Rundo, Leonardo

Combining Noise-to-Image and Image-to-Image GANs: Brain MR Image Augmentation for Tumor Detection

Han, C., Rundo, L., Araki, R., Nagano, Y., Furukawa, Y., Mauri, G., Nakayama, H., & Hayashi, H. (2019) · IEEE Access

Brain Tumor Detection and ClassificationGenerative Adversarial Networks and Image Synthesis

Cited by 253

Focus U-Net: A novel dual attention-gated CNN for polyp segmentation during colonoscopy

Yeung, M., Sala, E., Schönlieb, C.-B., & Rundo, L. (2021) · Computers in Biology and Medicine

Colorectal Cancer Screening and DetectionAI in cancer detection

Cited by 186

Recent advances of HCI in decision-making tasks for optimized clinical workflows and precision medicine

Rundo, L., Pirrone, R., Vitabile, S., Sala, E., & Gambino, O. (2020) · Journal of Biomedical Informatics

Artificial Intelligence in Healthcare and EducationElectronic Health Records Systems

Cited by 113

A semi-automatic approach for epicardial adipose tissue segmentation and quantification on cardiac CT scans

Militello, C., Rundo, L., Toia, P., Conti, V., Russo, G., Filorizzo, C., Maffei, E., Cademartiri, F., La Grutta, L., Midiri, M., et al. (2019) · Computers in Biology and Medicine

Cardiovascular Disease and AdiposityMedical Image Segmentation Techniques

Cited by 71

Calibrating ensembles for scalable uncertainty quantification in deep learning-based medical image segmentation

Buddenkotte, T., Escudero Sanchez, L., Crispin-Ortuzar, M., Woitek, R., McCague, C., Brenton, J. D., Öktem, O., Sala, E., & Rundo, L. (2023) · Computers in Biology and Medicine

Medical Image Segmentation TechniquesAdvanced Neural Network Applications

Cited by 42