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Octavio E. Martinez Manzanera
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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
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 - [i5]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) - [i4]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) - [i3]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) - [i2]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
- [i1]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)
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