Lucas Fidon

Identifiers

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Papers (6)

1. Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge cs.CV · 2018 · author #110
2. NiftyNet: a deep-learning platform for medical imaging cs.CV · 2017 · author #4
3. On the Compactness, Efficiency, and Representation of 3D Convolutional Networks: Brain Parcellation as a Pretext Task cs.CV · 2017 · author #3
4. Generalised Wasserstein Dice Score for Imbalanced Multi-class Segmentation using Holistic Convolutional Networks cs.CV · 2017 · author #1
5. ToolNet: Holistically-Nested Real-Time Segmentation of Robotic Surgical Tools cs.CV · 2017 · author #3
6. Scalable multimodal convolutional networks for brain tumour segmentation cs.CV · 2017 · author #1

Mentions

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Frequent Coauthors

• Tom Vercauteren 6 shared papers
• Wenqi Li 6 shared papers
• Sebastien Ourselin 5 shared papers
• Guotai Wang 3 shared papers
• Luis C. Garcia-Peraza-Herrera 3 shared papers
• Jinendra Ekanayake 2 shared papers
• M. Jorge Cardoso 2 shared papers
• Neil Kitchen 2 shared papers
• Zach Eaton-Rosen 2 shared papers
• Aaron Avery 1 shared papers
• Aaron S. Jackson 1 shared papers
• Abhijit Amrutkar 1 shared papers
• Abhishek Mahajan 1 shared papers
• Adel Kermi 1 shared papers
• Adri\`a Casamitjana 1 shared papers
• Ahana Roy Choudhury 1 shared papers
• Aikaterini Kotrotsou 1 shared papers
• Ajeet Vivekanandan 1 shared papers
• Alain Devreker 1 shared papers
• Alain Jungo 1 shared papers