Manfredo Atzori

75 papers C 2Journal 37Unranked 33

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Retrospective Matching Network-Based One-Shot Multi-Object Tracking Method for UAV. Concurr. Comput. Pract. Exp. Hui Zhao, Lei Zhang, Yixiao Tan, Sentao Xu, Manfredo Atzori, Henning Müller
2026	J	`jnl`	Token-UNet: A New Case for Transformers Integration in Efficient and Interpretable 3D UNets for Brain Imaging Segmentation. CoRR Louis Fabrice Tshimanga, Andrea Zanola, Federico Del Pup, Manfredo Atzori
2026	J	`jnl`	TransformEEG: Towards improving model generalizability in deep learning-based EEG Parkinson's disease detection. Neurocomputing Federico Del Pup, Riccardo Brun, Filippo Iotti, Edoardo Paccagnella, Mattia Pezzato, Sabrina Bertozzo, Andrea Zanola, Louis Fabrice Tshimanga, Henning Müller, Manfredo Atzori
2025	J	`jnl`	Behavioral Clusters and Lesion Distributions in Ischemic Stroke, Based on NIHSS Similarity Network. J. Heal. Informatics Res. Louis Fabrice Tshimanga, Andrea Zanola, Silvia Facchini, Antonio Luigi Bisogno, Lorenzo Pini, Manfredo Atzori, Maurizio Corbetta
2025	J	`jnl`	Improving sEMG signals recognition accuracy using 3D compression and broad learning system. Signal Image Video Process. Lei Zhang, Hui Zhao, Sha Qi, Huarui Bian, Yunhang Wu, Shaobo Gu, Manfredo Atzori, Henning Müller, Yabin Cao
2025	J	`jnl`	The role of data partitioning on the performance of EEG-based deep learning models in supervised cross-subject analysis: A preliminary study. Comput. Biol. Medicine Federico Del Pup, Andrea Zanola, Louis Fabrice Tshimanga, Alessandra Bertoldo, Livio Finos, Manfredo Atzori
2025	J	`jnl`	The role of data partitioning on the performance of EEG-based deep learning models in supervised cross-subject analysis: a preliminary study. CoRR Federico Del Pup, Andrea Zanola, Louis Fabrice Tshimanga, Alessandra Bertoldo, Livio Finos, Manfredo Atzori
2025	J	`jnl`	TransformEEG: Towards Improving Model Generalizability in Deep Learning-based EEG Parkinson's Disease Detection. CoRR Federico Del Pup, Riccardo Brun, Filippo Iotti, Edoardo Paccagnella, Mattia Pezzato, Sabrina Bertozzo, Andrea Zanola, Louis Fabrice Tshimanga, Henning Müller, Manfredo Atzori
2025	J	`jnl`	xEEGNet: Towards Explainable AI in EEG Dementia Classification. CoRR Andrea Zanola, Louis Fabrice Tshimanga, Federico Del Pup, Marco Baiesi, Manfredo Atzori
2024	J	`jnl`	A systematic comparison of deep learning methods for Gleason grading and scoring. Medical Image Anal. Juan Pedro Dominguez-Morales, Lourdes Duran-Lopez, Niccolò Marini, Saturnino Vicente Diaz, Alejandro Linares-Barranco, Manfredo Atzori, Henning Müller
2024	—	`conf`	An Overview of Public Retinal Optical Coherence Tomography Datasets: Access, Annotations, and Beyond. MIE Anastasiia Rozhyna, Gábor Márk Somfai, Manfredo Atzori, Henning Müller
2024	J	`jnl`	Automatic Labels are as Effective as Manual Labels in Biomedical Images Classification with Deep Learning. CoRR Niccolò Marini, Stefano Marchesin, Lluis Borras Ferris, Simon Püttmann, Marek Wodzinski, Riccardo Fratti, Damian Podareanu, Alessandro Caputo, Svetla Boytcheva, Simona Vatrano, Filippo Fraggetta, Iris Nagtegaal, Gianmaria Silvello, Manfredo Atzori, Henning Müller
2024	J	`jnl`	DeeperHistReg: Robust Whole Slide Images Registration Framework. CoRR Marek Wodzinski, Niccolò Marini, Manfredo Atzori, Henning Müller
2024	J	`jnl`	Improving Quality Control of Whole Slide Images by Explicit Artifact Augmentation. CoRR Artur Jurgas, Marek Wodzinski, Marina D'Amato, Jeroen van der Laak, Manfredo Atzori, Henning Müller
2024	J	`jnl`	Multimodal representations of biomedical knowledge from limited training whole slide images and reports using deep learning. Medical Image Anal. Niccolò Marini, Stefano Marchesin, Marek Wodzinski, Alessandro Caputo, Damian Podareanu, Bryan Cardenas Guevara, Svetla Boytcheva, Simona Vatrano, Filippo Fraggetta, Francesco Ciompi, Gianmaria Silvello, Henning Müller, Manfredo Atzori
2024	—	`ed.`	Proceedings of the MICCAI Workshop on Computational Pathology, Marrakesh, Morocco, 6 October 2024. COMPAY@MICCAI Francesco Ciompi, Nadieh Khalili, Linda Studer, Milda Poceviciute, Amjad Khan, Mitko Veta, Yiping Jiao, Neda Haj-Hosseini, Hao Chen, Shan Raza, Fayyaz Minhas, Inti Zlobec, Nikolay Burlutskiy, Veronica Vilaplana, Biagio Brattoli, Henning Müller, Manfredo Atzori
2024	J	`jnl`	RegWSI: Whole Slide Image Registration using Combined Deep Feature- and Intensity-Based Methods: Winner of the ACROBAT 2023 Challenge. CoRR Marek Wodzinski, Niccolò Marini, Manfredo Atzori, Henning Müller
2024	J	`jnl`	RegWSI: Whole slide image registration using combined deep feature- and intensity-based methods: Winner of the ACROBAT 2023 challenge. Comput. Methods Programs Biomed. Marek Wodzinski, Niccolò Marini, Manfredo Atzori, Henning Müller
2024	J	`jnl`	SelfEEG: A Python library for Self-Supervised Learning in Electroencephalography. CoRR Federico Del Pup, Andrea Zanola, Louis Fabrice Tshimanga, Paolo Emilio Mazzon, Manfredo Atzori
2024	J	`jnl`	SelfEEG: A Python library for Self-Supervised Learning in Electroencephalography. J. Open Source Softw. Federico Del Pup, Andrea Zanola, Louis Fabrice Tshimanga, Paolo Emilio Mazzon, Manfredo Atzori
2024	J	`jnl`	The ACROBAT 2022 challenge: Automatic registration of breast cancer tissue. Medical Image Anal. Philippe Weitz, Masi Valkonen, Leslie Solorzano, Circe Carr, Kimmo Kartasalo, Constance Boissin, Sonja Koivukoski, Aino Kuusela, Dusan Rasic, Yanbo Feng, Sandra Kristiane Sinius Pouplier, Abhinav Sharma, Kajsa Ledesma Eriksson, Stephanie Robertson, Christian Marzahl, Chandler D. Gatenbee, Alexander R. A. Anderson, Marek Wodzinski, Artur Jurgas, Niccolò Marini, Manfredo Atzori, Henning Müller, Daniel Budelmann, Nick Weiss, Stefan Heldmann, Johannes Lotz, Jelmer M. Wolterink, Bruno De Santi, Abhijeet Patil, Amit Sethi, Satoshi Kondo, Satoshi Kasai, Kousuke Hirasawa, Mahtab Farrokh, Neeraj Kumar, Russell Greiner, Leena Latonen, Anne-Vibeke Laenkholm, Johan Hartman, Pekka Ruusuvuori, Mattias Rantalainen
2023	J	`jnl`	An overview of open source Deep Learning-based libraries for Neuroscience. CoRR Louis Fabrice Tshimanga, Manfredo Atzori, Federico Del Pup, Maurizio Corbetta
2023	J	`jnl`	Applications of Self-Supervised Learning to Biomedical Signals: A Survey. IEEE Access Federico Del Pup, Manfredo Atzori
2023	—	`conf`	Artifact Augmentation for Learning-based Quality Control of Whole Slide Images. EMBC Artur Jurgas, Marek Wodzinski, Weronika Celniak, Manfredo Atzori, Henning Müller
2023	J	`jnl`	Functional Synergies Applied to a Publicly Available Dataset of Hand Grasps Show Evidence of Kinematic-Muscular Synergistic Control. IEEE Access Alessandro Scano, Néstor J. Jarque-Bou, Cristina Brambilla, Manfredo Atzori, Andrea d'Avella, Henning Müller
2023	J	`jnl`	Intra-operative Brain Tumor Detection with Deep Learning-Optimized Hyperspectral Imaging. CoRR Tommaso Giannantonio, Anna Alperovich, Piercosimo Semeraro, Manfredo Atzori, Xiaohan Zhang, Christoph Hauger, Alexander Freytag, Siri Luthman, Roeland Vandebriel, Murali Jayapala, Lien Solie, Steven De Vleeschouwer
2023	—	`conf`	Robust Multiresolution and Multistain Background Segmentation in Whole Slide Images. PCBBE Artur Jurgas, Marek Wodzinski, Manfredo Atzori, Henning Müller
2023	J	`jnl`	The ACROBAT 2022 Challenge: Automatic Registration Of Breast Cancer Tissue. CoRR Philippe Weitz, Masi Valkonen, Leslie Solorzano, Circe Carr, Kimmo Kartasalo, Constance Boissin, Sonja Koivukoski, Aino Kuusela, Dusan Rasic, Yanbo Feng, Sandra Kristiane Sinius Pouplier, Abhinav Sharma, Kajsa Ledesma Eriksson, Stephanie Robertson, Christian Marzahl, Chandler D. Gatenbee, Alexander R. A. Anderson, Marek Wodzinski, Artur Jurgas, Niccolò Marini, Manfredo Atzori, Henning Müller, Daniel Budelmann, Nick Weiss, Stefan Heldmann, Johannes Lotz, Jelmer M. Wolterink, Bruno De Santi, Abhijeet Patil, Amit Sethi, Satoshi Kondo, Satoshi Kasai, Kousuke Hirasawa, Mahtab Farrokh, Neeraj Kumar, Russell Greiner, Leena Latonen, Anne-Vibeke Laenkholm, Johan Hartman, Pekka Ruusuvuori, Mattias Rantalainen
2022	J	`jnl`	H&E-adversarial network: a convolutional neural network to learn stain-invariant features through Hematoxylin & Eosin regression. CoRR Niccolò Marini, Manfredo Atzori, Sebastian Otálora, Stéphane Marchand-Maillet, Henning Müller
2022	J	`jnl`	Unleashing the potential of digital pathology data by training computer-aided diagnosis models without human annotations. npj Digit. Medicine Niccolò Marini, Stefano Marchesin, Sebastian Otálora, Marek Wodzinski, Alessandro Caputo, Mart van Rijthoven, Witali Aswolinskiy, John-Melle Bokhorst, Damian Podareanu, Edyta Petters, Svetla Boytcheva, Genziana Buttafuoco, Simona Vatrano, Filippo Fraggetta, Jeroen van der Laak, Maristella Agosti, Francesco Ciompi, Gianmaria Silvello, Henning Müller, Manfredo Atzori
2022	—	`conf`	Unsupervised Method for Intra-patient Registration of Brain Magnetic Resonance Images Based on Objective Function Weighting by Inverse Consistency: Contribution to the BraTS-Reg Challenge. BrainLes@MICCAI Marek Wodzinski, Artur Jurgas, Niccolò Marini, Manfredo Atzori, Henning Müller
2022	J	`jnl`	Unsupervised Method for Intra-patient Registration of Brain Magnetic Resonance Images based on Objective Function Weighting by Inverse Consistency: Contribution to the BraTS-Reg Challenge. CoRR Marek Wodzinski, Artur Jurgas, Niccolò Marini, Manfredo Atzori, Henning Müller
2021	J	`jnl`	Combining weakly and strongly supervised learning improves strong supervision in Gleason pattern classification. BMC Medical Imaging Sebastian Otálora, Niccolò Marini, Henning Müller, Manfredo Atzori
2021	—	`conf`	Few-shot weakly supervised detection and retrieval in histopathology whole-slide images. Digital Pathology Mart van Rijthoven, Maschenka Balkenhol, Manfredo Atzori, Peter Bult, Jeroen van der Laak, Francesco Ciompi
2021	—	`conf`	H&E-adversarial network: a convolutional neural network to learn stain-invariant features through Hematoxylin & Eosin regression. ICCVW Niccolò Marini, Manfredo Atzori, Sebastian Otálora, Stéphane Marchand-Maillet, Henning Müller
2021	J	`jnl`	Improving Robotic Hand Prosthesis Control With Eye Tracking and Computer Vision: A Multimodal Approach Based on the Visuomotor Behavior of Grasping. Frontiers Artif. Intell. Matteo Cognolato, Manfredo Atzori, Roger Gassert, Henning Müller
2021	—	`ed.`	MICCAI Workshop on Computational Pathology, COMPAY@MICCAI 2021, 27 September 2021, Virtual Event COMPAY@MICCAI Manfredo Atzori, Nikolay Burlutskiy, Francesco Ciompi, Zhang Li, Fayyaz A. Minhas, Henning Müller, Tingying Peng, Nasir M. Rajpoot, Ben Torben-Nielsen, Jeroen van der Laak, Mitko Veta, Yinyin Yuan, Inti Zlobec
2021	—	`conf`	Multi-Scale Task Multiple Instance Learning for the Classification of Digital Pathology Images with Global Annotations. COMPAY@MICCAI Niccolò Marini, Sebastian Otálora, Francesco Ciompi, Gianmaria Silvello, Stefano Marchesin, Simona Vatrano, Genziana Buttafuoco, Manfredo Atzori, Henning Müller
2021	J	`jnl`	Multi_Scale_Tools: A Python Library to Exploit Multi-Scale Whole Slide Images. Frontiers Comput. Sci. Niccolò Marini, Sebastian Otálora, Damian Podareanu, Mart van Rijthoven, Jeroen van der Laak, Francesco Ciompi, Henning Müller, Manfredo Atzori
2021	J	`jnl`	Questioning Domain Adaptation in Myoelectric Hand Prostheses Control: An Inter- and Intra-Subject Study. Sensors Giulio Marano, Cristina Brambilla, Robert Mihai Mira, Alessandro Scano, Henning Müller, Manfredo Atzori
2021	J	`jnl`	Semi-supervised training of deep convolutional neural networks with heterogeneous data and few local annotations: An experiment on prostate histopathology image classification. Medical Image Anal. Niccolò Marini, Sebastian Otálora, Henning Müller, Manfredo Atzori
2020	—	`conf`	Classification of Noisy Free-Text Prostate Cancer Pathology Reports Using Natural Language Processing. ICPR Workshops (1) Anjani Dhrangadhariya, Sebastian Otálora, Manfredo Atzori, Henning Müller
2020	—	`conf`	Effect of movement type on the classification of electromyography data for the control of dexterous prosthetic hands. BioRob Manfredo Atzori, Elisa Rosanda, Giorgio Pajardi, Franco Bassetto, Henning Müller
2020	—	`conf`	Generalizing convolution neural networks on stain color heterogeneous data for computational pathology. Digital Pathology Amjad Khan, Manfredo Atzori, Sebastian Otálora, Vincent Andrearczyk, Henning Müller
2020	—	`conf`	Semi-supervised Learning with a Teacher-Student Paradigm for Histopathology Classification: A Resource to Face Data Heterogeneity and Lack of Local Annotations. ICPR Workshops (1) Niccolò Marini, Sebastian Otálora, Henning Müller, Manfredo Atzori
2020	—	`conf`	Semi-weakly Supervised Learning for Prostate Cancer Image Classification with Teacher-Student Deep Convolutional Networks. iMIMIC/MIL3ID/LABELS@MICCAI Sebastian Otálora, Niccolò Marini, Henning Müller, Manfredo Atzori
2020	—	`conf`	Studying Public Medical Images from the Open Access Literature and Social Networks for Model Training and Knowledge Extraction. MMM (2) Henning Müller, Vincent Andrearczyk, Oscar Alfonso Jiménez del Toro, Anjani Dhrangadhariya, Roger Schaer, Manfredo Atzori
2020	—	`conf`	Systematic comparison of deep learning strategies for weakly supervised Gleason grading. Digital Pathology Sebastian Otálora, Manfredo Atzori, Amjad Khan, Oscar Alfonso Jiménez del Toro, Vincent Andrearczyk, Henning Müller
2020	—	`conf`	Training Deep Neural Networks for Small and Highly Heterogeneous MRI Datasets for Cancer Grading. EMBC Marek Wodzinski, Tommaso Banzato, Manfredo Atzori, Vincent Andrearczyk, Yashin Dicente Cid, Henning Müller
2020	J	`jnl`	Variability of Muscle Synergies in Hand Grasps: Analysis of Intra- and Inter-Session Data. Sensors Una Pale, Manfredo Atzori, Henning Müller, Alessandro Scano
2019	—	`conf`	An Augmented Reality Environment to Provide Visual Feedback to Amputees During sEMG Data Acquisitions. TAROS (2) Francesca Palermo, Matteo Cognolato, Ivan Eggel, Manfredo Atzori, Henning Müller
2019	—	`conf`	Analyzing the Trade-Off Between Training Session Time and Performance in Myoelectric Hand Gesture Recognition During Upper Limb Movement. ICORR Matteo Cognolato, Lorenzo Brigato, Yashin Dicente Cid, Manfredo Atzori, Henning Müller
2019	J	`jnl`	PaWFE: Fast Signal Feature Extraction Using Parallel Time Windows. Frontiers Neurorobotics Manfredo Atzori, Henning Müller
2018	—	`conf`	Determining the scale of image patches using a deep learning approach. ISBI Sebastian Otálora, Oscar J. Perdomo, Manfredo Atzori, Mats Andersson, Ludwig Jacobsson, Martin Hedlund, Henning Müller
2018	—	`conf`	Hand Gesture Classification in Transradial Amputees Using the Myo Armband Classifier. BioRob Matteo Cognolato, Manfredo Atzori, Diego Faccio, Cesare Tiengo, Franco Bassette, Roger Gassert, Henning Müller
2018	—	`conf`	Image Magnification Regression Using DenseNet for Exploiting Histopathology Open Access Content. COMPAY/OMIA@MICCAI Sebastian Otálora, Manfredo Atzori, Vincent Andrearczyk, Henning Müller
2018	J	`jnl`	Muscle Synergy Analysis of a Hand-Grasp Dataset: A Limited Subset of Motor Modules May Underlie a Large Variety of Grasps. Frontiers Neurorobotics Alessandro Scano, Andrea Chiavenna, Lorenzo Molinari Tosatti, Henning Müller, Manfredo Atzori
2018	—	`conf`	Tumor proliferation assessment of whole slide images. Digital Pathology Mikaël Rousson, Martin Hedlund, Mats Andersson, Ludwig Jacobsson, Gunnar Läthén, Björn Norell, Oscar Alfonso Jiménez del Toro, Henning Müller, Manfredo Atzori
2018	—	`conf`	Visual Cues to Improve Myoelectric Control of Upper Limb Prostheses. BioRob Andrea Gigli, Valentina Gregori, Matteo Cognolato, Manfredo Atzori, Arjan Gijsberts
2017	—	`conf`	Convolutional neural networks for an automatic classification of prostate tissue slides with high-grade Gleason score. Digital Pathology Oscar Alfonso Jiménez del Toro, Manfredo Atzori, Sebastian Otálora, Mats Andersson, Kristian Eurén, Martin Hedlund, Peter Rönnquist, Henning Müller
2017	—	`conf`	Deep Multimodal Case-Based Retrieval for Large Histopathology Datasets. Patch-MI@MICCAI Oscar Alfonso Jiménez del Toro, Sebastian Otálora, Manfredo Atzori, Henning Müller
2017	—	`conf`	Megane Pro: Myo-electricity, visual and gaze tracking data acquisitions to improve hand prosthetics. ICORR Francesca Giordaniello, Matteo Cognolato, Mara Graziani, Arjan Gijsberts, Valentina Gregori, Gianluca Saetta, Anne-Gabrielle Mittaz Hager, Cesare Tiengo, Franco Bassetto, Peter C. Brugger, Barbara Caputo, Henning Müller, Manfredo Atzori
2017	—	`conf`	Repeatability of grasp recognition for robotic hand prosthesis control based on sEMG data. ICORR Francesca Palermo, Matteo Cognolato, Arjan Gijsberts, Henning Müller, Barbara Caputo, Manfredo Atzori
2017	C	`conf`	Semi-automatic Training of an Object Recognition System in Scene Camera Data Using Gaze Tracking and Accelerometers. ICVS Matteo Cognolato, Mara Graziani, Francesca Giordaniello, Gianluca Saetta, Franco Bassetto, Peter C. Brugger, Barbara Caputo, Henning Müller, Manfredo Atzori
2017	J	`jnl`	Visual Cues to Improve Myoelectric Control of Upper Limb Prostheses. CoRR Andrea Gigli, Arjan Gijsberts, Valentina Gregori, Matteo Cognolato, Manfredo Atzori, Barbara Caputo
2016	J	`jnl`	Deep Learning with Convolutional Neural Networks Applied to Electromyography Data: A Resource for the Classification of Movements for Prosthetic Hands. Frontiers Neurorobotics Manfredo Atzori, Matteo Cognolato, Henning Müller
2015	—	`conf`	Combining Unsupervised Feature Learning and Riesz Wavelets for Histopathology Image Representation: Application to Identifying Anaplastic Medulloblastoma. MICCAI (1) Sebastian Otálora, Angel Cruz-Roa, John Edison Arevalo Ovalle, Manfredo Atzori, Anant Madabhushi, Alexander R. Judkins, Fabio A. González, Henning Müller, Adrien Depeursinge
2015	—	`conf`	Effects of prosthesis use on the capability to control myoelectric robotic prosthetic hands. EMBC Manfredo Atzori, Anne-Gabrielle Mittaz Hager, Simone Elsig, Giorgio Giatsidis, Franco Bassetto, Henning Müller
2015	—	`conf`	Live ECG readings using Google Glass in emergency situations. EMBC Roger Schaer, Fanny Salamin, Oscar Alfonso Jiménez del Toro, Manfredo Atzori, Henning Müller, Antoine Widmer
2015	—	`conf`	The Ninapro database: A resource for sEMG naturally controlled robotic hand prosthetics. EMBC Manfredo Atzori, Henning Müller
2014	—	`conf`	Classification of hand movements in amputated subjects by sEMG and accelerometers. EMBC Manfredo Atzori, Arjan Gijsberts, Henning Müller, Barbara Caputo
2014	—	`conf`	Natural control capabilities of robotic hands by hand amputated subjects. EMBC Manfredo Atzori, Arjan Gijsberts, Barbara Caputo, Henning Müller
2013	—	`conf`	Recognition of hand movements in a trans-radial amputated subject by sEMG. ICORR Manfredo Atzori, Henning Müller, Micheal Baechler
2011	C	`conf`	Multimodal Schizophrenia Detection by Multiclassification Analysis. CIARP Aydin Ulas, Umberto Castellani, Pasquale Mirtuono, Manuele Bicego, Vittorio Murino, Stefania Cerruti, Marcella Bellani, Manfredo Atzori, Gianluca Rambaldelli, Michele Tansella, Paolo Brambilla
2010	—	`—`	A deterministic and ductile segmentation algorithm for morphologic MRI and CTA images and quantitative analysis of dynamic susceptibility-contrast magnetic resonance imagine data. Manfredo Atzori