160 citations · 607 across the 73 of their papers we have counts for
10 papers · 1 filter
Yottixel -- An Image Search Engine for Large Archives of Histopathology Whole Slide Images
S. Kalra, C. Choi, S. Shah +2
With the emergence of digital pathology, searching for similar images in large archives has gained considerable attention. Image retrieval can provide pathologists with unprecedent…
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…
Learning Permutation Invariant Representations using Memory Networks
Shivam Kalra, Mohammed Adnan, Graham Taylor +1
Many real-world tasks such as classification of digital histopathology images and 3D object detection involve learning from a set of instances. In these cases, only a group of inst…
Subtractive Perceptrons for Learning Images: A Preliminary Report
H. R. Tizhoosh, Shivam Kalra, Shalev Lifshitz +1
In recent years, artificial neural networks have achieved tremendous success for many vision-based tasks. However, this success remains within the paradigm of \emph{weak AI} where…
A Compact Representation of Histopathology Images using Digital Stain Separation & Frequency-Based Encoded Local Projections
Alison K. Cheeseman, Hamid Tizhoosh, Edward R. Vrscay
In recent years, histopathology images have been increasingly used as a diagnostic tool in the medical field. The process of accurately diagnosing a biopsy sample requires signific…
Atrial Fibrillation Detection Using Deep Features and Convolutional Networks
Sara Ross-Howe, H. R. Tizhoosh
Atrial fibrillation is a cardiac arrhythmia that affects an estimated 33.5 million people globally and is the potential cause of 1 in 3 strokes in people over the age of 60. Detect…
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…
Projectron -- A Shallow and Interpretable Network for Classifying Medical Images
Aditya Sriram, Shivam Kalra, H. R. Tizhoosh
This paper introduces the `Projectron' as a new neural network architecture that uses Radon projections to both classify and represent medical images. The motivation is to build sh…
Automatic Classification of Pathology Reports using TF-IDF Features
Shivam Kalra, Larry Li, Hamid R. Tizhoosh
A Pathology report is arguably one of the most important documents in medicine containing interpretive information about the visual findings from the patient's biopsy sample. Each…