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2020 – today
- 2022
[i2]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)- 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) - [c30]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 - [c29]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 - [e1]Manfredo Atzori, Nikolay Burlutskiy, Francesco Ciompi, Zhang Li, Fayyaz 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. Medical Imaging: 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. Medical Imaging: 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, D. Faccio, Cesare Tiengo, F. 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. Medical Imaging: 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 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 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. Medical Imaging: 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
Coauthor Index
aka: Sebastian Otálora
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last updated on 2022-04-28 23:49 CEST by the dblp team
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