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ORCIDJohn A. D. Aston
- > Home > Persons > John A. D. Aston
Publications
- 2023
[j24]Sören Dittmer
, Michael Roberts, Julian D. Gilbey, Ander Biguri, Ian Selby, Anna Breger, Matthew Thorpe, Jonathan R. Weir-McCall, Effrossyni Gkrania-Klotsas, Anna Korhonen, Emily Jefferson, Georg Langs, Guang Yang, Helmut Prosch, Jan Stanczuk, Jing Tang, Judith Babar, Lorena Escudero Sanchez, Philip Teare, Mishal Patel, Marcel Wassin, Markus Holzer, Nicholas Walton, Pietro Lió, Tolou Shadbahr, Evis Sala, Jacobus Preller, James H. F. Rudd, John A. D. Aston, Carola-Bibiane Schönlieb:
Navigating the development challenges in creating complex data systems. Nat. Mac. Intell. 5(7): 681-686 (2023)- [i9]Daniel Kreuter, Samuel Tull, Julian D. Gilbey, Jacobus Preller, BloodCounts Consortium, John A. D. Aston, James H. F. Rudd, Suthesh Sivapalaratnam, Carola-Bibiane Schönlieb, Nicholas S. Gleadall, Michael Roberts:
Dis-AE: Multi-domain & Multi-task Generalisation on Real-World Clinical Data. CoRR abs/2306.09177 (2023) - [i8]Sören Dittmer, Michael Roberts, Jacobus Preller, AIX-COVNET Collaboration, James H. F. Rudd, John A. D. Aston, Carola-Bibiane Schönlieb:
Reinterpreting survival analysis in the universal approximator age. CoRR abs/2307.13579 (2023) - [i7]Fan Zhang, Daniel Kreuter, Yichen Chen, Sören Dittmer, Samuel Tull, Tolou Shadbahr, BloodCounts Collaboration, Jacobus Preller, James H. F. Rudd, John A. D. Aston, Carola-Bibiane Schönlieb, Nicholas S. Gleadall, Michael Roberts:
Recent Methodological Advances in Federated Learning for Healthcare. CoRR abs/2310.02874 (2023) - 2022
- [i5]Tolou Shadbahr, Michael Roberts, Jan Stanczuk, Julian D. Gilbey, Philip Teare, Sören Dittmer, Matthew Thorpe, Ramón Viñas Torné, Evis Sala, Pietro Lió, Mishal Patel, AIX-COVNET Collaboration, James H. F. Rudd, Tuomas Mirtti, Antti Rannikko, John A. D. Aston, Jing Tang, Carola-Bibiane Schönlieb:
Classification of datasets with imputed missing values: does imputation quality matter? CoRR abs/2206.08478 (2022) - [i4]Sören Dittmer, Michael Roberts, Julian D. Gilbey, Ander Biguri, AIX-COVNET Collaboration, Jacobus Preller, James H. F. Rudd, John A. D. Aston, Carola-Bibiane Schönlieb:
Navigating the challenges in creating complex data systems: a development philosophy. CoRR abs/2210.13191 (2022) - [i3]Malena Sabate Landman, Ander Biguri, Sepideh Hatamikia, Richard P. Boardman, John A. D. Aston, Carola-Bibiane Schönlieb:
On Krylov Methods for Large Scale CBCT Reconstruction. CoRR abs/2211.14212 (2022) - 2020
- [j22]Noémie Debroux, John A. D. Aston, Fabien Bonardi, Alistair Forbes, Carole Le Guyader, Marina Romanchikova, Carola-Bibiane Schönlieb:
A Variational Model Dedicated to Joint Segmentation, Registration, and Atlas Generation for Shape Analysis. SIAM J. Imaging Sci. 13(1): 351-380 (2020) - 2019
- [i2]Noémie Debroux, John A. D. Aston, Fabien Bonardi, Alistair Forbes, Carole Le Guyader, Marina Romanchikova, Carola Schönlieb:
A Variational Model Dedicated to Joint Segmentation, Registration and Atlas Generation for Shape Analysis. CoRR abs/1907.01840 (2019) - 2018
- [j21]Bin Dai, Yu Wang, John A. D. Aston, Gang Hua, David P. Wipf:
Connections with Robust PCA and the Role of Emergent Sparsity in Variational Autoencoder Models. J. Mach. Learn. Res. 19: 41:1-41:42 (2018) - [j20]Yu Wang, Bin Dai, Gang Hua, John A. D. Aston, David P. Wipf:
Recurrent Variational Autoencoders for Learning Nonlinear Generative Models in the Presence of Outliers. IEEE J. Sel. Top. Signal Process. 12(6): 1615-1627 (2018) - 2017
- [c4]Yu Wang, Bin Dai, Gang Hua, John A. D. Aston, David P. Wipf:
Green Generative Modeling: Recycling Dirty Data using Recurrent Variational Autoencoders. UAI 2017 - [i1]Bin Dai, Yu Wang, John A. D. Aston, Gang Hua, David P. Wipf:
Veiled Attributes of the Variational Autoencoder. CoRR abs/1706.05148 (2017) - 2012
- [j13]John A. D. Aston, Jyh-Ying Peng, Donald E. K. Martin:
Implied distributions in multiple change point problems. Stat. Comput. 22(4): 981-993 (2012) - [c2]Yan Zhou, Adam M. Johansen, John A. D. Aston:
Bayesian model comparison via path-sampling sequential Monte Carlo. SSP 2012: 245-248 - 2009
- [j10]Juin-Der Lee, Hong-Ren Su, Philip E. Cheng, Michelle Liou, John A. D. Aston, Arthur C. Tsai, Cheng-Yu Chen:
MR Image Segmentation Using a Power Transformation Approach. IEEE Trans. Medical Imaging 28(6): 894-905 (2009) - 2008
- [j9]Donald E. K. Martin, John A. D. Aston:
Waiting time distribution of generalized later patterns. Comput. Stat. Data Anal. 52(11): 4879-4890 (2008) - [j8]Jyh-Ying Peng, John A. D. Aston, R. N. Gunn, Cheng-Yuan Liou, John Ashburner:
Dynamic Positron Emission Tomography Data-Driven Analysis Using Sparse Bayesian Learning. IEEE Trans. Medical Imaging 27(9): 1356-1369 (2008) - 2007
- [c1]Hong-Ren Su, Michelle Liou, Philip E. Cheng, John A. D. Aston, Shang-Hong Lai:
Reproducibility Analysis of Event-Related fMRI Experiments Using Laguerre Polynomials. ICONIP (1) 2007: 126-134 - 2006
- [j7]Michelle Liou, Hong-Ren Su, Juin-Der Lee, John A. D. Aston, Arthur C. Tsai, Philip E. Cheng:
A method for generating reproducible evidence in fMRI studies. NeuroImage 29(2): 383-395 (2006) - 2003
- [j4]M. H. Beauchamp, Alain Dagher, John A. D. Aston, Julien Doyon:
Dynamic functional changes associated with cognitive skill learning of an adapted version of the Tower of London task. NeuroImage 20(3): 1649-1660 (2003) - 2002
- [j2]Keith J. Worsley, C. H. Liao, John A. D. Aston, V. Petre, G. H. Duncan, F. Morales, Alan C. Evans:
A General Statistical Analysis for fMRI Data. NeuroImage 15(1): 1-15 (2002) - [j1]C. H. Liao, Keith J. Worsley, Jean-Baptiste Poline, John A. D. Aston, G. H. Duncan, Alan C. Evans:
Estimating the Delay of the fMRI Response. NeuroImage 16(3): 593-606 (2002)
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