R. Agarwal; MH. Yap; MK Hasan; R. Zwiggelaar; R. Martí. " Deep Learning in Mammography Breast Cancer Detection ." Artificial Intelligence in Medicine. (DEU): Springer Nature, 2021. Martí, J.; Gubern-Mérida, A.; Massich, J.; Oliver, A.; Vilanova, JC.; Comet, J.; Pérez. E.; Arzoz, M.; Martí, R.; " Ultrasound image analysis. Methods and applications ." A recent advances in Biomedical signal processing. (000): , 2011. Pons, G.; Martí, J.; Martí, R.; Noble, J.A. " Simultaneous lesion segmentation and bias correction in breast ultrasound images ." . Berlin (DEU): Springer-Verlag Heidelberg, 2011. Torrent, A.; Bardera, A.; Oliver, A.; Freixenet, J.; Boada, I.; Feixas, M.; Martí, R.; Lladó, X.; Pont, J.; Pérez, E.; Pedraza, S.; Marti, J. " Breast density segmentation: a comparison of clustering and region based techniques ." Proceedings.Lecture Notes in Computer Science : Informática, volume 5116/2010.Krupinski, E.A (Ed.): Digital mammography: 9th International workshop: I. (DEU): Springer-Verlag, 2008. Marti, R.; Rubin,C.; Denton,E.; Zwiggelaar, R. " A Mammographic Registration Framework Based on Anatomical Linear Structures ." Recent Advances in Breast Imaging, Mammography, and Computer-Aided Diagnosis of Breast Cancer (SPIE Press Monograph Vol. PM155) by Jasjit S. Suri and . (USA): SPIE, 2006.
Martí, J.; Oliver, A.; Freixenet, J.; Martí, R.; Digital mammography, Proceding of 10th Inetrnational Workshop. Lectures notes in computer science. Girona (ESP): , 2010.