23 citations · 39 across the 4 of their papers we have counts for
4 papers
LILE: Look In-Depth before Looking Elsewhere -- A Dual Attention Network using Transformers for Cross-Modal Information Retrieval in Histopathology Archives
Danial Maleki, H. R Tizhoosh
The volume of available data has grown dramatically in recent years in many applications. Furthermore, the age of networks that used multiple modalities separately has practically…
Fine-Tuning and Training of DenseNet for Histopathology Image Representation Using TCGA Diagnostic Slides
Abtin Riasatian, Morteza Babaie, Danial Maleki +19
Feature vectors provided by pre-trained deep artificial neural networks have become a dominant source for image representation in recent literature. Their contribution to the perfo…
Ink Marker Segmentation in Histopathology Images Using Deep Learning
Danial Maleki, Mehdi Afshari, Morteza Babaie +1
Due to the recent advancements in machine vision, digital pathology has gained significant attention. Histopathology images are distinctly rich in visual information. The tissue gl…
BlockCNN: A Deep Network for Artifact Removal and Image Compression
Danial Maleki, Soheila Nadalian, Mohammad Mahdi Derakhshani +1
We present a general technique that performs both artifact removal and image compression. For artifact removal, we input a JPEG image and try to remove its compression artifacts. F…