Roxane Licandro

According to our database, Roxane Licandro authored at least 13 papers between 2016 and 2024.

Collaborative distances:

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

2024

FISHing in Uncertainty: Synthetic Contrastive Learning for Genetic Aberration Detection.

Simon Gutwein, Martin Kampel, Sabine Taschner-Mandl, Roxane Licandro

Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, 2024

GENUINE: Genomic and Nucleus Information Embedding for Single Cell Genetic Alteration Classification in Microscopic Images.

Simon Gutwein, Martin Kampel, Sabine Taschner-Mandl, Roxane Licandro

Proceedings of the 13th International Conference on Pattern Recognition Applications and Methods, 2024

2023

Fetal brain tissue annotation and segmentation challenge results.

Kelly Payette, Hongwei Bran Li, Priscille de Dumast, Roxane Licandro, Hui Ji, Md Mahfuzur Rahman Siddiquee, Daguang Xu, Andriy Myronenko, Hao Liu, Yuchen Pei, Lisheng Wang, Ying Peng, Juanying Xie, Huiquan Zhang, Guiming Dong, Hao Fu, Guotai Wang, ZunHyan Rieu, Donghyeon Kim, Hyun Gi Kim, Davood Karimi, Ali Gholipour, Helena R. Torres, Bruno Oliveira, João L. Vilaça, Yang Lin, Netanell Avisdris, Ori Ben-Zvi, Dafna Ben-Bashat, Lucas Fidon, Michael Aertsen, Tom Vercauteren, Daniel Sobotka, Georg Langs, Mireia Alenyà, Maria Inmaculada Villanueva, Oscar Camara, Bella Specktor-Fadida, Leo Joskowicz, Liao Weibin, Lv Yi, Xuesong Li, Moona Mazher, Abdul Qayyum, Domenec Puig, Hamza Kebiri, Zelin Zhang, Xinyi Xu, Dan Wu, KuanLun Liao, YiXuan Wu, JinTai Chen, Yunzhi Xu, Li Zhao, Lana Vasung, Bjoern H. Menze, Meritxell Bach Cuadra, András Jakab

Medical Image Anal., August, 2023

2022

Motion correction and volumetric reconstruction for fetal functional magnetic resonance imaging data.

Daniel Sobotka, Michael Ebner, Ernst Schwartz, Karl-Heinz Nenning, Athena Taymourtash, Tom Vercauteren, Sébastien Ourselin, Gregor Kasprian, Daniela Prayer, Georg Langs, Roxane Licandro

NeuroImage, 2022

Fetal Brain Tissue Annotation and Segmentation Challenge Results.

Kelly Payette, Hongwei Li, Priscille de Dumast, Roxane Licandro, Hui Ji, Md Mahfuzur Rahman Siddiquee, Daguang Xu, Andriy Myronenko, Hao Liu, Yuchen Pei, Lisheng Wang, Ying Peng, Juanying Xie, Huiquan Zhang, Guiming Dong, Hao Fu, Guotai Wang, ZunHyan Rieu, Donghyeon Kim, Hyun Gi Kim, Davood Karimi, Ali Gholipour, Helena R. Torres, Bruno Oliveira, João L. Vilaça, Yang Lin, Netanell Avisdris, Ori Ben-Zvi, Dafna Ben-Bashat, Lucas Fidon, Michael Aertsen, Tom Vercauteren, Daniel Sobotka, Georg Langs, Mireia Alenyà, Maria Inmaculada Villanueva, Oscar Camara, Bella Specktor-Fadida, Leo Joskowicz, Weibin Liao, Lv Yi, Xuesong Li, Moona Mazher, Abdul Qayyum, Domenec Puig, Hamza Kebiri, Zelin Zhang, Xinyi Xu, Dan Wu, KuanLun Liao, YiXuan Wu, JinTai Chen, Yunzhi Xu, Li Zhao, Lana Vasung, Bjoern H. Menze, Meritxell Bach Cuadra, András Jakab

CoRR, 2022

2021

4D iterative reconstruction of brain fMRI in the moving fetus.

Athena Taymourtash, Hamza Kebiri, Sébastien Tourbier, Ernst Schwartz, Karl-Heinz Nenning, Roxane Licandro, Daniel Sobotka, Hélène Lajous, Priscille de Dumast, Meritxell Bach Cuadra, Georg Langs

CoRR, 2021

SHREC 2021: Retrieval of cultural heritage objects.

Ivan Sipiran, Patrick Lazo, Cristian Lopez, Milagritos Jimenez, Nihar Bagewadi, Benjamin Bustos, Hieu Dao, Shankar Gangisetty, Martin Hanik, Ngoc-Phuong Ho-Thi, Mike Holenderski, Dmitri Jarnikov, Arniel Labrada, Stefan Lengauer, Roxane Licandro, Dinh-Huan Nguyen, Thang-Long Nguyen-Ho, Luis A. Pérez Rey, Bang-Dang Pham, Reinhold Preiner, Tobias Schreck, Quoc-Huy Trinh, Loek Tonnaer, Christoph von Tycowicz, The-Anh Vu-Le

Comput. Graph., 2021

2019

Reproducibility of Functional Connectivity Estimates in Motion Corrected Fetal fMRI.

Daniel Sobotka, Roxane Licandro, Michael Ebner, Ernst Schwartz, Tom Vercauteren, Sébastien Ourselin, Gregor Kasprian, Daniela Prayer, Georg Langs

Proceedings of the Smart Ultrasound Imaging and Perinatal, Preterm and Paediatric Image Analysis, 2019

2018

Predicting Future Bone Infiltration Patterns in Multiple Myeloma.

Roxane Licandro, Johannes Hofmanninger, Marc-André Weber, Björn H. Menze, Georg Langs

Proceedings of the Patch-Based Techniques in Medical Imaging, 2018

Application of Machine Learning for Automatic MRD Assessment in Paediatric Acute Myeloid Leukaemia.

Roxane Licandro, Michael Reiter, Markus Diem, Michael N. Dworzak, Angela Schumich, Martin Kampel

Proceedings of the 7th International Conference on Pattern Recognition Applications and Methods, 2018

WGAN Latent Space Embeddings for Blast Identification in Childhood Acute Myeloid Leukaemia.

Roxane Licandro, Thomas Schlegl, Michael Reiter, Markus Diem, Michael N. Dworzak, Angela Schumich, Georg Langs, Martin Kampel

Proceedings of the 24th International Conference on Pattern Recognition, 2018

2017

Assessing Reorganisation of Functional Connectivity in the Infant Brain.

Roxane Licandro, Karl-Heinz Nenning, Ernst Schwartz, Kathrin Kollndorfer, Lisa Bartha-Doering, Hesheng Liu, Georg Langs

Proceedings of the Fetal, Infant and Ophthalmic Medical Image Analysis, 2017

2016

Flow Cytometry based automatic MRD assessment in Acute Lymphoblastic Leukaemia: Longitudinal evaluation of time-specific cell population models.

Roxane Licandro, Paolo Rota, Michael Reiter, Martin Kampel

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