Using Probability Maps for Multi-organ Automatic Segmentation. - Ranveer Joyseeree; Oscar Alfonso Jiménez del Toro; Henning Müller (MCV, 2013)

Finding seed points for organ segmentation using example annotations. - Ranveer Joyseeree; Henning Müller (Image Processing, 2014)

Semi-supervised Learning for Image Modality Classification. - Alba Garcia Seco de Herrera; Dimitrios Markonis; Ranveer Joyseeree; Roger Schaer; Antonio Foncubierta-Rodríguez; Henning Müller (MRDM@ECIR, 2015)

Applying Machine Learning to Gait Analysis Data for Disease Identification. - Ranveer Joyseeree; Rami Abou Sabha; Henning Müller (MIE, 2015)

Locating seed points for automatic multi-organ segmentation using non-rigid registration and organ annotations. - Ranveer Joyseeree; Henning Müller (Image Processing, 2015)

A Demo of multimodal medical retrieval. - Ranveer Joyseeree; Roger Schaer; Henning Müller (CBMI, 2016)

GPU-Accelerated Texture Analysis Using Steerable Riesz Wavelets. - Anamaria Vizitiu; Lucian Mihai Itu; Ranveer Joyseeree; Adrien Depeursinge; Henning Müller; Constantin Suciu (PDP, 2016)

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)

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)