25 citations · 111 across the 22 of their papers we have counts for
11 papers · 1 filter
An Investigation into Glomeruli Detection in Kidney H&E and PAS Images using YOLO
Kimia Hemmatirad, Morteza Babaie, Jeffrey Hodgin +2
Context: Analyzing digital pathology images is necessary to draw diagnostic conclusions by investigating tissue patterns and cellular morphology. However, manual evaluation can be…
Immunohistochemistry Biomarkers-Guided Image Search for Histopathology
Abubakr Shafique, Morteza Babaie, Ricardo Gonzalez +1
Medical practitioners use a number of diagnostic tests to make a reliable diagnosis. Traditionally, Haematoxylin and Eosin (H&E) stained glass slides have been used for cancer diag…
Composite Biomarker Image for Advanced Visualization in Histopathology
Abubakr Shafique, Morteza Babaie, Ricardo Gonzalez +3
Immunohistochemistry (IHC) biomarkers are essential tools for reliable cancer diagnosis and subtyping. It requires cross-staining comparison among Whole Slide Images (WSIs) of IHCs…
Automatic Multi-Stain Registration of Whole Slide Images in Histopathology
Abubakr Shafique, Morteza Babaie, Mahjabin Sajadi +3
Joint analysis of multiple biomarker images and tissue morphology is important for disease diagnosis, treatment planning and drug development. It requires cross-staining comparison…
Colored Kimia Path24 Dataset: Configurations and Benchmarks with Deep Embeddings
Sobhan Shafiei, Morteza Babaie, Shivam Kalra +1
The Kimia Path24 dataset has been introduced as a classification and retrieval dataset for digital pathology. Although it provides multi-class data, the color information has been…
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…
Pan-Cancer Diagnostic Consensus Through Searching Archival Histopathology Images Using Artificial Intelligence
Shivam Kalra, H. R. Tizhoosh, Sultaan Shah +8
The emergence of digital pathology has opened new horizons for histopathology and cytology. Artificial-intelligence algorithms are able to operate on digitized slides to assist pat…
Patch Clustering for Representation of Histopathology Images
Wafa Chenni, Habib Herbi, Morteza Babaie +1
Whole Slide Imaging (WSI) has become an important topic during the last decade. Even though significant progress in both medical image processing and computational resources has be…
Deep Features for Tissue-Fold Detection in Histopathology Images
Morteza Babaie, H. R. Tizhoosh
Whole slide imaging (WSI) refers to the digitization of a tissue specimen which enables pathologists to explore high-resolution images on a monitor rather than through a microscope…
Deep Barcodes for Fast Retrieval of Histopathology Scans
Meghana Dinesh Kumar, Morteza Babaie, Hamid Tizhoosh
We investigate the concept of deep barcodes and propose two methods to generate them in order to expedite the process of classification and retrieval of histopathology images. Sinc…