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2020 – today
- 2020
[c3]Vincenzo Della Mea
, David Pilutti:
Classification of Histologic Images Using a Single Staining: Experiments with Deep Learning on Deconvolved Images. MIE 2020: 1223-1224
2010 – 2019
- 2017
- [j3]David Pilutti, Vincenzo Della Mea, Enrico Pegolo, Francesco La Marra, Fulvio Antoniazzi, Carla Di Loreto:
An adaptive positivity thresholding method for automated Ki67 hotspot detection (AKHoD) in breast cancer biopsies. Comput. Medical Imaging Graph. 61: 28-34 (2017) - 2016
- [b1]David Pilutti:
Non-parametric Bayesian Spatial Normalization in Medical Imaging. University of Freiburg, Germany, 2016 - [j2]David Pilutti, Maddalena Strumia, Martin Buechert, Stathis Hadjidemetriou:
Non-Parametric Bayesian Registration (NParBR) of Body Tumors in DCE-MRI Data. IEEE Trans. Medical Imaging 35(4): 1025-1035 (2016) - 2014
- [j1]David Pilutti, Maddalena Strumia, Stathis Hadjidemetriou:
Bimodal Nonrigid Registration of Brain MRI Data With Deconvolution of Joint Statistics. IEEE Trans. Image Process. 23(9): 3999-4009 (2014) - 2013
- [c2]David Pilutti, Martin Buechert, Stathis Hadjidemetriou:
Registration of abdominal tumor DCE-MRI data based on deconvolution of joint statistics. EMBC 2013: 2611-2614 - [c1]David Pilutti, Maddalena Strumia, Stathis Hadjidemetriou:
Bi-modal Non-rigid Registration of Brain MRI Data Based on Deconvolution of Joint Statistics. MBIA 2013: 40-50
Coauthor Index
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