Ranveer Joyseeree

According to our database, Ranveer Joyseeree authored at least 9 papers between 2013 and 2019.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2019

Fusing learned representations from Riesz Filters and Deep CNN for lung tissue classification.

Ranveer Joyseeree, Sebastian Otálora, Henning Müller, Adrien Depeursinge

Medical Image Anal., 2019

2018

Rotation-covariant tissue analysis for interstitial lung diseases using learned steerable filters: Performance evaluation and relevance for diagnostic aid.

Ranveer Joyseeree, Henning Müller, Adrien Depeursinge

Comput. Medical Imaging Graph., 2018

2016

GPU-Accelerated Texture Analysis Using Steerable Riesz Wavelets.

Anamaria Vizitiu, Lucian Mihai Itu, Ranveer Joyseeree, Adrien Depeursinge, Henning Müller, Constantin Suciu

Proceedings of the 24th Euromicro International Conference on Parallel, 2016

A Demo of multimodal medical retrieval.

Ranveer Joyseeree, Roger Schaer, Henning Müller

Proceedings of the 14th International Workshop on Content-Based Multimedia Indexing, 2016

2015

Locating seed points for automatic multi-organ segmentation using non-rigid registration and organ annotations.

Ranveer Joyseeree, Henning Müller

Proceedings of the Medical Imaging 2015: Image Processing, 2015

Applying Machine Learning to Gait Analysis Data for Disease Identification.

Ranveer Joyseeree, Rami Abou Sabha, Henning Müller

Proceedings of the Digital Healthcare Empowering Europeans, 2015

Semi-supervised Learning for Image Modality Classification.

Alba Garcia Seco de Herrera, Dimitrios Markonis, Ranveer Joyseeree, Roger Schaer, Antonio Foncubierta-Rodríguez, Henning Müller

Proceedings of the Multimodal Retrieval in the Medical Domain, 2015

2014

Finding seed points for organ segmentation using example annotations.

Ranveer Joyseeree, Henning Müller

Proceedings of the Medical Imaging 2014: Image Processing, 2014

2013

Using Probability Maps for Multi-organ Automatic Segmentation.

Ranveer Joyseeree, Oscar Alfonso Jiménez del Toro, Henning Müller

Proceedings of the Medical Computer Vision. Large Data in Medical Imaging, 2013