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Sam Ellis
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2020 – today
- 2021
- [c3]Octavio E. Martinez Manzanera, Sam Ellis, Vasileios Baltatzis, Arjun Nair, Loïc Le Folgoc
, Sujal Desai, Ben Glocker, Julia A. Schnabel
:
Patient-Specific 3d Cellular Automata Nodule Growth Synthesis In Lung Cancer Without The Need Of External Data. ISBI 2021: 5-9 - [c2]Vasileios Baltatzis, Loïc Le Folgoc
, Sam Ellis, Octavio E. Martinez Manzanera, Kyriaki-Margarita Bintsi, Arjun Nair, Sujal Desai, Ben Glocker, Julia A. Schnabel
:
The Effect of the Loss on Generalization: Empirical Study on Synthetic Lung Nodule Data. iMIMIC/TDA4MedicalData@MICCAI 2021: 56-64 - [c1]Vasileios Baltatzis, Kyriaki-Margarita Bintsi, Loïc Le Folgoc, Octavio E. Martinez Manzanera, Sam Ellis, Arjun Nair, Sujal Desai, Ben Glocker, Julia A. Schnabel
:
The Pitfalls of Sample Selection: A Case Study on Lung Nodule Classification. PRIME@MICCAI 2021: 201-211 - [i6]Loïc Le Folgoc, Vasileios Baltatzis, Amir Alansary, Sujal Desai, Anand Devaraj, Sam Ellis, Octavio E. Martinez Manzanera, Fahdi Kanavati, Arjun Nair, Julia A. Schnabel, Ben Glocker:
Bayesian analysis of the prevalence bias: learning and predicting from imbalanced data. CoRR abs/2108.00250 (2021) - [i5]Vasileios Baltatzis, Loïc Le Folgoc, Sam Ellis, Octavio E. Martinez Manzanera, Kyriaki-Margarita Bintsi, Arjun Nair, Sujal Desai, Ben Glocker, Julia A. Schnabel:
The Effect of the Loss on Generalization: Empirical Study on Synthetic Lung Nodule Data. CoRR abs/2108.04815 (2021) - [i4]Vasileios Baltatzis, Kyriaki-Margarita Bintsi, Loïc Le Folgoc, Octavio E. Martinez Manzanera, Sam Ellis, Arjun Nair, Sujal Desai, Ben Glocker, Julia A. Schnabel:
The Pitfalls of Sample Selection: A Case Study on Lung Nodule Classification. CoRR abs/2108.05386 (2021) - [i3]Loïc Le Folgoc, Vasileios Baltatzis, Sujal Desai, Anand Devaraj, Sam Ellis, Octavio E. Martinez Manzanera, Arjun Nair, Huaqi Qiu, Julia A. Schnabel, Ben Glocker:
Is MC Dropout Bayesian? CoRR abs/2110.04286 (2021) - 2020
- [j3]Evgueni Ovtchinnikov
, Richard Brown
, Christoph Kolbitsch
, Edoardo Pasca
, Casper O. da Costa-Luis
, Ashley Gillman
, Benjamin A. Thomas
, Nikos Efthimiou
, Johannes Mayer
, Palak Wadhwa, Matthias J. Ehrhardt
, Sam Ellis
, Jakob Sauer Jørgensen
, Julian C. Matthews
, Claudia Prieto
, Andrew J. Reader
, Charalampos Tsoumpas
, Martin J. Turner
, Kris Thielemans
:
SIRF: Synergistic Image Reconstruction Framework. Comput. Phys. Commun. 249: 107087 (2020) - [j2]Andrew J. Reader
, Sam Ellis
:
Bootstrap-Optimised Regularised Image Reconstruction for Emission Tomography. IEEE Trans. Medical Imaging 39(6): 2163-2175 (2020) - [i2]Loïc Le Folgoc, Vasileios Baltatzis, Amir Alansary, Sujal Desai, Anand Devaraj, Sam Ellis, Octavio E. Martinez Manzanera, Fahdi Kanavati, Arjun Nair, Julia A. Schnabel, Ben Glocker:
Bayesian Sampling Bias Correction: Training with the Right Loss Function. CoRR abs/2006.13798 (2020)
2010 – 2019
- 2019
- [i1]Levi N. Naden, Sam Ellis, Shantenu Jha:
MolSSI and BioExcel Workflow Workshop 2018 Report. CoRR abs/1905.11863 (2019)
2000 – 2009
- 2007
- [j1]José E. Moreira, Valentina Salapura, George Almási, Charles Archer, Ralph Bellofatto, Peter Bergner, Randy Bickford, Matthias A. Blumrich, José R. Brunheroto, Arthur A. Bright, Michael Brutman, José G. Castaños, Dong Chen, Paul Coteus, Paul Crumley, Sam Ellis, Thomas Engelsiepen, Alan Gara, Mark Giampapa, Tom Gooding, Shawn Hall, Ruud A. Haring, Roger L. Haskin, Philip Heidelberger, Dirk Hoenicke, Todd Inglett, Gerard V. Kopcsay, Derek Lieber, David Limpert, Patrick McCarthy, Mark Megerian, Michael B. Mundy
, Martin Ohmacht
, Jeff Parker, Rick A. Rand, Don Reed, Ramendra K. Sahoo, Alda Sanomiya, Richard Shok, Brian E. Smith, Gordon G. Stewart, Todd Takken, Pavlos Vranas
, Brian P. Wallenfelt, Michael Blocksome, Joe Ratterman:
The Blue Gene/L Supercomputer: A Hardware and Software Story. Int. J. Parallel Program. 35(3): 181-206 (2007)
Coauthor Index
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