| Deep learning models for histopathological classification of gastric and colonic epithelial tumours O Iizuka, F Kanavati, K Kato, M Rambeau, K Arihiro, M Tsuneki Scientific reports 10 (1), 1504, 2020 | 324 | 2020 |
| Weakly-supervised learning for lung carcinoma classification using deep learning F Kanavati, G Toyokawa, S Momosaki, M Rambeau, Y Kozuma, F Shoji, ... Scientific reports 10 (1), 9297, 2020 | 163 | 2020 |
| A mathematical-descriptor of tumor-mesoscopic-structure from computed-tomography images annotates prognostic-and molecular-phenotypes of epithelial ovarian cancer H Lu, M Arshad, A Thornton, G Avesani, P Cunnea, ED Curry, F Kanavati, ... Nature communications 10 (1), 764, 2019 | 154 | 2019 |
| A deep learning model for the classification of indeterminate lung carcinoma in biopsy whole slide images F Kanavati, G Toyokawa, S Momosaki, H Takeoka, M Okamoto, ... Scientific reports 11 (1), 8110, 2021 | 40 | 2021 |
| Partial transfusion: on the expressive influence of trainable batch norm parameters for transfer learning F Kanavati, M Tsuneki Medical Imaging with Deep Learning, 338-353, 2021 | 35* | 2021 |
| Supervoxel classification forests for estimating pairwise image correspondences: applications in registration and segmentation F Kanavati, T Tong, K Misawa, M Fujiwara, K Mori, D Rueckert, B Glocker Pattern Recognition 63, 561-569, 2017 | 33 | 2017 |
| A deep learning model for cervical cancer screening on liquid-based cytology specimens in whole slide images F Kanavati, N Hirose, T Ishii, A Fukuda, S Ichihara, M Tsuneki Cancers 14 (5), 1159, 2022 | 32 | 2022 |
| Automatic L3 slice detection in 3D CT images using fully-convolutional networks F Kanavati, S Islam, EO Aboagye, A Rockall arXiv preprint arXiv:1811.09244, 2018 | 18 | 2018 |
| Fully automated deep-learning section-based muscle segmentation from CT images for sarcopenia assessment S Islam, F Kanavati, Z Arain, OF Da Costa, W Crum, EO Aboagye, ... Clinical Radiology 77 (5), e363-e371, 2022 | 15 | 2022 |
| Joint supervoxel classification forest for weakly-supervised organ segmentation F Kanavati, K Misawa, M Fujiwara, K Mori, D Rueckert, B Glocker Machine Learning in Medical Imaging: 8th International Workshop, MLMI 2017 …, 2017 | 6 | 2017 |
| Late Breaking Abstract-Fully automated airway measurement correlates with radiological disease progression in Idiopathic Pulmonary Fibrosis M Roberts, K Kirov, T Mclellan, E Morgan, F Kanavati, D Gallagher, ... European Respiratory Journal 58 (suppl 65), 2021 | 3 | 2021 |
| Deep learning-based segmentation of CT scans predicts disease progression and mortality in IPF M Thillai, JM Oldham, A Ruggiero, F Kanavati, T McLellan, G Saini, ... American Journal of Respiratory and Critical Care Medicine, 2024 | 1 | 2024 |
| -PCA: a unified neural model for linear and nonlinear principal component analysis F Kanavati, L Katsnith, M Tsuneki arXiv preprint arXiv:2311.13580, 2023 | 1 | 2023 |
| Bayesian analysis of the prevalence bias: learning and predicting from imbalanced data LL Folgoc, V Baltatzis, A Alansary, S Desai, A Devaraj, S Ellis, ... arXiv preprint arXiv:2108.00250, 2021 | 1 | 2021 |
| The Addition of Imaging Improves Mortality Prediction in IPF KR Kirov, M Thillai, A Ruggiero, H Manners, F Kanavati, FX Ble, ... D29. TRANSLATIONAL RESEARCH IN IPF, A6487-A6487, 2023 | | 2023 |
| Automated Image Analysis of Vascular and Fibrotic Lung Volumes Shows Association With IPF Mortality KR Kirov, M Thillai, A Ruggiero, H Manners, F Kanavati, FX Ble, ... D29. TRANSLATIONAL RESEARCH IN IPF, A6488-A6488, 2023 | | 2023 |
| Data-driven multivariate cohort selection and automated CT scan lung volume measurement identifies disease progression in Idiopathic Pulmonary Fibrosis (IPF) H Manners, T Mclellan, K Kirov, M Roberts, F Kanavati, G Mckenzie, ... European Respiratory Journal 60 (suppl 66), 2022 | | 2022 |
| GLPG1205 shows reduction in lung volume decline over 26 weeks vs placebo when measured with novel volumetric CT analysis in IPF patients M Thillai, K Kirov, E Santermans, M Roberts, P Molyneaux, F Kanavati, ... European Respiratory Journal 60 (suppl 66), 2022 | | 2022 |
| Bayesian Sampling Bias Correction: Training with the Right Loss Function LL Folgoc, V Baltatzis, A Alansary, S Desai, A Devaraj, S Ellis, ... arXiv preprint arXiv:2006.13798, 2020 | | 2020 |
Masayuki TsunekiMedmain Research, Medmain Inc.Verified email at medmain.com
