activity
20052020
most citedCAPRI: Efficient Inference of Cancer Progression Models from Cross-sectional Data

107 citations · 419 across the 22 of their papers we have counts for

collaborators

24 papers

cs.DS2020

Complexity Issues of String to Graph Approximate Matching

Riccardo Dondi, Giancarlo Mauri, Italo Zoppis

The problem of matching a query string to a directed graph, whose vertices are labeled by strings, has application in different fields, from data mining to computational biology. S…

eess.IV2019

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

Changhee Han, Leonardo Rundo, Ryosuke Araki +5

Convolutional Neural Networks (CNNs) achieve excellent computer-assisted diagnosis with sufficient annotated training data. However, most medical imaging datasets are small and fra…

cs.CV2019★ 1 cited

USE-Net: incorporating Squeeze-and-Excitation blocks into U-Net for prostate zonal segmentation of multi-institutional MRI datasets

Leonardo Rundo, Changhee Han, Yudai Nagano +12

Prostate cancer is the most common malignant tumors in men but prostate Magnetic Resonance Imaging (MRI) analysis remains challenging. Besides whole prostate gland segmentation, th…

cs.CV2019★ 1 cited

CNN-based Prostate Zonal Segmentation on T2-weighted MR Images: A Cross-dataset Study

Leonardo Rundo, Changhee Han, Jin Zhang +10

Prostate cancer is the most common cancer among US men. However, prostate imaging is still challenging despite the advances in multi-parametric Magnetic Resonance Imaging (MRI), wh…

cs.CV2019★ 5 cited

Infinite Brain MR Images: PGGAN-based Data Augmentation for Tumor Detection

Changhee Han, Leonardo Rundo, Ryosuke Araki +4

Due to the lack of available annotated medical images, accurate computer-assisted diagnosis requires intensive Data Augmentation (DA) techniques, such as geometric/intensity transf…

q-bio.GN2018

GenHap: A Novel Computational Method Based on Genetic Algorithms for Haplotype Assembly

Andrea Tangherloni, Simone Spolaor, Leonardo Rundo +6

The computational problem of inferring the full haplotype of a cell starting from read sequencing data is known as haplotype assembly, and consists in assigning all heterozygous Si…