32 citations · 61 across the 10 of their papers we have counts for
27 papers
Simultaneous Semantic and Instance Segmentation for Colon Nuclei Identification and Counting
Lihao Liu, Chenyang Hong, Angelica I. Aviles-Rivero +1
We address the problem of automated nuclear segmentation, classification, and quantification from Haematoxylin and Eosin stained histology images, which is of great relevance for s…
Multi-modal learning for predicting the genotype of glioma
Yiran Wei, Xi Chen, Lei Zhu +4
The isocitrate dehydrogenase (IDH) gene mutation is an essential biomarker for the diagnosis and prognosis of glioma. It is promising to better predict glioma genotype by integrati…
Unsupervised Clustering of Roman Potsherds via Variational Autoencoders
Simone Parisotto, Ninetta Leone, Carola-Bibiane Schönlieb +1
In this paper we propose an artificial intelligence imaging solution to support archaeologists in the classification task of Roman commonware potsherds. Usually, each potsherd is r…
Gaussian random fields on non-separable Banach spaces
Yury Korolev, Jonas Latz, Carola-Bibiane Schönlieb
We study Gaussian random fields on certain Banach spaces and investigate conditions for their existence. Our results apply inter alia to spaces of Radon measures and Hölder functio…
Learning convex regularizers satisfying the variational source condition for inverse problems
Subhadip Mukherjee, Carola-Bibiane Schönlieb, Martin Burger
Variational regularization has remained one of the most successful approaches for reconstruction in imaging inverse problems for several decades. With the emergence and astonishing…
Adaptive unsupervised learning with enhanced feature representation for intra-tumor partitioning and survival prediction for glioblastoma
Yifan Li, Chao Li, Yiran Wei +3
Glioblastoma is profoundly heterogeneous in regional microstructure and vasculature. Characterizing the spatial heterogeneity of glioblastoma could lead to more precise treatment.…