|
C. Hernandez, Combalia, M., Malvehy, J., and Vilaplana, V., “Sentinel lymph node status prediction using self-attention networks and contrastive learning from routine histology images of primary tumours”, in Medical Imaging with Deep Learning MIDL 2022, 2022. |
|
C. Hernandez, Vilaplana, V., Combalia, M., García, S., Podlipnik, S., Burgos, J., Puig, S., and Malvehy, J., “Sentinel lymph node status prediction with self-attention neural networks using histologies of primary melanoma tumours”, in European Association of Dermato Oncology (EADO 2022), 2022. |
|
M. Combalia, Podlipnik, S., Hernandez, C., García, S., Ficapal, J., Burgos, J., Vilaplana, V., and Malvehy, J., “Artificial intelligence to predict positivity of sentinel lymph node biopsy in melanoma patients”, in European Association of Dermato Oncology (EADO 2022), 2022. |
|
C. Hernandez, Combalia, M., Puig, S., Malvehy, J., and Vilaplana, V., “Contrastive and attention-based multiple instance learning for the prediction of sentinel lymph node status from histopathologies of primary melanoma tumours.”, in Cancer Prevention through early detecTion (Caption) Workshop at 25th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2022), 2022. |
