4 citations · 8 across the 7 of their papers we have counts for
4 papers · 1 filter
Automatic Labels are as Effective as Manual Labels in Biomedical Images Classification with Deep Learning
Niccolò Marini, Stefano Marchesin, Lluis Borras Ferris +12
The increasing availability of biomedical data is helping to design more robust deep learning (DL) algorithms to analyze biomedical samples. Currently, one of the main limitations…
DeeperHistReg: Robust Whole Slide Images Registration Framework
Marek Wodzinski, Niccolò Marini, Manfredo Atzori +1
DeeperHistReg is a software framework dedicated to registering whole slide images (WSIs) acquired using multiple stains. It allows one to perform the preprocessing, initial alignme…
Deep Learning-Based Segmentation of Tumors in PET/CT Volumes: Benchmark of Different Architectures and Training Strategies
Monika Górka, Daniel Jaworek, Marek Wodzinski
Cancer is one of the leading causes of death globally, and early diagnosis is crucial for patient survival. Deep learning algorithms have great potential for automatic cancer analy…
Deep Generative Networks for Heterogeneous Augmentation of Cranial Defects
Kamil Kwarciak, Marek Wodzinski
The design of personalized cranial implants is a challenging and tremendous task that has become a hot topic in terms of process automation with the use of deep learning techniques…