Biomedical Applications

Type Start End
Internal Jan 2012 Dec 2020
Responsible URL
Verónica Vilaplana

Publications

Combalia M, Vilaplana V. Monte-Carlo Sampling applied to Multiple Instance Learning for Whole Slide Image Classification. In: International Conference on Medical Imaging with Deep Learning. International Conference on Medical Imaging with Deep Learning. Amsterdam, The Netherlands; 2018.
Sánchez I, Vilaplana V. Brain MRI Super-Resolution using Generative Adversarial Networks. In: International Conference on Medical Imaging with Deep Learning. International Conference on Medical Imaging with Deep Learning. Amsterdam, The Netherlands; 2018.
Górriz M, Aparicio A, Raventós B, López-Codina D, Vilaplana V, Sayrol E. Leishmaniasis Parasite Segmentation and Classification Using Deep Learning. In: International Conference on Articulated Motion and Deformable Objects. International Conference on Articulated Motion and Deformable Objects. Palma, Spain; 2018.
Gullón N. Retinal lesions segmentation using CNNs and adversarial training Vilaplana V. 2018 .
Batiste G. Generative Adversarial Networks for Anomaly Detection in Images Vilaplana V. 2018 .
Casamitjana A, Vilaplana V, Petrone P, Molinuevo JLuis, Gispert JD. Shared Latent Structures Between Imaging Features and Biomarkers in Early Stages of Alzheimer’s Disease. In: PRedictive Intelligence in MEdicine. Vol. 11121. PRedictive Intelligence in MEdicine. Springer International Publishing; 2018. pp. 60-67.
Combalia M, Vilaplana V. Monte-Carlo Sampling Applied to Multiple Instance Learning for Histological Image Classification. In: Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support. Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support. Springer International Publishing; 2018. pp. 274-281.
Roselló CBonín. Brain lesion segmentation using Convolutional Neuronal Networks Casamitjana A, Vilaplana V. 2018 . (3.15 MB)
Casamitjana A, Catà M, Sánchez I, Combalia M, Vilaplana V. Cascaded V-Net Using ROI Masks for Brain Tumor Segmentation. In: Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries. BrainLes 2017. Vol. 10670. Crimi A., Bakas S., Kuijf H., Menze B., Reyes M. (eds). Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries. BrainLes 2017. Cham: Springer; 2018. pp. 381-391.
Górriz M, Giró-i-Nieto X, Carlier A, Faure E. Cost-Effective Active Learning for Melanoma Segmentation. In: ML4H: Machine Learning for Health Workshop at NIPS 2017. ML4H: Machine Learning for Health Workshop at NIPS 2017. Long Beach, CA, USA; 2017. (521.82 KB)

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