Simone Cammarasana

Generating author description...

All published works

Action	Title	Year	Authors
+	Analysis and comparison of high-performance computing solvers for minimisation problems in signal processing	2024	Simone Cammarasana Giuseppe Patanè
+	Generalized Fuzzy Transform and Non-Local Laplace Operator	2024	Hana Zámečníková Simone Cammarasana Irina Perfilieva Giuseppe Patanè
+	Learning-based Framework for US Signals Super-resolution	2023	Simone Cammarasana Paolo Nicolardi Giuseppe Patanè
+	HPC-based Solvers of Minimisation Problems for Signal Processing	2023	Simone Cammarasana Giuseppe Patanè
+	Learning-Based and Quality Preserving Super-Resolution of Noisy Images	2023	Simone Cammarasana Giuseppe Patanè
+	Evaluating Accuracy and Efficiency of HPC Solvers for Sparse Linear Systems with Applications to PDEs	2022	Antonella Galizia Simone Cammarasana Andrea Clematis Giuseppe Patane'
+	A Universal Deep Learning Framework for Real-Time Denoising of Ultrasound Images.	2021	Simone Cammarasana Paolo Nicolardi Giuseppe Patanè
+	A Universal Deep Learning Framework for Real-Time Denoising of Ultrasound Images	2021	Simone Cammarasana Paolo Nicolardi Giuseppe Patanè

Common Coauthors

Coauthor	Papers Together
Giuseppe Patanè	7
Paolo Nicolardi	3
Giuseppe Patane'	1
Irina Perfilieva	1
Andrea Clematis	1
Antonella Galizia	1
Hana Zámečníková	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	A Direct Search Optimization Method That Models the Objective and Constraint Functions by Linear Interpolation	1994	M. J. D. Powell	1
+	Very Deep Convolutional Networks for Large-Scale Image Recognition	2014	Karen Simonyan Andrew Zisserman	1
+ PDF Chat	Algorithm 778: L-BFGS-B	1997	Ciyou Zhu Richard H. Byrd Peihuang Lu Jorge Nocedal	1
+	Algorithms for minimization without derivatives	1974	D. Anderson	1
+	Estimation of careless error and lucky guess probabilities for dichotomous test items: A psychometric application of a biometric latent class model with random effects	2005	Ali Ünlü	1
+	Principal component analysis	1987	Svante Wold Kim H. Esbensen Paul Geladi	1
+	An efficient method for finding the minimum of a function of several variables without calculating derivatives	1964	M. J. D. Powell	1
+ PDF Chat	Efficient computation of robust low-rank matrix approximations in the presence of missing data using the L<inf>1</inf> norm	2010	Anders Eriksson Anton van den Hengel	1
+	Some methods for classification and analysis of multivariate observations	1967	James B. MacQueen	1
+ PDF Chat	Stochastic ranking for constrained evolutionary optimization	2000	Thomas Philip Rúnarsson Xin Yao	1
+	Bi-CGSTAB: A Fast and Smoothly Converging Variant of Bi-CG for the Solution of Nonsymmetric Linear Systems	1992	H.A. van der Vorst	1
+ PDF Chat	Derivative-free optimization: a review of algorithms and comparison of software implementations	2012	Luis Miguel Rios Nikolaos V. Sahinidis	1
+	Weighted low-rank approximations	2003	Nathan Srebro Tommi Jaakkola	1
+	Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks	2015	Alec Radford Luke Metz Soumith Chintala	1
+ PDF Chat	Hough-CNN: Deep learning for segmentation of deep brain regions in MRI and ultrasound	2017	Fausto Milletarì Seyed‐Ahmad Ahmadi Christine Kroll Annika Plate Verena Rozanski Juliana Maiostre Johannes Levin Olaf Dietrich Birgit Ertl‐Wagner Kai Bötzel	1
+ PDF Chat	Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising	2017	Kai Zhang Wangmeng Zuo Yunjin Chen Deyu Meng Lei Zhang	1
+	Block-Matching Convolutional Neural Network for Image Denoising.	2017	Byeongyong Ahn Nam Ik Cho	1
+ PDF Chat	Noise2Void - Learning Denoising From Single Noisy Images	2019	Alexander Krull Tim-Oliver Buchholz Florian Jug	1
+	Noise2Self: Blind Denoising by Self-Supervision	2019	Joshua Batson Loïc A. Royer	1
+ PDF Chat	Image-to-Image Translation with Conditional Adversarial Networks	2017	Phillip Isola Jun-Yan Zhu Tinghui Zhou Alexei A. Efros	1
+	Anisotropic nonlocal means denoising	2012	Arian Maleki Manjari Narayan Richard G. Baraniuk	1
+	A Preconditioned L-BFGS Algorithm with Application to Molecular Energy Minimization	2004	Lianjun Jiang Richard H. Byrd Elizabeth Eskow Robert B. Schnabel	1
+	Noise2Noise: Learning image restoration without clean data	2018	Jaakko Lehtinen Jacob Munkberg Jon Hasselgren Samuli Laine Tero Karras Miika Aittala Timo Aila	1
+	Biomedical Image Reconstruction: From the Foundations to Deep Neural Networks	2019	Michael T. McCann Michaël Unser	1
+	Development of X-ray spectrometer automatic adjustment system based on global optimization algorithm	2021	Fei Zhan	1
+ PDF Chat	A Quantum-Classical Hybrid Method for Image Classification and Segmentation	2022	Sayantan Pramanik M. Girish Chandra C V Sridhar Aniket Kulkarni Prabin Sahoo Chethan D V Vishwa Hrishikesh Sharma Vidyut Navelkar Sudhakara Poojary Pranav Shah	1
+	Evaluating Accuracy and Efficiency of HPC Solvers for Sparse Linear Systems with Applications to PDEs	2022	Antonella Galizia Simone Cammarasana Andrea Clematis Giuseppe Patane'	1
+	Deep reinforcement learning for computational fluid dynamics on HPC systems	2022	Marius Kurz Philipp Offenhäuser Dominic Viola Oleksandr Shcherbakov Michael Resch Andrea Beck	1
+	A framework for automating the parameter determination of crack growth models	2022	Athanasios Iliopoulos John G. Michopoulos R. Jones A. J. Kinloch Daren Peng	1