saunders, Ruth, Swieboda, Dawid, Sidhu, Jasmin K., Ascough, Stephanie, Moore, Shona C., Mohamed, Noura, Nunag, Jose, King, Clara, Leavy, Olivia C., Elneima, Omer, McAuley, Hamish J. C., Shikotra, Aarti, Singapuri, Amisha, Sereno, Marco, Harris, Victoria C., Houchen-Wolloff, Linzy, Greening, Neil J., Lone, Nazir I., Thorpe, Matthew, Thompson, A. A. Roger, Rowland-Jones, Sarah L., Docherty, Annemarie B., Chalmers, James D., Ho, Ling-Pei, Horsley, Alexander, Raman, Betty, Poinasamy, Krisnah, Marks, Michael, Kon, Onn Min, Howard, Luke S., Wootton, Daniel G., Quint, Jennifer K., de Silva, Thushan I., Ho, Antonia, Chiu, Christopher, Harrison, Ewen M., Greenhalf, William, Baillie, J. Kenneth, Semple, Malcolm G., Turtle, Lance, Evans, Rachael A., Wain, Louise V., Brightling, Christopher, Thwaites, Ryan S., Openshaw, Peter J. M.

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

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Deep 2D Encoder-Decoder Convolutional Neural Network for Multiple Sclerosis Lesion Segmentation in Brain MRI von Aslani, Shahab, Dayan, Michael, Murino, Vittorio, Sona, Diego

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Multiple Organs Segmentation in Abdomen CT Scans Using a Cascade of CNNs von Akbar, Muhammad Usman, Aslani, Shahab, Murino, Vitorio, Sona, Diego

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

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

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Deep Learning-Based Long Term Mortality Prediction in the National Lung Screening Trial von Lu, Yaozhi, Aslani, Shahab, Emberton, Mark, Alexander, Daniel C, Jacob, Joseph

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Deep Learning for Vascular Segmentation and Applications in Phase Contrast Tomography Imaging von Yagis, Ekin, Aslani, Shahab, Jain, Yashvardhan, Zhou, Yang, Rahmani, Shahrokh, Brunet, Joseph, Bellier, Alexandre, Werlein, Christopher, Ackermann, Maximilian, Jonigk, Danny, Tafforeau, Paul, Lee, Peter D, Walsh, Claire

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Delineating COVID-19 subgroups using routine clinical data identifies distinct in-hospital outcomes von Rangelov, Bojidar, Young, Alexandra, Lilaonitkul, Watjana, Aslani, Shahab, Taylor, Paul, Guðmundsson, Eyjólfur, Yang, Qianye, Hu, Yipeng, Hurst, John R, Hawkes, David J, Jacob, Joseph, Тhe NCCID Collaborative

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

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Enhancing Cancer Prediction in Challenging Screen-Detected Incident Lung Nodules Using Time-Series Deep Learning von Aslani, Shahab, Alluri, Pavan, Gudmundsson, Eyjolfur, Chandy, Edward, McCabe, John, Devaraj, Anand, Horst, Carolyn, Janes, Sam M, Chakkara, Rahul, Nair, Arjun, Alexander, Daniel C, consortium, SUMMIT, Jacob, Joseph

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