3 papers
cs.CV2019
Perceptual Embedding Consistency for Seamless Reconstruction of Tilewise Style Transfer
Amal Lahiani, Nassir Navab, Shadi Albarqouni +1
Style transfer is a field with growing interest and use cases in deep learning. Recent work has shown Generative Adversarial Networks(GANs) can be used to create realistic images o…
cs.CV2018
Virtualization of tissue staining in digital pathology using an unsupervised deep learning approach
Amal Lahiani, Jacob Gildenblat, Irina Klaman +3
Histopathological evaluation of tissue samples is a key practice in patient diagnosis and drug development, especially in oncology. Historically, Hematoxylin and Eosin (H&E) has be…
cs.CV2018
Generalizing multistain immunohistochemistry tissue segmentation using one-shot color deconvolution deep neural networks
Amal Lahiani, Jacob Gildenblat, Irina Klaman +2
A key challenge in cancer immunotherapy biomarker research is quantification of pattern changes in microscopic whole slide images of tumor biopsies. Different cell types tend to mi…