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2020 – today
- 2024
[j17]Marek Wodzinski
, Niccolò Marini, Manfredo Atzori, Henning Müller:
RegWSI: Whole slide image registration using combined deep feature- and intensity-based methods: Winner of the ACROBAT 2023 challenge. Comput. Methods Programs Biomed. 250: 108187 (2024)- [j16]Federico Del Pup, Andrea Zanola, Louis Fabrice Tshimanga, Paolo Emilio Mazzon, Manfredo Atzori:
SelfEEG: A Python library for Self-Supervised Learning in Electroencephalography. J. Open Source Softw. 9(96): 6224 (2024) - [j15]Juan Pedro Dominguez-Morales, Lourdes Duran-Lopez, Niccolò Marini, Saturnino Vicente Diaz, Alejandro Linares-Barranco, Manfredo Atzori, Henning Müller:
A systematic comparison of deep learning methods for Gleason grading and scoring. Medical Image Anal. 95: 103191 (2024) - [j14]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:
The ACROBAT 2022 challenge: Automatic registration of breast cancer tissue. Medical Image Anal. 97: 103257 (2024) - [j13]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:
Multimodal representations of biomedical knowledge from limited training whole slide images and reports using deep learning. Medical Image Anal. 97: 103303 (2024) - [c35]Anastasiia Rozhyna, Gábor Márk Somfai, Manfredo Atzori, Henning Müller:
An Overview of Public Retinal Optical Coherence Tomography Datasets: Access, Annotations, and Beyond. MIE 2024: 1664-1668 - [i11]Federico Del Pup, Andrea Zanola, Louis Fabrice Tshimanga, Paolo Emilio Mazzon, Manfredo Atzori:
SelfEEG: A Python library for Self-Supervised Learning in Electroencephalography. CoRR abs/2401.05405 (2024) - [i10]Marek Wodzinski, Niccolò Marini, Manfredo Atzori, Henning Müller:
RegWSI: Whole Slide Image Registration using Combined Deep Feature- and Intensity-Based Methods: Winner of the ACROBAT 2023 Challenge. CoRR abs/2404.13108 (2024) - [i9]Marek Wodzinski, Niccolò Marini, Manfredo Atzori, Henning Müller:
DeeperHistReg: Robust Whole Slide Images Registration Framework. CoRR abs/2404.14434 (2024) - [i8]Artur Jurgas, Marek Wodzinski, Marina D'Amato, Jeroen van der Laak, Manfredo Atzori, Henning Müller:
Improving Quality Control of Whole Slide Images by Explicit Artifact Augmentation. CoRR abs/2406.11538 (2024) - [i7]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:
Automatic Labels are as Effective as Manual Labels in Biomedical Images Classification with Deep Learning. CoRR abs/2406.14351 (2024) - 2023
- [j12]Alessandro Scano, Néstor J. Jarque-Bou, Cristina Brambilla, Manfredo Atzori, Andrea d'Avella, Henning Müller:
Functional Synergies Applied to a Publicly Available Dataset of Hand Grasps Show Evidence of Kinematic-Muscular Synergistic Control. IEEE Access 11: 108544-108560 (2023) - [j11]Federico Del Pup, Manfredo Atzori:
Applications of Self-Supervised Learning to Biomedical Signals: A Survey. IEEE Access 11: 144180-144203 (2023) - [c34]Artur Jurgas, Marek Wodzinski, Weronika Celniak, Manfredo Atzori, Henning Müller:
Artifact Augmentation for Learning-based Quality Control of Whole Slide Images. EMBC 2023: 1-4 - [c33]Artur Jurgas, Marek Wodzinski, Manfredo Atzori, Henning Müller:
Robust Multiresolution and Multistain Background Segmentation in Whole Slide Images. PCBBE 2023: 29-40 - [i6]Louis Fabrice Tshimanga, Manfredo Atzori, Federico Del Pup, Maurizio Corbetta:
An overview of open source Deep Learning-based libraries for Neuroscience. CoRR abs/2301.05057 (2023) - [i5]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:
Intra-operative Brain Tumor Detection with Deep Learning-Optimized Hyperspectral Imaging. CoRR abs/2302.02884 (2023) - [i4]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:
The ACROBAT 2022 Challenge: Automatic Registration Of Breast Cancer Tissue. CoRR abs/2305.18033 (2023) - 2022
- [j10]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:
Unleashing the potential of digital pathology data by training computer-aided diagnosis models without human annotations. npj Digit. Medicine 5 (2022) - [c32]Marek Wodzinski, Artur Jurgas, Niccolò Marini, Manfredo Atzori, Henning Müller:
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 2022: 241-251 - [i3]Niccolò Marini, Manfredo Atzori, Sebastian Otálora, Stéphane Marchand-Maillet, Henning Müller:
H&E-adversarial network: a convolutional neural network to learn stain-invariant features through Hematoxylin & Eosin regression. CoRR abs/2201.06329 (2022) - [i2]Marek Wodzinski, Artur Jurgas, Niccolò Marini, Manfredo Atzori, Henning Müller:
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 abs/2211.07386 (2022) - 2021
- [j9]Sebastian Otálora, Niccolò Marini, Henning Müller, Manfredo Atzori:
Combining weakly and strongly supervised learning improves strong supervision in Gleason pattern classification. BMC Medical Imaging 21(1): 77 (2021) - [j8]Niccolò Marini, Sebastian Otálora, Damian Podareanu, Mart van Rijthoven, Jeroen van der Laak, Francesco Ciompi, Henning Müller, Manfredo Atzori:
Multi_Scale_Tools: A Python Library to Exploit Multi-Scale Whole Slide Images. Frontiers Comput. Sci. 3: 684521 (2021) - [j7]Matteo Cognolato, Manfredo Atzori, Roger Gassert, Henning Müller:
Improving Robotic Hand Prosthesis Control With Eye Tracking and Computer Vision: A Multimodal Approach Based on the Visuomotor Behavior of Grasping. Frontiers Artif. Intell. 4: 744476 (2021) - [j6]Niccolò Marini, Sebastian Otálora, Henning Müller, Manfredo Atzori:
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. 73: 102165 (2021) - [j5]Giulio Marano, Cristina Brambilla, Robert Mihai Mira, Alessandro Scano, Henning Müller, Manfredo Atzori:
Questioning Domain Adaptation in Myoelectric Hand Prostheses Control: An Inter- and Intra-Subject Study. Sensors 21(22): 7500 (2021) - [c31]Niccolò Marini, Sebastian Otálora, Francesco Ciompi, Gianmaria Silvello, Stefano Marchesin, Simona Vatrano, Genziana Buttafuoco, Manfredo Atzori, Henning Müller:
Multi-Scale Task Multiple Instance Learning for the Classification of Digital Pathology Images with Global Annotations. COMPAY@MICCAI 2021: 170-181 - [c30]Niccolò Marini, Manfredo Atzori, Sebastian Otálora, Stéphane Marchand-Maillet, Henning Müller:
H&E-adversarial network: a convolutional neural network to learn stain-invariant features through Hematoxylin & Eosin regression. ICCVW 2021: 601-610 - [c29]Mart van Rijthoven, Maschenka Balkenhol, Manfredo Atzori, Peter Bult, Jeroen van der Laak, Francesco Ciompi:
Few-shot weakly supervised detection and retrieval in histopathology whole-slide images. Digital Pathology 2021 - [e1]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:
MICCAI Workshop on Computational Pathology, COMPAY@MICCAI 2021, 27 September 2021, Virtual Event. Proceedings of Machine Learning Research 156, PMLR 2021 [contents] - 2020
- [j4]Una Pale, Manfredo Atzori, Henning Müller, Alessandro Scano:
Variability of Muscle Synergies in Hand Grasps: Analysis of Intra- and Inter-Session Data. Sensors 20(15): 4297 (2020) - [c28]Manfredo Atzori, Elisa Rosanda, Giorgio Pajardi, Franco Bassetto, Henning Müller:
Effect of movement type on the classification of electromyography data for the control of dexterous prosthetic hands. BioRob 2020: 746-751 - [c27]Marek Wodzinski, Tommaso Banzato, Manfredo Atzori, Vincent Andrearczyk, Yashin Dicente Cid, Henning Müller:
Training Deep Neural Networks for Small and Highly Heterogeneous MRI Datasets for Cancer Grading. EMBC 2020: 1758-1761 - [c26]Niccolò Marini, Sebastian Otálora, Henning Müller, Manfredo Atzori:
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) 2020: 105-119 - [c25]Anjani Dhrangadhariya, Sebastian Otálora, Manfredo Atzori, Henning Müller:
Classification of Noisy Free-Text Prostate Cancer Pathology Reports Using Natural Language Processing. ICPR Workshops (1) 2020: 154-166 - [c24]Sebastian Otálora, Niccolò Marini, Henning Müller, Manfredo Atzori:
Semi-weakly Supervised Learning for Prostate Cancer Image Classification with Teacher-Student Deep Convolutional Networks. iMIMIC/MIL3ID/LABELS@MICCAI 2020: 193-203 - [c23]Amjad Khan, Manfredo Atzori, Sebastian Otálora, Vincent Andrearczyk, Henning Müller:
Generalizing convolution neural networks on stain color heterogeneous data for computational pathology. Digital Pathology 2020: 113200R - [c22]Sebastian Otálora, Manfredo Atzori, Amjad Khan, Oscar Alfonso Jiménez del Toro, Vincent Andrearczyk, Henning Müller:
Systematic comparison of deep learning strategies for weakly supervised Gleason grading. Digital Pathology 2020: 113200L - [c21]Henning Müller, Vincent Andrearczyk, Oscar Alfonso Jiménez del Toro, Anjani Dhrangadhariya, Roger Schaer, Manfredo Atzori:
Studying Public Medical Images from the Open Access Literature and Social Networks for Model Training and Knowledge Extraction. MMM (2) 2020: 553-564
2010 – 2019
- 2019
- [j3]Manfredo Atzori, Henning Müller:
PaWFE: Fast Signal Feature Extraction Using Parallel Time Windows. Frontiers Neurorobotics 13: 74 (2019) - [c20]Matteo Cognolato, Lorenzo Brigato, Yashin Dicente Cid, Manfredo Atzori, Henning Müller:
Analyzing the Trade-Off Between Training Session Time and Performance in Myoelectric Hand Gesture Recognition During Upper Limb Movement. ICORR 2019: 772-777 - [c19]Francesca Palermo, Matteo Cognolato, Ivan Eggel, Manfredo Atzori, Henning Müller:
An Augmented Reality Environment to Provide Visual Feedback to Amputees During sEMG Data Acquisitions. TAROS (2) 2019: 3-14 - 2018
- [j2]Alessandro Scano, Andrea Chiavenna, Lorenzo Molinari Tosatti, Henning Müller, Manfredo Atzori:
Muscle Synergy Analysis of a Hand-Grasp Dataset: A Limited Subset of Motor Modules May Underlie a Large Variety of Grasps. Frontiers Neurorobotics 12: 57 (2018) - [c18]Matteo Cognolato, Manfredo Atzori, Diego Faccio, Cesare Tiengo, Franco Bassette, Roger Gassert, Henning Müller:
Hand Gesture Classification in Transradial Amputees Using the Myo Armband Classifier. BioRob 2018: 156-161 - [c17]Andrea Gigli, Valentina Gregori, Matteo Cognolato, Manfredo Atzori, Arjan Gijsberts:
Visual Cues to Improve Myoelectric Control of Upper Limb Prostheses. BioRob 2018: 783-788 - [c16]Sebastian Otálora, Oscar J. Perdomo, Manfredo Atzori, Mats Andersson, Ludwig Jacobsson, Martin Hedlund, Henning Müller:
Determining the scale of image patches using a deep learning approach. ISBI 2018: 843-846 - [c15]Sebastian Otálora, Manfredo Atzori, Vincent Andrearczyk, Henning Müller:
Image Magnification Regression Using DenseNet for Exploiting Histopathology Open Access Content. COMPAY/OMIA@MICCAI 2018: 148-155 - [c14]Mikaël Rousson, Martin Hedlund, Mats Andersson, Ludwig Jacobsson, Gunnar Läthén, Björn Norell, Oscar Alfonso Jiménez del Toro, Henning Müller, Manfredo Atzori:
Tumor proliferation assessment of whole slide images. Digital Pathology 2018: 105810Y - 2017
- [c13]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:
Megane Pro: Myo-electricity, visual and gaze tracking data acquisitions to improve hand prosthetics. ICORR 2017: 1148-1153 - [c12]Francesca Palermo, Matteo Cognolato, Arjan Gijsberts, Henning Müller, Barbara Caputo, Manfredo Atzori:
Repeatability of grasp recognition for robotic hand prosthesis control based on sEMG data. ICORR 2017: 1154-1159 - [c11]Matteo Cognolato, Mara Graziani, Francesca Giordaniello, Gianluca Saetta, Franco Bassetto, Peter C. Brugger, Barbara Caputo, Henning Müller, Manfredo Atzori:
Semi-automatic Training of an Object Recognition System in Scene Camera Data Using Gaze Tracking and Accelerometers. ICVS 2017: 175-184 - [c10]Oscar Alfonso Jiménez del Toro, Sebastian Otálora, Manfredo Atzori, Henning Müller:
Deep Multimodal Case-Based Retrieval for Large Histopathology Datasets. Patch-MI@MICCAI 2017: 149-157 - [c9]Oscar Alfonso Jiménez del Toro, Manfredo Atzori, Sebastian Otálora, Mats Andersson, Kristian Eurén, Martin Hedlund, Peter Rönnquist, Henning Müller:
Convolutional neural networks for an automatic classification of prostate tissue slides with high-grade Gleason score. Digital Pathology 2017: 101400O - [i1]Andrea Gigli, Arjan Gijsberts, Valentina Gregori, Matteo Cognolato, Manfredo Atzori, Barbara Caputo:
Visual Cues to Improve Myoelectric Control of Upper Limb Prostheses. CoRR abs/1709.02236 (2017) - 2016
- [j1]Manfredo Atzori, Matteo Cognolato, Henning Müller:
Deep Learning with Convolutional Neural Networks Applied to Electromyography Data: A Resource for the Classification of Movements for Prosthetic Hands. Frontiers Neurorobotics 10: 9 (2016) - 2015
- [c8]Roger Schaer, Fanny Salamin, Oscar Alfonso Jiménez del Toro, Manfredo Atzori, Henning Müller, Antoine Widmer:
Live ECG readings using Google Glass in emergency situations. EMBC 2015: 315-318 - [c7]Manfredo Atzori, Anne-Gabrielle Mittaz Hager, Simone Elsig, Giorgio Giatsidis, Franco Bassetto, Henning Müller:
Effects of prosthesis use on the capability to control myoelectric robotic prosthetic hands. EMBC 2015: 3456-3459 - [c6]Manfredo Atzori, Henning Müller:
The Ninapro database: A resource for sEMG naturally controlled robotic hand prosthetics. EMBC 2015: 7151-7154 - [c5]Sebastian Otálora, Angel Cruz-Roa, John Edison Arevalo Ovalle, Manfredo Atzori, Anant Madabhushi, Alexander R. Judkins, Fabio A. González, Henning Müller, Adrien Depeursinge:
Combining Unsupervised Feature Learning and Riesz Wavelets for Histopathology Image Representation: Application to Identifying Anaplastic Medulloblastoma. MICCAI (1) 2015: 581-588 - 2014
- [c4]Manfredo Atzori, Arjan Gijsberts, Henning Müller, Barbara Caputo:
Classification of hand movements in amputated subjects by sEMG and accelerometers. EMBC 2014: 3545-3549 - [c3]Manfredo Atzori, Arjan Gijsberts, Barbara Caputo, Henning Müller:
Natural control capabilities of robotic hands by hand amputated subjects. EMBC 2014: 4362-4365 - 2013
- [c2]Manfredo Atzori, Henning Müller, Micheal Baechler:
Recognition of hand movements in a trans-radial amputated subject by sEMG. ICORR 2013: 1-5 - 2011
- [c1]Aydin Ulas, Umberto Castellani, Pasquale Mirtuono, Manuele Bicego, Vittorio Murino, Stefania Cerruti, Marcella Bellani, Manfredo Atzori, Gianluca Rambaldelli, Michele Tansella, Paolo Brambilla:
Multimodal Schizophrenia Detection by Multiclassification Analysis. CIARP 2011: 491-498 - 2010
- [b1]Manfredo Atzori:
A deterministic and ductile segmentation algorithm for morphologic MRI and CTA images and quantitative analysis of dynamic susceptibility-contrast magnetic resonance imagine data. University of Padua, Italy, 2010
Coauthor Index
Juan Sebastian Otálora Montenegro
aka: Sebastian Otálora
aka: Sebastian Otálora
[j17] [j15] [j14] [j13] [c35] [i10] [i9] [i8] [i7] [j12] [c34] [c33] [i4] [j10] [c32] [i3] [i2] [j9] [j8] [j7] [j6] [j5] [c31] [c30] [e1] [j4] [c28] [c27] [c26] [c25] [c24] [c23] [c22] [c21] [j3] [c20] [c19] [j2] [c18] [c16] [c15] [c14] [c13] [c12] [c11] [c10] [c9] [j1] [c8] [c7] [c6] [c5] [c4] [c3] [c2]
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last updated on 2024-12-10 20:46 CET by the dblp team
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