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 (Bildverarbeitung für die Medizin, 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)

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 (EUSIPCO, 2021)

Star-Net: a Multi-Branch Convolutional Network for Multiple Source Image Segmentation. - Giuseppe Placidi; Luigi Cinque; Michele Nappi; Matteo Polsinelli; Alessandro Sciarra; Genoveffa Tortora (SITIS, 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)

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)

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 (CBMS, 2023)

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; et al. (CoRR, 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)

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 (Medical Image Anal., 2025)