160 citations · 277 across the 22 of their papers we have counts for
6 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…
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…