Keywords:
Publications of Manfredo Atzori sorted by title
3
| , , and , 3D Segmentation of Human Anatomical Structures in MRI, CT and CTA: An authomatic Algorithm, in: Atti del Congresso Nazionale di Bioingegneria, Pisa, Italy, pages 651-652, 2008 |
A
| , and , A comparative study of deep convolutional neural networks for the analysis of retinal damage in optical coherence tomography, in: Imaging Informatics for Healthcare, Research, and Applications, 2024 |
[DOI] |
| , A Deterministic and Ductile Segmentation Algorithm for Morphologic MRI and CTA Images and Quantitative Analysis of Dynamic Susceptibility-Contrast Magnetic Resonance Imaging Data, University of Padova, Ph.D School in Information Engineering, Course of Bioengineering, 2010 |
| , , , , , , , and , A dexterous hand prosthesis based on additive manufacturing, in: Proceedings of the Congress of the National Group of Bioengineering (GNB), Patron, 2023 |
|
| , , , , , , , and , A full pipeline to analyze lung histopathology images, in: Digital and Computational Pathology, SPIE Medical Imaging, 2024 |
[DOI] |
| , , , , , , , , and , A Hybrid Generative/Discriminative Method for Classification of Regions of Interest in Schizophrenia Brain MRI, in: Proceedings of MICCAI09 workshop on Probabilistic Models for Medical Image Analysis, London, UK, London, UK, 2009 |
, and , A large calibrated database of hand movements and grasp kinematics (2020), in: Scientific Data
|
|
| , , , , , , , and , A Learning by Example Approach for MRI Analysis of Human Brain in the Context of Menthal Health, in: 15th Joint Annual Meeting ISMRM-ESMRMB 2007 Scientific Proceedings, Berlin, Germany, pages 434, 2007 |
| , , and , A multi-task Multiple Instance Learning algorithm to analyze large whole slide images from the BRIGHT challenge 2022, in: ISBI Challenges 2022, Bangalore India, 2022 |
|
, , , , and , A Quantitative Taxonomy of Human Hand Grasps, (2019), in: Journal of NeuroEngineering and Rehabilitation,, 16:28
|
|
| , , , , , , and , A retrieval system for digital pathology for private datasets and scientific literature, in: European Congress of Digital Pathology, Helsinki, Finland, 2018 |
|
| , , , , , and , A systematic comparison of deep learning methods for Gleason grading and scoring (2024), in: Medical Image Analysis |
[DOI] |
| , , , , and , A systematic comparison of deep learning strategies for weakly supervised Gleason grading,, in: SPIE Medical Imaging, Houstonm, TX, USA, 2020 |
|
| , , , and , Advancements towards a functional amputation of the hand., in: Proceedings of the 26th EURAPS Annual Meeting, European Association of Plastic Surgeons (EURAPS), Edinburgh, United Kingdom, 2015 |
|
| , , and , Advancements towards non invasive, naturally controlled robotic hand prostheses, in: XX Congress of the Federation of European Societies for Surgery of the Hand (FESSH), Milan, Italy, 2015 |
|
| , , , , , , , , and , Aiming with varying degrees of accuracy requirements: Fitt’s Law and associated gaze behaviour in upper limb amputees, in: Urobody conference, Bremen, Germany, 2018 |
|
| , , , and , An Augmented Reality Environment to Provide Visual Feedback to Amputees during sEMG Data Acquisitions, in: TAROS (Towards Autonomous Robotic Systems), London, United Kingdom, 2019 |
|
| , , and , An Overview of Public Retinal Optical Coherence Tomography Datasets: Access, Annotations, and Beyond (2024), in: Medical Informatics Europe 2024(1664 - 1668) |
[DOI] |
| , , , , , , , , and , Analysis of anatomical structures in MRI, CT and CTA: a robust identification and segmentation method based on anatomical structures features modelling and analysis, in: Proceedings of the ESMRMB Annual Meeting, Valencia 2008, pages 711, 2008 |
| , , , , and , Analysis of the repeatability of grasp recognition for hand robotic prosthesis control based on sEMG data, in: IEEE International Conference on Rehabilitation Robotics, London, UK,, 2017 |
|
| , , , and , Analyzing the trade-off between training session time and performance in myoelectric hand gesture recognition during upper limb movement, in: 2019 IEEE 16th International Conference on Rehabilitation Robotics (ICORR), Toronto, Canada, 2019 |
|
| , , , , , , , , , and , Apparent motion perception in upper limb amputees with phantom sensations: obstacle shunning and obstacle tolerance, in: Proceedings of the ACNS conference 2018, Melbourne, Australia, 2018 |
|
| , , , , , , , , , , and , Apparent motion perception in upper limb amputees with phantom sensations: obstacle shunning and obstacle tolerance, in: Hand, Brain and Technology: The Somatosensory System, Monte Verità, Switzerland, 2018 |
|
| , , , and , Artifact Augmentation for Learning-based Quality Control of Whole Slide Images, in: EMBC, Sydney, Australia, 2023 |
| , , , , , , , , , , and , Automated classification of celiac disease in histopathological images: a multi-scale approach, in: Computer-Aided Diagnosis, SPIE Medical Imaging, 2024 |
[DOI] |
| , , , , , , and , Automatic Segmentation of Human Brain, Grey and White Matter in MRI: A Robust and Accurate Algorithm Based on the Tissue Features Analysis, in: 15th Joint Annual Meeting ISMRM-ESMRMB Scientific Proceedings, Berlin, Germany, pages 412, 2007 |
| , and , Availability of sEMG controlled prosthetic arm components, Information Systems Institute, HES-SO Valais; EPFL, 2020 |
|
B
| , , , , and , Bodily obstacles in mental imagery. Specific perspective-dependent effects of the apparent motion perception of an actors’ body parts (2016), in: 12th Symposium of the Zurich Center for Integrative Human Physiology (ZIHP) |
|
| , , , , , , , and , Building the NINAPRO Database: A Resource for the Biorobotics Community, in: Proceedings of the IEEE International Conference on Biomedical Robotics and Biomechatronics, Roma, Italy, pages 51, 2012 |
|
C
, , , , , , , and , Characterization of a Benchmark Database for Myoelectric Movement Classification (2015), in: Transactions on Neural Systems and Rehabilitation Engineering, 23:1(73-83)
|
[DOI] [URL] |
| , , and , Classification of hand movements in amputated subjects by sEMG and accelerometers, in: Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Chicago, IL, USA, 2014 |
|
| , , and , Classification of noisy free-text prostate cancer pathology reports using natural language processing, in: Workshop AIDP at ICPR, 2021 |
|
, , , , , , , and , Clinical Parameter Effect on the Capability to Control Myoelectric Robotic Prosthetic Hands (2016), in: Journal of Rehabilitation Research and Development, 53:3(345-358)
|
|
| , , and , Clinical, anatomical and external factors to improve dexterous robotic hand prostheses, in: XXI Congress of the Federation of European Societies for Surgery of the Hand (FESSH), Santander, Spain, 2016 |
|
| and , Combining object recognition, gaze tracking and electromyography to guide prosthetic hands: experiences from two reserch projects (2019), in: Jedlik Laboratory reports, VII:2 |
|
| , , , , , , , and , Combining Unsupervised Feature Learning and Riesz Wavelets for Histopathology Image Representation: Application to Identifying Anaplastic Medulloblastoma, in: Medical Image Computing and Computer-Assisted Intervention – MICCAI 2015, pages 581-588, Springer International Publishing, 2015 |
[DOI] |
| , , and , Combining weak and strong supervised learning improves strong supervision in Gleason pattern classification (2021), in: BMC Medical Imaging |
|
, , , , and , Comparison of Six Electromyography Acquisition Setups on Hand Movement Classification Tasks (2017), in: Plos One
|
|
| and , Control Capabilities of Myoelectric Robotic Prostheses by Hand Amputees: A Scientific Research and Market Overview (2015), in: Frontiers in Systems Neuroscience, 9(162-165) |
|
| , and , Controllo della Mano Robotica: Andiamo Verso una Rivoluzione della Protesica, in: Congresso Nazionale della Società Italiana di Chirurgia della Mano, Foggia, Italy, 2014 |
|
| , , , , , , and , Convolutional neural networks for an automatic classification of prostate tissue slides with high-grade Gleason score, in: SPIE Medical Imaging, pages 101400O-101400O-9, 2017 |
[DOI] [URL] |
D
| , Data variability as a challenge to improve classification and retrieval in digital pathology, in: MICCAI, Computational Pathology Workshop (COMPAY), Granada (Spain), 2018 |
| , , , and , Deep learning based retrieval system for gigapixel histopathology cases and open access literature (2018), in: BioArXiv |
|
| , , , and , Deep learning based retrieval system for gigapixel histopathology cases and open access literature (2019), in: Pathology Informatics |
[DOI] |
, and , Deep learning with convolutional neural networks: a resource for the control of robotic prosthetic hands via electromyography (2016), in: Frontiers in Neurorobotics, 10(9)
|
[DOI] [URL] |
, , and , Deep Multimodal Case-Based Retrieval for Large Histopathology Datasets, in: MICCAI 2017 workshop on Patch-based image analysis, Quebec City, Canada, 2017
|
|
| , , , , and , Determining the scale of image patches using a deep learning approach, in: IEEE International Symposium on Biomedical Imaging (ISBI), Washington, DC, USA, 2018 |
|
| , , and , Deterministic Automatic Segmentation in MRI, CT and CTA: A Robust Method Based on Anatomical Structures Modeling and Local Recursive Intensity Analysis, in: 17th Joint Annual Meeting ISMRM-ESMRMB Scientific Proceedings, ISMRM-ESMRMB, Honolulu, Hawai’i, U.S., pages 357, 2009 |
| , , , , and , Development of a Deep Convolutional Neural Network to Predict the Grading of Canine Meningiomas from MR images (2018), in: The veterinary journal, 235(90-92) |
| , , , and , Dexterous Control of Prosthetic Hands, in: ICAR 2013 Proceedings, Montevideo, Uruguay, 2013 |
|