Sam Ellis - RankMe

12 papers Journal 9Unranked 3

Year	Rank	Type	Title / Venue / Authors
2021	J	`jnl`	Bayesian analysis of the prevalence bias: learning and predicting from imbalanced data. CoRR 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
2021	J	`jnl`	Is MC Dropout Bayesian? CoRR Loïc Le Folgoc, Vasileios Baltatzis, Sujal Desai, Anand Devaraj, Sam Ellis, Octavio E. Martinez Manzanera, Arjun Nair, Huaqi Qiu, Julia A. Schnabel, Ben Glocker
2021	—	`conf`	Patient-Specific 3d Cellular Automata Nodule Growth Synthesis In Lung Cancer Without The Need Of External Data. ISBI Octavio E. Martinez Manzanera, Sam Ellis, Vasileios Baltatzis, Arjun Nair, Loïc Le Folgoc, Sujal Desai, Ben Glocker, Julia A. Schnabel
2021	—	`conf`	The Effect of the Loss on Generalization: Empirical Study on Synthetic Lung Nodule Data. iMIMIC/TDA4MedicalData@MICCAI Vasileios Baltatzis, Loïc Le Folgoc, Sam Ellis, Octavio E. Martinez Manzanera, Kyriaki-Margarita Bintsi, Arjun Nair, Sujal Desai, Ben Glocker, Julia A. Schnabel
2021	J	`jnl`	The Effect of the Loss on Generalization: Empirical Study on Synthetic Lung Nodule Data. CoRR Vasileios Baltatzis, Loïc Le Folgoc, Sam Ellis, Octavio E. Martinez Manzanera, Kyriaki-Margarita Bintsi, Arjun Nair, Sujal Desai, Ben Glocker, Julia A. Schnabel
2021	—	`conf`	The Pitfalls of Sample Selection: A Case Study on Lung Nodule Classification. PRIME@MICCAI Vasileios Baltatzis, Kyriaki-Margarita Bintsi, Loïc Le Folgoc, Octavio E. Martinez Manzanera, Sam Ellis, Arjun Nair, Sujal Desai, Ben Glocker, Julia A. Schnabel
2021	J	`jnl`	The Pitfalls of Sample Selection: A Case Study on Lung Nodule Classification. CoRR Vasileios Baltatzis, Kyriaki-Margarita Bintsi, Loïc Le Folgoc, Octavio E. Martinez Manzanera, Sam Ellis, Arjun Nair, Sujal Desai, Ben Glocker, Julia A. Schnabel
2020	J	`jnl`	Bayesian Sampling Bias Correction: Training with the Right Loss Function. CoRR 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
2020	J	`jnl`	Bootstrap-Optimised Regularised Image Reconstruction for Emission Tomography. IEEE Trans. Medical Imaging Andrew J. Reader, Sam Ellis
2020	J	`jnl`	SIRF: Synergistic Image Reconstruction Framework. Comput. Phys. Commun. 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
2019	J	`jnl`	MolSSI and BioExcel Workflow Workshop 2018 Report. CoRR Levi N. Naden, Sam Ellis, Shantenu Jha
2007	J	`jnl`	The Blue Gene/L Supercomputer: A Hardware and Software Story. Int. J. Parallel Program. 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