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ORCIDFahdi Kanavati
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- affiliation (PhD 2017): Imperial College London, UK
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2020 – today
- 2024
[j2]Fahdi Kanavati, Lucy Katsnith, Masayuki Tsuneki:
σ-PCA: a building block for neural learning of identifiable linear transformations. Trans. Mach. Learn. Res. 2024 (2024)- 2023
- [i9]Fahdi Kanavati, Lucy Katsnith, Masayuki Tsuneki:
σ-PCA: a unified neural model for linear and nonlinear principal component analysis. CoRR abs/2311.13580 (2023) - 2022
- [c4]Masayuki Tsuneki, Fahdi Kanavati:
Inference of captions from histopathological patches. MIDL 2022: 1235-1250 - [i8]Masayuki Tsuneki, Fahdi Kanavati:
Inference of captions from histopathological patches. CoRR abs/2202.03432 (2022) - 2021
- [c3]Fahdi Kanavati, Masayuki Tsuneki:
Partial transfusion: on the expressive influence of trainable batch norm parameters for transfer learning. MIDL 2021: 338-353 - [i7]Fahdi Kanavati, Masayuki Tsuneki
:
Partial transfusion: on the expressive influence of trainable batch norm parameters for transfer learning. CoRR abs/2102.05543 (2021) - [i6]Fahdi Kanavati, Masayuki Tsuneki:
A deep learning model for gastric diffuse-type adenocarcinoma classification in whole slide images. CoRR abs/2104.12478 (2021) - [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) - 2020
- [i4]Fahdi Kanavati, Shah Islam, Zohaib Arain, Eric O. Aboagye, Andrea G. Rockall:
Fully-automated deep learning slice-based muscle estimation from CT images for sarcopenia assessment. CoRR abs/2006.06432 (2020) - [i3]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) - [i2]Fahdi Kanavati, Shin Ichihara, Michael Rambeau, Osamu Iizuka, Koji Arihiro, Masayuki Tsuneki:
Deep learning models for gastric signet ring cell carcinoma classification in whole slide images. CoRR abs/2011.09247 (2020)
2010 – 2019
- 2018
- [i1]Fahdi Kanavati, Shah Islam, Eric O. Aboagye, Andrea G. Rockall:
Automatic L3 slice detection in 3D CT images using fully-convolutional networks. CoRR abs/1811.09244 (2018) - 2017
- [b1]Fahdi Kanavati:
Efficient extraction of semantic information from medical images in large datasets using random forests. Imperial College London, UK, 2017 - [j1]Fahdi Kanavati, Tong Tong, Kazunari Misawa, Michitaka Fujiwara, Kensaku Mori, Daniel Rueckert, Ben Glocker:
Supervoxel classification forests for estimating pairwise image correspondences. Pattern Recognit. 63: 561-569 (2017) - [c2]Fahdi Kanavati, Kazunari Misawa, Michitaka Fujiwara, Kensaku Mori, Daniel Rueckert, Ben Glocker:
Joint Supervoxel Classification Forest for Weakly-Supervised Organ Segmentation. MLMI@MICCAI 2017: 79-87 - 2015
- [c1]Fahdi Kanavati, Tong Tong, Kazunari Misawa, Michitaka Fujiwara, Kensaku Mori, Daniel Rueckert, Ben Glocker:
Supervoxel Classification Forests for Estimating Pairwise Image Correspondences. MLMI 2015: 94-101
Coauthor Index
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