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2020 – today
- 2023
[c17]Chenyang Gao, Yue Gu, Francesco Calivá, Yuzong Liu:
Self-Supervised Speech Representation Learning for Keyword-Spotting With Light-Weight Transformers. ICASSP 2023: 1-5- [c16]Sashank Macha, Om Oza, Alex Escott, Francesco Calivá, Robbie Armitano, Santosh Kumar Cheekatmalla, Sree Hari Krishnan Parthasarathi, Yuzong Liu:
Fixed-Point Quantization Aware Training for on-Device Keyword-Spotting. ICASSP 2023: 1-5 - [i9]Sashank Macha, Om Oza, Alex Escott, Francesco Calivá, Robbie Armitano, Santosh Kumar Cheekatmalla, Sree Hari Krishnan Parthasarathi, Yuzong Liu:
Fixed-point quantization aware training for on-device keyword-spotting. CoRR abs/2303.02284 (2023) - [i8]Chenyang Gao, Yue Gu, Francesco Calivá, Yuzong Liu:
Self-supervised speech representation learning for keyword-spotting with light-weight transformers. CoRR abs/2303.04255 (2023) - 2022
- [j3]Francesco Calivá, Sarthak Kamat, Alejandro Morales Martinez
, Sharmila Majumdar, Valentina Pedoia:
Surface spherical encoding and contrastive learning for virtual bone shape aging. Medical Image Anal. 77: 102388 (2022) - 2020
- [j2]Fabio De Sousa Ribeiro, Francesco Calivá, Mark Swainson, Kjartan Gudmundsson, Georgios Leontidis, Stefanos D. Kollias:
Deep Bayesian Self-Training. Neural Comput. Appl. 32(9): 4275-4291 (2020) - [c15]Francesco Calivá, Andrew P. Leynes, Rutwik Shah, Upasana Upadhyay Bharadwaj, Sharmila Majumdar, Peder E. Z. Larson, Valentina Pedoia:
Breaking Speed Limits with Simultaneous Ultra-Fast MRI Reconstruction and Tissue Segmentation. MIDL 2020: 94-110 - [c14]Kaiyang Cheng, Francesco Calivá, Rutwik Shah, Misung Han, Sharmila Majumdar, Valentina Pedoia:
Addressing The False Negative Problem of Deep Learning MRI Reconstruction Models by Adversarial Attacks and Robust Training. MIDL 2020: 121-135 - [i7]Nikan K. Namiri, Io Flament, Bruno Astuto, Rutwik Shah, Radhika Tibrewala, Francesco Calivá, Thomas M. Link, Valentina Pedoia, Sharmila Majumdar:
Hierarchical Severity Staging of Anterior Cruciate Ligament Injuries using Deep Learning. CoRR abs/2003.09089 (2020) - [i6]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, Matthew O'Brien, Sharmila Majumdar, Mathias Perslev, Akshay Pai, Christian Igel, Erik B. Dam, Sibaji Gaj, Mingrui Yang, Kunio Nakamura, Xiaojuan Li, Cem M. Deniz, Vladimir Juras, Ravinder Regatte, Garry Gold, Brian A. Hargreaves, Valentina Pedoia, Akshay S. Chaudhari:
The International Workshop on Osteoarthritis Imaging Knee MRI Segmentation Challenge: A Multi-Institute Evaluation and Analysis Framework on a Standardized Dataset. CoRR abs/2004.14003 (2020) - [i5]Francesco Calivá, Kaiyang Cheng, Rutwik Shah, Valentina Pedoia:
Adversarial Robust Training in MRI Reconstruction. CoRR abs/2011.00070 (2020)
2010 – 2019
- 2019
- [c13]Kaiyang Cheng, Claudia Iriondo, Francesco Calivá, Justin Krogue, Sharmila Majumdar, Valentina Pedoia:
Adversarial Policy Gradient for Deep Learning Image Augmentation. MICCAI (6) 2019: 450-458 - [i4]Francesco Calivá, Claudia Iriondo, Alejandro Morales Martinez, Sharmila Majumdar, Valentina Pedoia:
Distance Map Loss Penalty Term for Semantic Segmentation. CoRR abs/1908.03679 (2019) - [i3]Kaiyang Cheng, Claudia Iriondo, Francesco Calivá, Justin Krogue, Sharmila Majumdar, Valentina Pedoia:
Adversarial Policy Gradient for Deep Learning Image Augmentation. CoRR abs/1909.04108 (2019) - 2018
- [j1]Piotr Chudzik, Somshubra Majumdar, Francesco Calivá, Bashir Al-Diri, Andrew Hunter:
Microaneurysm detection using fully convolutional neural networks. Comput. Methods Programs Biomed. 158: 185-192 (2018) - [c12]Fabio De Sousa Ribeiro, Francesco Calivá, Mark Swainson, Kjartan Gudmundsson, Georgios Leontidis, Stefanos D. Kollias:
An adaptable deep learning system for optical character verification in retail food packaging. EAIS 2018: 1-8 - [c11]Piotr Chudzik, Bashir Al-Diri, Francesco Calivá, Giovanni Ometto, Andrew Hunter:
Exudates Segmentation using Fully Convolutional Neural Network and Auxiliary Codebook. EMBC 2018: 770-773 - [c10]Piotr Chudzik, Bashir Al-Diri, Francesco Calivá, Andrew Hunter:
DISCERN: Generative Framework for Vessel Segmentation using Convolutional Neural Network and Visual Codebook. EMBC 2018: 5934-5937 - [c9]Fabio De Sousa Ribeiro, Liyun Gong, Francesco Calivá, Mark Swainson, Kjartan Gudmundsson, Miao Yu, Georgios Leontidis, Xujiong Ye, Stefanos D. Kollias:
An End-to-End Deep Neural Architecture for Optical Character Verification and Recognition in Retail Food Packaging. ICIP 2018: 2376-2380 - [c8]Francesco Calivá, Fabio De Sousa Ribeiro, Antonios Mylonakis, Christophe Demazière, Paolo Vinai, Georgios Leontidis, Stefanos D. Kollias:
A Deep Learning Approach to Anomaly Detection in Nuclear Reactors. IJCNN 2018: 1-8 - [c7]Piotr Chudzik, Somshubra Majumdar, Francesco Calivá, Bashir Al-Diri, Andrew Hunter:
Microaneurysm detection using deep learning and interleaved freezing. Medical Imaging: Image Processing 2018: 105741I - [c6]Piotr Chudzik, Somshubra Majumdar, Francesco Calivá, Bashir Al-Diri, Andrew Hunter:
Exudate segmentation using fully convolutional neural networks and inception modules. Medical Imaging: Image Processing 2018: 1057430 - [c5]Fabio De Sousa Ribeiro, Francesco Calivá, Dionysios Chionis, Abdelhamid Dokhane, Antonios Mylonakis, Christophe Demazière, Georgios Leontidis, Stefanos D. Kollias:
Towards a Deep Unified Framework for Nuclear Reactor Perturbation Analysis. SSCI 2018: 120-127 - [i2]Fabio De Sousa Ribeiro, Francesco Calivá, Dionysios Chionis, Abdelhamid Dokhane, Antonios Mylonakis, Christophe Demazière, Georgios Leontidis, Stefanos D. Kollias:
Towards a Deep Unified Framework for Nuclear Reactor Perturbation Analysis. CoRR abs/1807.10096 (2018) - [i1]Fabio De Sousa Ribeiro, Francesco Calivá, Mark Swainson, Kjartan Gudmundsson, Georgios Leontidis, Stefanos D. Kollias:
Deep Bayesian Uncertainty Estimation for Adaptation and Self-Annotation of Food Packaging Images. CoRR abs/1812.01681 (2018) - 2017
- [c4]Francesco Calivá, Andrew Hunter, Piotr Chudzik, Giovanni Ometto, Luca Antiga, Bashir Al-Diri:
A fluid-dynamic based approach to reconnect the retinal vessels in fundus photography. EMBC 2017: 360-364 - [c3]Piotr Chudzik, Bashir Al-Diri, Francesco Calivá, Giovanni Ometto, Andrew Hunter:
Learning deep similarity in fundus photography. Medical Imaging: Image Processing 2017: 101332A - 2016
- [c2]Giovanni Ometto, Francesco Calivá, Bashir Al-Diri, Toke Bek, Andrew Hunter:
Automated detection of retinal landmarks for the identification of clinically relevant regions in fundus photography. Medical Imaging: Image Processing 2016: 978429 - 2015
- [c1]Francesco Calivá, Matteo Aletti, Bashir Al-Diri, Andrew Hunter:
A new tool to connect blood vessels in fundus retinal images. EMBC 2015: 4343-4346
Coauthor Index
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