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Solving Challenging Dexterous Manipulation Tasks With Trajectory Optimisation and Reinforcement Learning


Sep 09, 2020
Henry Charlesworth, Giovanni Montana

* 9 pages 

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A persistent homology-based topological loss function for multi-class CNN segmentation of cardiac MRI


Aug 21, 2020
Nick Byrne, James R. Clough, Giovanni Montana, Andrew P. King

* To be presented at the STACOM workshop at MICCAI 2020 

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Follow the Object: Curriculum Learning for Manipulation Tasks with Imagined Goals


Aug 05, 2020
Ozsel Kilinc, Giovanni Montana


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PlanGAN: Model-based Planning With Sparse Rewards and Multiple Goals


Jun 01, 2020
Henry Charlesworth, Giovanni Montana


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Adaptive Experience Selection for Policy Gradient


Feb 17, 2020
Saad Mohamad, Giovanni Montana


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Connectivity-driven Communication in Multi-agent Reinforcement Learning through Diffusion Processes on Graphs


Feb 12, 2020
Emanuele Pesce, Giovanni Montana


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Reinforcement Learning for Robotic Manipulation using Simulated Locomotion Demonstrations


Oct 17, 2019
Ozsel Kilinc, Yang Hu, Giovanni Montana


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Topology-preserving augmentation for CNN-based segmentation of congenital heart defects from 3D paediatric CMR


Aug 23, 2019
Nick Byrne, James R. Clough, Isra Valverde, Giovanni Montana, Andrew P. King

* To be published at MICCAI PIPPI 2019 

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Skill Transfer in Deep Reinforcement Learning under Morphological Heterogeneity


Aug 20, 2019
Yang Hu, Giovanni Montana


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Spectral Multi-scale Community Detection in Temporal Networks with an Application


Jan 29, 2019
Zhana Kuncheva, Giovanni Montana


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Improving Coordination in Multi-Agent Deep Reinforcement Learning through Memory-driven Communication


Jan 12, 2019
Emanuele Pesce, Giovanni Montana

* Deep Reinforcement Learning Workshop, (NeurIPS 2018), Montr\'eal, Canada 

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Multi-agent Deep Reinforcement Learning with Extremely Noisy Observations


Dec 03, 2018
Ozsel Kilinc, Giovanni Montana

* To appear in Deep Reinforcement Learning Workshop, NIPS 2018 

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A Generative Adversarial Model for Right Ventricle Segmentation


Sep 27, 2018
Nicol贸 Savioli, Miguel Silva Vieira, Pablo Lamata, Giovanni Montana

* 9 pages, 8 figures 

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V-FCNN: Volumetric Fully Convolution Neural Network For Automatic Atrial Segmentation


Sep 27, 2018
Nicol贸 Savioli, Giovanni Montana, Pablo Lamata

* 9 pages, 4 figures, In Proceedings of MICCAI 2018 Atrial Segmentation Challenge 

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Automated segmentation on the entire cardiac cycle using a deep learning work-flow


Aug 31, 2018
Nicol贸 Savioli, Miguel Silva Vieira, Pablo Lamata, Giovanni Montana

* 6 pages, 2 figures, published on IEEE Xplore 

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Longitudinal detection of radiological abnormalities with time-modulated LSTM


Jul 16, 2018
Ruggiero Santeramo, Samuel Withey, Giovanni Montana

* DLMIA/[email protected] 2018 
* Submitted to 4th MICCAI Workshop on Deep Learning in Medical Imaging Analysis 

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Temporal Convolution Networks for Real-Time Abdominal Fetal Aorta Analysis with Ultrasound


Jul 11, 2018
Nicolo' Savioli, Silvia Visentin, Erich Cosmi, Enrico Grisan, Pablo Lamata, Giovanni Montana

* 10 pages, 2 figures 

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Learning to detect chest radiographs containing lung nodules using visual attention networks


May 17, 2018
Emanuele Pesce, Petros-Pavlos Ypsilantis, Samuel Withey, Robert Bakewell, Vicky Goh, Giovanni Montana


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Adaptive regularization for Lasso models in the context of non-stationary data streams


Dec 14, 2017
Ricardo Pio Monti, Christoforos Anagnostopoulos, Giovanni Montana

* 20 pages, 3 figures. arXiv admin note: text overlap with arXiv:1511.02187 

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Deep metric learning for multi-labelled radiographs


Dec 11, 2017
Mauro Annarumma, Giovanni Montana

* SAC 2018 

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Random Forest regression for manifold-valued responses


Feb 15, 2017
Dimosthenis Tsagkrasoulis, Giovanni Montana

* 10 pages, 4 figures 

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Learning what to look in chest X-rays with a recurrent visual attention model


Jan 23, 2017
Petros-Pavlos Ypsilantis, Giovanni Montana

* NIPS 2016 Workshop on Machine Learning for Health 

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Predicting brain age with deep learning from raw imaging data results in a reliable and heritable biomarker


Dec 08, 2016
James H Cole, Rudra PK Poudel, Dimosthenis Tsagkrasoulis, Matthan WA Caan, Claire Steves, Tim D Spector, Giovanni Montana


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Streaming regularization parameter selection via stochastic gradient descent


Nov 02, 2016
Ricardo Pio Monti, Romy Lorenz, Robert Leech, Christoforos Anagnostopoulos, Giovanni Montana

* Paper withdrawn as it is no longer up to date 

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Recurrent Convolutional Networks for Pulmonary Nodule Detection in CT Imaging


Sep 30, 2016
Petros-Pavlos Ypsilantis, Giovanni Montana


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Modelling Radiological Language with Bidirectional Long Short-Term Memory Networks


Sep 27, 2016
Savelie Cornegruta, Robert Bakewell, Samuel Withey, Giovanni Montana

* LOUHI 2016 conference proceedings 

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Recurrent Fully Convolutional Neural Networks for Multi-slice MRI Cardiac Segmentation


Aug 13, 2016
Rudra P K Poudel, Pablo Lamata, Giovanni Montana

* MICCAI Workshop RAMBO 2016 

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Studying the brain from adolescence to adulthood through sparse multi-view matrix factorisations


May 09, 2016
Zi Wang, Vyacheslav Karolis, Chiara Nosarti, Giovanni Montana

* Submitted to the 6th International Workshop on Pattern Recognition in Neuroimaging (PRNI) 

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Text-mining the NeuroSynth corpus using Deep Boltzmann Machines


May 01, 2016
Ricardo Pio Monti, Romy Lorenz, Robert Leech, Christoforos Anagnostopoulos, Giovanni Montana

* 4 pages, 1 figure 

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Stopping criteria for boosting automatic experimental design using real-time fMRI with Bayesian optimization


Mar 22, 2016
Romy Lorenz, Ricardo P Monti, Ines R Violante, Aldo A Faisal, Christoforos Anagnostopoulos, Robert Leech, Giovanni Montana

* Oral presentation at MLINI 2015 - 5th NIPS Workshop on Machine Learning and Interpretation in Neuroimaging: Beyond the Scanner 

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