| Multi-task Deep Segmentation and Radiomics for Automatic Prognosis in Head and Neck Cancer. | 1 | 0.36 | 2021 |
| Head and Neck Tumor Segmentation - First Challenge, HECKTOR 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4, 2020, Proceedings | 0 | 0.34 | 2021 |
| Interpretable CNN Pruning for Preserving Scale-Covariant Features in Medical Imaging. | 0 | 0.34 | 2020 |
| Local Rotation Invariance in 3D CNNs | 0 | 0.34 | 2020 |
| Automatic Segmentation of Head and Neck Tumors and Nodal Metastases in PET-CT scans. | 0 | 0.34 | 2020 |
| An Exploration Of Uncertainty Information For Segmentation Quality Assessment | 0 | 0.34 | 2020 |
| A lung graph model for the classification of interstitial lung diseases on CT images. | 0 | 0.34 | 2019 |
| Exploring local rotation invariance in 3D CNNs with steerable filters. | 0 | 0.34 | 2019 |
| Fusing learned representations from Riesz Filters and Deep CNN for lung tissue classification. | 2 | 0.46 | 2019 |
| Texture-driven parametric snakes for semi-automatic image segmentation. | 0 | 0.34 | 2019 |
| Holographic Visualisation and Interaction of Fused CT, PET and MRI Volumetric Medical Imaging Data Using Dedicated Remote GPGPU Ray Casting. | 0 | 0.34 | 2018 |
| Rotational 3D Texture Classification Using Group Equivariant CNNs. | 1 | 0.35 | 2018 |
| Rotation-covariant tissue analysis for interstitial lung diseases using learned steerable filters: Performance evaluation and relevance for diagnostic aid. | 0 | 0.34 | 2018 |
| Rotation Invariance and Directional Sensitivity: Spherical Harmonics versus Radiomics Features. | 1 | 0.37 | 2018 |
| Holistic Classification Of Ct Attenuation Patterns For Interstitial Lung Diseases Via Deep Convolutional Neural Networks | 16 | 0.72 | 2018 |
| Fast Rotational Sparse Coding. | 1 | 0.35 | 2018 |
| From visual words to a visual grammar: using language modelling for image classification. | 1 | 0.35 | 2017 |
| Steerable Wavelet Machines (SWM): Learning Moving Frames for Texture Classification. | 2 | 0.37 | 2017 |
| 3D Solid Texture Classification Using Locally-Oriented Wavelet Transforms. | 3 | 0.43 | 2017 |
| A Lung Graph-Model for Pulmonary Hypertension and Pulmonary Embolism Detection on DECT Images. | 0 | 0.34 | 2016 |
| GPU-Accelerated Texture Analysis Using Steerable Riesz Wavelets. | 1 | 0.35 | 2016 |
| Automated classification of brain tumor type in whole-slide digital pathology images using local representative tiles. | 25 | 1.24 | 2016 |
| Optimized Distributed Hyperparameter Search and Simulation for Lung Texture Classification in CT Using Hadoop. | 3 | 0.44 | 2016 |
| A 3-D Riesz-Covariance Texture Model for Prediction of Nodule Recurrence in Lung CT. | 1 | 0.37 | 2016 |
| Multidimensional Texture Analysis for Improved Prediction of Ultrasound Liver Tumor Response to Chemotherapy Treatment. | 0 | 0.34 | 2016 |
| Optimized steerable wavelets for texture analysis of lung tissue in 3-D CT: Classification of usual interstitial pneumonia | 6 | 0.61 | 2015 |
| Hierarchic Anatomical Structure Segmentation Guided by Spatial Correlations (AnatSeg-Gspac): VISCERAL Anatomy3. | 3 | 0.39 | 2015 |
| USYD/HES-SO in the VISCERAL Retrieval Benchmark. | 3 | 0.46 | 2015 |
| Combining Unsupervised Feature Learning and Riesz Wavelets for Histopathology Image Representation: Application to Identifying Anaplastic Medulloblastoma. | 4 | 0.45 | 2015 |
| Efficient and fully automatic segmentation of the lungs in CT volumes. | 5 | 0.48 | 2015 |
| Pulmonary embolism detection using localized vessel-based features in dual energy CT | 1 | 0.39 | 2015 |
| Texture classification of anatomical structures in CT using a context-free machine learning approach | 0 | 0.34 | 2015 |
| Retrieval of high-dimensional visual data: current state, trends and challenges ahead | 1 | 0.35 | 2014 |
| On combining image-based and ontological semantic dissimilarities for medical image retrieval applications. | 20 | 0.79 | 2014 |
| Three-dimensional solid texture analysis in biomedical imaging: review and opportunities. | 25 | 1.31 | 2014 |
| A semantic framework for the retrieval of similar radiological images based on medical annotations | 0 | 0.34 | 2014 |
| Enhanced Visualization Of Pulmonary Perfusion In 4d Dual Energy Ct Images | 1 | 0.39 | 2014 |
| Predicting Visual Semantic Descriptive Terms From Radiological Image Data: Preliminary Results With Liver Lesions in CT | 13 | 0.62 | 2014 |
| Rotation–Covariant Texture Learning Using Steerable Riesz Wavelets | 21 | 0.80 | 2014 |
| Mobile image upload for radiology. | 0 | 0.34 | 2013 |
| Epileptogenic Lesion Quantification in MRI Using Contralateral 3D Texture Comparisons. | 1 | 0.35 | 2013 |
| Rotation-covariant texture analysis of 4D dual-energy CT as an indicator of local pulmonary perfusion | 7 | 0.67 | 2013 |
| Benefits of texture analysis of dual energy CT for Computer-Aided pulmonary embolism detection. | 3 | 0.57 | 2013 |
| Three dimensional multi-scale visual words for texture-based cerebellum segmentation | 1 | 0.35 | 2012 |
| Case-Based Lung Image Categorization And Retrieval For Interstitial Lung Diseases: Clinical Workflows | 8 | 0.74 | 2012 |
| Building a reference multimedia database for interstitial lung diseases. | 38 | 2.29 | 2012 |
| Mobile medical visual information retrieval. | 13 | 0.76 | 2012 |
| Retrieval of 4d dual energy CT for pulmonary embolism diagnosis | 5 | 0.59 | 2012 |
| Multiscale lung texture signature learning using the Riesz transform. | 9 | 0.57 | 2012 |
| Using MapReduce for Large-Scale Medical Image Analysis | 9 | 0.48 | 2012 |
