Institute of Informatics (II)
Onderwerp: MedGIFT
Alle publicaties voor onderwerp "MedGIFT" gesorteerd op eerste auteur
| 1-50 | 51-100 | 101-150 | 151-200 | 201-250 | 251-300 | 301-350 | 351-400 | 401-450 | 451-500 | 501-550 | 551-590 |
A
Comparison of MR preprocessing strategies and sequences for radiomics-based MGMT prediction, in: Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries (MICCAI/BrainLes 2021), Cham, pagina's 367–380, Springer International Publishing, 2022 | , , , , , , , en ,
[DOI] |
QuantImage v2: A Comprehensive and Integrated Physician-Centered Cloud Platform for Radiomics and Machine Learning Research (2023), in: European Radiology Experimental, 7:16
|
, , , , , , , , en ,
|
PROMISE retreat report prospects and opportunities for information access evaluation, in: SIGIR Forum, Padua, Italy, pagina's 60-84, 2012 | , , , , , , , , , , , , , , , , , , , , , , en ,
|
PROMISE Winter School 2012: Information Retrieval meets Information Visualization (2012), in: SIGIR Forum, 46:1(65-70) | , , , en ,
|
Information Retrieval meets information visualization, Springer, Lecture Notes in Computer Science 7757, 2013 | , , , en ,
[URL] |
Information Retrieval meets information visualization, Springer, LNCS 7757, 2013 | , , , en ,
[URL] |
Multidimensional Texture Analysis for Improved Prediction of Ultrasound Liver Tumor Response to Chemotherapy Treatment, in: Medical Image Computing and Computer-Assisted Interventions (MICCAI), pagina's 619--626, Springer International Publishing, 2016 | , en ,
|
Synchronized slice viewing of similar image series, in: SPIE Medical Imaging: Advanced PACS-based Imaging Informatics and Therapeutic Applications, San Diego, CA, USA, pagina's 83190K, 2012 | , , , , en ,
|
The Future Internet - From Promises to Reality, in: Future Internet Assembly 2012, pagina's 7281, 2012 | , , , , , , , , , , , , , , , , , en ,
[URL] |
Interoperability prototype between hospitals and general practitioners in Switzerland, in: Medinfo 2010, Cape Town, South Africa, pagina's 366-370, IOS press, 2010 | , , , en ,
|
Prototype d'interopérabilité entre hôpitaux et médecins traitants, in: Actes de GISEH 2010, conférence francophone "Gestion et Ingénierie des Systèmes Hospitaliers", Clermont-Ferrand, France, 2010 | , , , , en ,
|
Translational Medicine - The Need for Integrative Informatics, in: Medical Informatics Europe (MIE), Oslo, Norway, 2011 | , , en ,
|
Rotational 3D Texture Classification Using Group Equivariant CNNs (2018), in: ArXiv | en ,
[URL] |
Learning Cross-Protocol Radiomics and Deep Feature Standardization from CT Images of Texture Phantoms, in: SPIE Medical Imaging 2019, International Society for Optics and Photonics, pagina's 109-116, SPIE, 2019 | , en ,
|
Neural Network Training for Cross-Protocol Radiomic Feature Standardization in Computed Tomography (2019), in: Journal of Medical Imaging, 6:3(024008) | , en ,
[URL] |
Local Rotation Invariance in 3D CNNs (2020), in: Medical Image Analysis, 65(101756)
|
, , , en ,
[DOI] [URL] |
Exploring local rotation invariance in 3D CNNs with steerable filters, in: Medical Imaging with Deep Learning, pagina's 15-26, Proceedings of Machine Learning Research, 2019
|
, , , en ,
[URL] |
Multi-Task Deep Segmentation and Radiomics for Automatic Prognosis in Head and Neck Cancer, in: 4th Workshop on PRedictive Intelligence in MEdicine, pagina's 147-156, Springer LNCS, 2021 | , , , , , en ,
[URL] |
Consistency of Scale Covariance in Internal Representations of CNNs, in: Irish Machine Vision and Image Processing Conference, 2020 | , , en ,
|
Overview of the HECKTOR Challenge at MICCAI 2022: Automatic Head and Neck Tumor Segmentation and Outcome Prediction in PET/CT, pagina's 1-30, Springer, Cham, 2023 | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , en ,
[DOI] [URL] |
Overview of the HECKTOR Challenge at MICCAI 2021: Automatic Head and Neck Tumor Segmentation and Outcome Prediction in PET/CT Images, in: Head and Neck Tumor Segmentation and Outcome Prediction, pagina's 1-37, 2022 | , , , , , , , , , en ,
[DOI] [URL] |
Automatic Head and Neck Tumor Segmentation and Outcome Prediction Relying on FDG-PET/CT Images: Findings from the Second Edition of the HECKTOR Challenge (2023), in: Medical Image Analysis, 90:1(102972)
|
, , , , , , , , , , en ,
[URL] |
Oropharynx Detection in PET-CT for Tumor Segmentation, in: Irish Machine Vision and Image Processing Conference, 2020, 2020 | , en ,
|
Solid Spherical Energy (SSE) CNNs for Efficient 3D Medical Image Analysis, in: Irish Machine Vision and Image Processing Conference, pagina's 37-44, 2019 | , , , en ,
|
Head and Neck Tumor Segmentation and Outcome Prediction, Springer International Publishing, 2022 |
[DOI] [URL] |
Segmentation and Classification of Head and Neck Nodal Metastases and Primary Tumors in PET/CT, in: 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), pagina's 4731-4735, 2022 | , , , , en ,
|
HEad and neCK TumOR segmentation and outcome prediction: The HECKTOR challenge, in: European Society of Radiology, 2022 | , , , , , , , en ,
|
Overview of the HECKTOR Challenge at MICCAI 2020: Automatic Head and Neck Tumor Segmentation in PET/CT, pagina's 1-21, 2021 | , , , , , , en ,
|
Automatic Segmentation of Head and Neck Tumors and Nodal Metastases in PET-CT scans, in: Medical Imaging with Deep Learning, Montréal, Canada, 2020 | , , , , , , , en ,
[URL] |
Automatic Detection and Multi-Component Segmentation of Brain Metastases in Longitudinal MRI (2024), in: Nature Scientic Reports | , , , , , , , , en ,
Measuring and Analyzing the Scholarly Impact of Experimental Evaluation Initiatives, in: Italian Research Conference on Digital Libraries, Rome, Italy, 2014 | , , , , , en ,
|
Khresmoi – multilingual semantic search of medical text and images, in: MedInfo 2013, Copenhagen, Denmark, 2013 | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , en ,
|
Khresmoi Professional: Multilingual Semantic Search for Medical Professionals, in: SIGIR workshop on Health Data Discovery, Dublin, Ireland, 2013 | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , en ,
|
Khresmoi: Multimodal Multilingual Medical Information Search, in: Proceedings of the 24th International Conference of the European Federation for Medical Informatics, 2012 | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , en ,
|
Recognition of Hand Movements in a Trans–Radial Amputated Subject by sEMG, in: International Conference On Rehabilitation Robotics (ICORR) 2013, Seatlle, WA, USA, 2013 | , en ,
|
Spatial Registration of Hand Muscle Electromyography Signals, in: 7th International Workshop on Biosignal Interpretation, Como, Italy, 2012 | , en ,
|
Deep learning with convolutional neural networks: a resource for the control of robotic prosthetic hands via electromyography (2016), in: Frontiers in Neurorobotics, 10(9)
|
, en ,
[DOI] [URL] |
Nuove frontiere in Bio-robotica: Acquisizioni di Segnali Tramite Elettromiografia di Superficie per il Riconoscimento di Movimenti della Mano, in: Congresson Nazionale della Società Italiana di Chirurgia della Mano, Rimini, Italy, 2013 | , , , , , en ,
|
Natural Control Capabilities of Robotic Hands by Hand Amputated Subjects, in: Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Chicago (USA), IEEE, 2014 | , , en ,
|
Clinical Parameter Effect on the Capability to Control Myoelectric Robotic Prosthetic Hands (2016), in: Journal of Rehabilitation Research and Development, 53:3(345-358)
|
, , , , , , , en ,
|
Electromyography data for non-invasive naturally controlled robotic hand prostheses (2014), in: Scientific Data, 1:140053 | , , , , , , , en ,
[DOI] [URL] |
Dexterous Control of Prosthetic Hands, in: ICAR 2013 Proceedings, Montevideo, Uruguay, 2013 | , , , en ,
|
Experiences in the Creation of an Electromyography Database to Help Hand Amputated Persons, in: Proceedings of the 24th European Medical Informatics Conference - MIE2012, Pisa, Italy, 2012 | , , , , , en ,
|
Building the NINAPRO Database: A Resource for the Biorobotics Community, in: Proceedings of the IEEE International Conference on Biomedical Robotics and Biomechatronics, Roma, Italy, pagina's 51, 2012 | , , , , , , , en ,
|
Characterization of a Benchmark Database for Myoelectric Movement Classification (2015), in: Transactions on Neural Systems and Rehabilitation Engineering, 23:1(73-83)
|
, , , , , , , en ,
[DOI] [URL] |
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 | , , en ,
|
Effects of Prosthesis Use on the Capability to Control Myoelectric Robotic Prosthetic Hands, in: 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Milano (Italy), 2015 | , , , , en ,
|
The Ninapro database: a Resource for sEMG Naturally Controlled Robotic Hand Prosthetics, in: 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Milano, Italy, 2015 | en ,
|
Control Capabilities of Myoelectric Robotic Prostheses by Hand Amputees: A Scientific Research and Market Overview (2015), in: Frontiers in Systems Neuroscience, 9(162-165) | en ,
|
| 1-50 | 51-100 | 101-150 | 151-200 | 201-250 | 251-300 | 301-350 | 351-400 | 401-450 | 451-500 | 501-550 | 551-590 |