Alessandro Sciarra

According to our database, Alessandro Sciarra authored at least 10 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Beyond Nyquist: A Comparative Analysis of 3D Deep Learning Models Enhancing MRI Resolution.

Soumick Chatterjee, Alessandro Sciarra, Max Dünnwald, Anitha Bhat Talagini Ashoka, Mayura Gurjar Cheepinahalli Vasudeva, Shudarsan Saravanan, Venkatesh Thirugnana Sambandham, Pavan Tummala, Steffen Oeltze-Jafra, Oliver Speck, Andreas Nürnberger

J. Imaging, 2024

SMILE-UHURA Challenge - Small Vessel Segmentation at Mesoscopic Scale from Ultra-High Resolution 7T Magnetic Resonance Angiograms.

Soumick Chatterjee, Hendrik Mattern, Marc Dörner, Alessandro Sciarra, Florian Dubost, Hannes Schnurre, Rupali Khatun, Chun-Chih Yu, Tsung-Lin Hsieh, Yi-Shan Tsai, Yi-Zeng Fang, Yung-Ching Yang, Juinn-Dar Huang, Marshall Xu, Siyu Liu, Fernanda L. Ribeiro, Saskia Bollmann, Karthikesh Varma Chintalapati, Chethan Radhakrishna, Sri Chandana Hudukula Ram Kumar, Raviteja Sutrave, Abdul Qayyum, Moona Mazher, Imran Razzak, Cristobal Rodero, Steven Niederren, Fengming Lin, Yan Xia, Jiacheng Wang, Riyu Qiu, Liansheng Wang, Arya Yazdan Panah, Rosana El Jurdi, Guanghui Fu, Janan Arslan, Ghislain Vaillant, Romain Valabrègue, Didier Dormont, Bruno Stankoff, Olivier Colliot, Luisa Vargas, Isai Daniel Chacón, Ioannis Pitsiorlas, Pablo Arbeláez, Maria A. Zuluaga, Stefanie Schreiber, Oliver Speck, Andreas Nürnberger

CoRR, 2024

2023

PULASki: Learning inter-rater variability using statistical distances to improve probabilistic segmentation.

Soumick Chatterjee, Franziska Gaidzik, Alessandro Sciarra, Hendrik Mattern, Gábor Janiga, Oliver Speck, Andreas Nürnberger, Sahani Pathiraja

CoRR, 2023

Graph Model to Represent Color Closeness in Pseudo-color Multimodal MRI.

Alessandro Pio, Giovanna Castellano, Filippo Mignosi, Giuseppe Placidi, Matteo Polsinelli, Alessandro Sciarra, Gennaro Vessio

Proceedings of the 36th IEEE International Symposium on Computer-Based Medical Systems, 2023

2022

Automated SSIM Regression for Detection and Quantification of Motion Artefacts in Brain MR Images.

Alessandro Sciarra, Soumick Chatterjee, Max Dünnwald, Giuseppe Placidi, Andreas Nürnberger, Oliver Speck, Steffen Oeltze-Jafra

CoRR, 2022

StRegA: Unsupervised anomaly detection in brain MRIs using a compact context-encoding variational autoencoder.

Soumick Chatterjee, Alessandro Sciarra, Max Dünnwald, Pavan Tummala, Shubham Kumar Agrawal, Aishwarya Jauhari, Aman Kalra, Steffen Oeltze-Jafra, Oliver Speck, Andreas Nürnberger

Comput. Biol. Medicine, 2022

Star-Net: a Multi-Branch Convolutional Network for Multiple Source Image Segmentation.

Giuseppe Placidi, Luigi Cinque, Michele Nappi, Matteo Polsinelli, Alessandro Sciarra, Genoveffa Tortora

Proceedings of the 16th International Conference on Signal-Image Technology & Internet-Based Systems, 2022

2021

ShuffleUNet: Super resolution of diffusion-weighted MRIs using deep learning.

Soumick Chatterjee, Alessandro Sciarra, Max Dünnwald, Raghava Vinaykanth Mushunuri, Ranadheer Podishetti, Rajatha Nagaraja Rao, Geetha Doddapaneni Gopinath, Steffen Oeltze-Jafra, Oliver Speck, Andreas Nürnberger

Proceedings of the 29th European Signal Processing Conference, 2021

2020

Retrospective Motion Correction of MR Images using Prior-Assisted Deep Learning.

Soumick Chatterjee, Alessandro Sciarra, Max Dünnwald, Steffen Oeltze-Jafra, Andreas Nürnberger, Oliver Speck

CoRR, 2020

Automated Segmentation of the Locus Coeruleus from Neuromelanin-Sensitive 3T MRI Using Deep Convolutional Neural Networks.

Max Dünnwald, Matthew J. Betts, Alessandro Sciarra, Emrah Düzel, Steffen Oeltze-Jafra

Proceedings of the Bildverarbeitung für die Medizin 2020 - Algorithmen - Systeme, 2020