A new tool to connect blood vessels in fundus retinal images. - Francesco Calivá; Matteo Aletti; Bashir Al-Diri; Andrew Hunter (EMBC, 2015)

Automated detection of retinal landmarks for the identification of clinically relevant regions in fundus photography. - Giovanni Ometto; Francesco Calivá; Bashir Al-Diri; Toke Bek; Andrew Hunter (Image Processing, 2016)

A fluid-dynamic based approach to reconnect the retinal vessels in fundus photography. - Francesco Calivá; Andrew Hunter; Piotr Chudzik; Giovanni Ometto; Luca Antiga; Bashir Al-Diri (EMBC, 2017)

Learning deep similarity in fundus photography. - Piotr Chudzik; Bashir Al-Diri; Francesco Calivá; Giovanni Ometto; Andrew Hunter (Image Processing, 2017)

An adaptable deep learning system for optical character verification in retail food packaging. - Fabio De Sousa Ribeiro; Francesco Calivá; Mark Swainson; Kjartan Gudmundsson; Georgios Leontidis; Stefanos D. Kollias (EAIS, 2018)

DISCERN: Generative Framework for Vessel Segmentation using Convolutional Neural Network and Visual Codebook. - Piotr Chudzik; Bashir Al-Diri; Francesco Calivá; Andrew Hunter (EMBC, 2018)

Exudates Segmentation using Fully Convolutional Neural Network and Auxiliary Codebook. - Piotr Chudzik; Bashir Al-Diri; Francesco Calivá; Giovanni Ometto; Andrew Hunter (EMBC, 2018)

An End-to-End Deep Neural Architecture for Optical Character Verification and Recognition in Retail Food Packaging. - Fabio De Sousa Ribeiro; Liyun Gong; Francesco Calivá; Mark Swainson; Kjartan Gudmundsson; Miao Yu 001; Georgios Leontidis; Xujiong Ye; Stefanos D. Kollias (ICIP, 2018)

A Deep Learning Approach to Anomaly Detection in Nuclear Reactors. - Francesco Calivá; Fabio De Sousa Ribeiro; Antonios Mylonakis; Christophe Demazière; Paolo Vinai; Georgios Leontidis; Stefanos D. Kollias (IJCNN, 2018)

Microaneurysm detection using deep learning and interleaved freezing. - Piotr Chudzik; Somshubra Majumdar; Francesco Calivá; Bashir Al-Diri; Andrew Hunter (Image Processing, 2018)

Exudate segmentation using fully convolutional neural networks and inception modules. - Piotr Chudzik; Somshubra Majumdar; Francesco Calivá; Bashir Al-Diri; Andrew Hunter (Image Processing, 2018)

Towards a Deep Unified Framework for Nuclear Reactor Perturbation Analysis. - Fabio De Sousa Ribeiro; Francesco Calivá; Dionysios Chionis; Abdelhamid Dokhane; Antonios Mylonakis; Christophe Demazière; Georgios Leontidis; Stefanos D. Kollias (SSCI, 2018)

Microaneurysm detection using fully convolutional neural networks. - Piotr Chudzik; Somshubra Majumdar; Francesco Calivá; Bashir Al-Diri; Andrew Hunter (Comput. Methods Programs Biomed., 2018)

Deep Bayesian Uncertainty Estimation for Adaptation and Self-Annotation of Food Packaging Images. - Fabio De Sousa Ribeiro; Francesco Calivá; Mark Swainson; Kjartan Gudmundsson; Georgios Leontidis; Stefanos D. Kollias (CoRR, 2018)

Adversarial Policy Gradient for Deep Learning Image Augmentation. - Kaiyang Cheng; Claudia Iriondo; Francesco Calivá; Justin Krogue; Sharmila Majumdar; Valentina Pedoia (MICCAI (6), 2019)

Distance Map Loss Penalty Term for Semantic Segmentation. - Francesco Calivá; Claudia Iriondo; Alejandro Morales Martinez; Sharmila Majumdar; Valentina Pedoia (CoRR, 2019)

Breaking Speed Limits with Simultaneous Ultra-Fast MRI Reconstruction and Tissue Segmentation. - Francesco Calivá; Andrew P. Leynes; Rutwik Shah; Upasana Upadhyay Bharadwaj; Sharmila Majumdar; Peder E. Z. Larson; Valentina Pedoia (MIDL, 2020)

Addressing The False Negative Problem of Deep Learning MRI Reconstruction Models by Adversarial Attacks and Robust Training. - Kaiyang Cheng; Francesco Calivá; Rutwik Shah; Misung Han; Sharmila Majumdar; Valentina Pedoia (MIDL, 2020)

Hierarchical Severity Staging of Anterior Cruciate Ligament Injuries using Deep Learning. - Nikan K. Namiri; Io Flament; Bruno Astuto; Rutwik Shah; Radhika Tibrewala; Francesco Calivá; Thomas M. Link; Valentina Pedoia; Sharmila Majumdar (CoRR, 2020)

The International Workshop on Osteoarthritis Imaging Knee MRI Segmentation Challenge: A Multi-Institute Evaluation and Analysis Framework on a Standardized Dataset. - Arjun D. Desai; Francesco Calivá; Claudia Iriondo; Naji Khosravan; Aliasghar Mortazi; Sachin Jambawalikar; Drew A. Torigian; Jutta Ellermann; Mehmet Akçakaya; Ulas Bagci; Radhika Tibrewala; Io Flament; et al. (CoRR, 2020)

Adversarial Robust Training in MRI Reconstruction. - Francesco Calivá; Kaiyang Cheng; Rutwik Shah; Valentina Pedoia (CoRR, 2020)

Deep Bayesian Self-Training. - Fabio De Sousa Ribeiro; Francesco Calivá; Mark Swainson; Kjartan Gudmundsson; Georgios Leontidis; Stefanos D. Kollias (Neural Comput. Appl., 2020)

Surface spherical encoding and contrastive learning for virtual bone shape aging. - Francesco Calivá; Sarthak Kamat; Alejandro Morales Martinez; Sharmila Majumdar; Valentina Pedoia (Medical Image Anal., 2022)

Self-Supervised Speech Representation Learning for Keyword-Spotting With Light-Weight Transformers. - Chenyang Gao; Yue Gu; Francesco Calivá; Yuzong Liu (ICASSP, 2023)

Fixed-Point Quantization Aware Training for on-Device Keyword-Spotting. - Sashank Macha; Om Oza; Alex Escott; Francesco Calivá; Robbie Armitano; Santosh Kumar Cheekatmalla; Sree Hari Krishnan Parthasarathi; Yuzong Liu (ICASSP, 2023)