| Nome |
# |
|
Automatic hemolysis identification on aligned dual-lighting images of cultured blood agar plates, file ddc633e3-97ce-4e2e-e053-3705fe0a4c80
|
2.104
|
|
CNN-Based Identification of Hyperspectral Bacterial Signatures for Digital Microbiology, file ddc633e3-7f29-4e2e-e053-3705fe0a4c80
|
1.055
|
|
Opacity modulation for interactive volume rendering of medical images, file ddc633e3-07e3-4e2e-e053-3705fe0a4c80
|
337
|
|
Design of a Visual Environment for Evaluating and Customizing Medical Image Compression Techniques, file ddc633e2-feba-4e2e-e053-3705fe0a4c80
|
319
|
|
Deformable registration using patch-wise shape matching, file ddc633e2-d671-4e2e-e053-3705fe0a4c80
|
294
|
|
On the application of optical forward-scattering to bacterial identification in an automated clinical analysis perspective, file ddc633e2-d111-4e2e-e053-3705fe0a4c80
|
256
|
|
Global registration of large collections of range images with an improved Optimization-on-a-Manifold approach, file ddc633e2-d710-4e2e-e053-3705fe0a4c80
|
199
|
|
Selective coding with controlled quality decay for 2D and 3D images in a JPEG2000 framework, file ddc633e3-0b51-4e2e-e053-3705fe0a4c80
|
194
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|
Embedded Morphological Dilation Coding for 2D and 3D Images, file ddc633e3-07f6-4e2e-e053-3705fe0a4c80
|
191
|
|
Accurate and fast 3D interactive segmentation system applied to MR brain quantification, file ddc633e3-0a69-4e2e-e053-3705fe0a4c80
|
190
|
|
Deep Learning Meets Hyperspectral Image Analysis: A Multidisciplinary Review, file ddc633e3-c0f3-4e2e-e053-3705fe0a4c80
|
175
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|
Progressive contour coding in the wavelet domain, file ddc633e3-1350-4e2e-e053-3705fe0a4c80
|
164
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Improving SPIHT-based Compression of Volumetric Medical Data, file ddc633e3-1220-4e2e-e053-3705fe0a4c80
|
157
|
|
Progressive ROI coding and diagnostic quality for medical image compression, file ddc633e2-fe3c-4e2e-e053-3705fe0a4c80
|
141
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|
Volume Simplification and Segmentation by 3D Connected Operators, file ddc633e3-12b3-4e2e-e053-3705fe0a4c80
|
141
|
|
Status Report on Wavelet Video Coding Exploration, file ddc633e3-11c4-4e2e-e053-3705fe0a4c80
|
128
|
|
Biological application of Compressed Sensing Tomography in the Scanning Electron Microscope, file ddc633e3-2335-4e2e-e053-3705fe0a4c80
|
121
|
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SEM tomography for the investigation of hybrid structures, file ddc633e3-73a2-4e2e-e053-3705fe0a4c80
|
120
|
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Report on Wavelet Video Coding EE5: Visual performance evaluation, file ddc633e3-107b-4e2e-e053-3705fe0a4c80
|
105
|
|
Multistage classification for bacterial colonies recognition on solid agar images, file ddc633e2-d672-4e2e-e053-3705fe0a4c80
|
104
|
|
Performance evaluation of the current Wavelet Video Coding Reference Software, file ddc633e3-0727-4e2e-e053-3705fe0a4c80
|
103
|
|
Attitude towards telemonitoring in orthodontists and orthodontic patients, file ddc633e4-5931-4e2e-e053-3705fe0a4c80
|
102
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|
Increasing tracking robustness for low-complexity real-time reconstructions with handheld optical scanners, file ddc633e3-f5b3-4e2e-e053-3705fe0a4c80
|
97
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An Integer Linear Programming Model for View Selection on Overlapping Camera Clusters, file ddc633e2-d675-4e2e-e053-3705fe0a4c80
|
95
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|
State-of-the-Art and Trends in Scalable Video Compression with Wavelet Based Approaches, file ddc633e3-09ec-4e2e-e053-3705fe0a4c80
|
92
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DenseMatch: a dataset for real-time 3D reconstruction, file ddc633e4-6933-4e2e-e053-3705fe0a4c80
|
87
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|
Automatic classification of mice vocalizations using Machine Learning techniques and Convolutional Neural Networks, file ddc633e4-3819-4e2e-e053-3705fe0a4c80
|
72
|
|
A fully scalable wavelet video coding scheme with homologous inter-scale prediction, file ddc633e3-086d-4e2e-e053-3705fe0a4c80
|
69
|
|
New prediction schemes for scalable wavelet video coding, file ddc633e3-095b-4e2e-e053-3705fe0a4c80
|
66
|
|
Wavelet-based encoding for HD applications, file ddc633e3-0a5b-4e2e-e053-3705fe0a4c80
|
63
|
|
Efficient Wavelet-Based Video Compression, file ddc633e3-099f-4e2e-e053-3705fe0a4c80
|
61
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|
SVC CE1: STool - a native spatially scalable approach to SVC, file ddc633e3-08da-4e2e-e053-3705fe0a4c80
|
60
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|
Report of UNIBS SVC CE3 Inter-layer prediction: STool scheme on HHI software, file ddc633e3-1421-4e2e-e053-3705fe0a4c80
|
56
|
|
Two-Way Interactive Refinement of Segmented Medical Volumes, file ddc633e2-a431-4e2e-e053-3705fe0a4c80
|
49
|
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Performance evaluation of wavelet-based HD video coding, file ddc633e3-11c2-4e2e-e053-3705fe0a4c80
|
47
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Status Report on Wavelet Video Coding Exploration, file ddc633e3-0d6f-4e2e-e053-3705fe0a4c80
|
46
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|
High-Performance Embedded Morphological Wavelet Coding, file ddc633e3-0e4d-4e2e-e053-3705fe0a4c80
|
45
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Watershed Segmentation of Medical Volumes with Paint Drop Marking, file ddc633e3-0c67-4e2e-e053-3705fe0a4c80
|
43
|
|
A unified framework for content-aware view selection and planning through view importance, file ddc633e2-d95c-4e2e-e053-3705fe0a4c80
|
42
|
|
Cyclostationary error analysis and filter properties in a 3D wavelet coding framework, file ddc633e3-0c4c-4e2e-e053-3705fe0a4c80
|
42
|
|
Performance Evidence of Software Proposal for Wavelet Video Coding Exploration Group, file ddc633e3-0d7d-4e2e-e053-3705fe0a4c80
|
42
|
|
A multiscale feature extraction approach for 3D range images, file ddc633e3-0f78-4e2e-e053-3705fe0a4c80
|
39
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|
Status Report on Wavelet Video Coding Exploration, file ddc633e3-11c5-4e2e-e053-3705fe0a4c80
|
35
|
|
Spatial–spectral evidence of glare influence on hyperspectral acquisitions, file ddc633e4-6760-4e2e-e053-3705fe0a4c80
|
28
|
|
Progressive Medical Image Compression using a Diagnostic Quality Measure on Regions-of-Interest, file ddc633e2-a333-4e2e-e053-3705fe0a4c80
|
27
|
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Multi-view alignment with database of features for an improved usage of high-end 3D scanners, file ddc633e2-b3c2-4e2e-e053-3705fe0a4c80
|
27
|
|
A Fully Scalable Video Coder with Inter-Scale Wavelet Prediction and Morphological Coding, file ddc633e3-0e44-4e2e-e053-3705fe0a4c80
|
24
|
|
Inter-Modal Selective 3D Coding of PET-CT Datasets, file ddc633e2-a435-4e2e-e053-3705fe0a4c80
|
23
|
|
A robust pipeline for rapid feature-based pre-alignment of dense range scans, file ddc633e3-0ff1-4e2e-e053-3705fe0a4c80
|
22
|
|
Assessing Trustworthy AI in times of COVID-19. Deep Learning for predicting a multi-regional score conveying the degree of lung compromise in COVID-19 patients, file e703f70e-9426-4bbd-a14e-edd26d02e4e0
|
19
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Metodo di codifica video scalabile, file ddc633e2-a44e-4e2e-e053-3705fe0a4c80
|
18
|
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Report on Testing in Wavelet Video Coding Exploration, file ddc633e3-099c-4e2e-e053-3705fe0a4c80
|
15
|
|
Diagnostic Compression of Biomedical Volumes, file ddc633e3-03f0-4e2e-e053-3705fe0a4c80
|
14
|
|
Progressive contour coding in the wavelet domain, file ddc633e3-0f09-4e2e-e053-3705fe0a4c80
|
14
|
|
Method of Scalable Video Coding, file ddc633e3-1423-4e2e-e053-3705fe0a4c80
|
14
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|
Metodo di codifica video scalabile, file ddc633e2-a44f-4e2e-e053-3705fe0a4c80
|
12
|
|
Adaptive dilation analysis for wavelet coding with EMDC, file ddc633e3-08eb-4e2e-e053-3705fe0a4c80
|
12
|
|
Method of Scalable Video Coding, file ddc633e3-073d-4e2e-e053-3705fe0a4c80
|
9
|
|
Effects of remote digital monitoring on oral hygiene of orthodontic patients: a prospective study, file b161b37c-0043-40f0-ad3e-1f908c701abc
|
8
|
|
Status Report on Wavelet Video Coding Exploration, file ddc633e3-09e2-4e2e-e053-3705fe0a4c80
|
8
|
|
CineScale2: a dataset of cinematic camera features in movies, file a2c655c6-ae7d-4ead-ae96-16daf4f699c8
|
7
|
|
A tool for the quantification of radial neo-vessels in chick chorioallantoic membrane angiogenic assays, file ddc633e3-074b-4e2e-e053-3705fe0a4c80
|
7
|
|
Status Report on Wavelet Video Coding Exploration, file ddc633e3-09e1-4e2e-e053-3705fe0a4c80
|
6
|
|
Proposed Status Report on Wavelet Video Coding Exploration, file ddc633e3-107d-4e2e-e053-3705fe0a4c80
|
6
|
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Method of Scalable Video Coding, file ddc633e3-073c-4e2e-e053-3705fe0a4c80
|
5
|
|
Status Report on Wavelet Video Coding Exploration, file ddc633e3-09e0-4e2e-e053-3705fe0a4c80
|
5
|
|
Fighting the scanner effect in brain MRI segmentation with a progressive level-of-detail network trained on multi-site data, file f935b2f2-511f-4a13-9d90-82f322d69a4a
|
5
|
|
Fighting the Scanner Effect: a Coarse-to-Fine 3D Network for Multi-Site Brain MRI Segmentation, file 1f8cc5c8-02c1-490d-8690-7db48b597609
|
3
|
|
A free Web API for single and multi-document summarization, file ddc633e3-6d95-4e2e-e053-3705fe0a4c80
|
3
|
|
Il rilievo e la modellazione del sarcofago di Berardo Maggi, file ddc633e3-8c83-4e2e-e053-3705fe0a4c80
|
3
|
|
null, file 0d98ccb1-6e81-4485-bd7b-506b98d790ee
|
2
|
|
CEREBRUM: a fast and fully-volumetric Convolutional Encoder-decodeR for weakly-supervised sEgmentation of BRain strUctures from out-of-the-scanner MRI, file ddc633e4-0a38-4e2e-e053-3705fe0a4c80
|
2
|
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Sistemi di Intelligenza Artificiale per la Prognosi di Pazienti COVID-19, l'Analisi di Immagini Radiologiche e l'Interpretazione di Referti in Linguaggio Naturale, file 1a9806d1-6237-40f5-ba18-a7b206b8cfbc
|
1
|
|
3D-PMDC: A Parallelized Morphological Wavelet Codec for 3D Medical Datasets and Teleradiology Applications, file ddc633e2-bea7-4e2e-e053-3705fe0a4c80
|
1
|
|
A robust pipeline for rapid feature-based pre-alignment of dense range scans, file ddc633e2-bea8-4e2e-e053-3705fe0a4c80
|
1
|
|
Wavelet-based encoding for HD applications, file ddc633e3-0a5a-4e2e-e053-3705fe0a4c80
|
1
|
|
3D-PMDC: A Parallelized Morphological Wavelet Codec for 3D Medical Datasets and Teleradiology Applications, file ddc633e3-0fef-4e2e-e053-3705fe0a4c80
|
1
|
|
Hyperspectral image analysis for rapid and accurate discrimination of bacterial infections: A benchmark study, file ddc633e3-6b4b-4e2e-e053-3705fe0a4c80
|
1
|
|
Shot Scale Analysis in Movies by Convolutional Neural Networks, file ddc633e3-b9e1-4e2e-e053-3705fe0a4c80
|
1
|
|
Transfer learning of deep neural network representations for fMRI decoding, file ddc633e3-ef37-4e2e-e053-3705fe0a4c80
|
1
|
|
CineScale: A dataset of cinematic shot scale in movies, file ddc633e4-4e5f-4e2e-e053-3705fe0a4c80
|
1
|
|
Development of a cadaveric head and neck cancer model and three-dimensional analysis of margins in surgical navigation-aided ablations, file ddc633e4-64b2-4e2e-e053-3705fe0a4c80
|
1
|
| Totale |
8.306 |