1 citations · 1 across the 6 of their papers we have counts for
6 papers
Engineering FAIR Privacy-preserving Applications that Learn Histories of Disease
Ines N. Duarte, Praphulla M. S. Bhawsar, Lee K. Mason +4
A recent report on "Learning the natural history of human disease with generative transformers" created an opportunity to assess the engineering challenge of delivering user-facing…
Fractal Language Modelling by Universal Sequence Maps (USM)
Jonas S Almeida, Daniel E Russ, Susana Vinga +6
Motivation: With the advent of Language Models using Transformers, popularized by ChatGPT, there is a renewed interest in exploring encoding procedures that numerically represent s…
Crown-Like Structures in Breast Adipose Tissue: Finding a 'Needle-in-a-Haystack' using Artificial Intelligence and Collaborative Active Learning on the Web
Praphulla MS Bhawsar, Cody Ramin, Petra Lenz +8
Crown-like structures (CLS) in breast adipose tissue are formed as a result of macrophages clustering around necrotic adipocytes in specific patterns. As a histologic marker of loc…
TMA-Grid: An open-source, zero-footprint web application for FAIR Tissue MicroArray De-arraying
Aaron Ge, Monjoy Saha, Maire A. Duggan +6
Background: Tissue Microarrays (TMAs) significantly increase analytical efficiency in histopathology and large-scale epidemiologic studies by allowing multiple tissue cores to be s…
Finding Regions of Interest in Whole Slide Images Using Multiple Instance Learning
Martim Afonso, Praphulla M. S. Bhawsar, Monjoy Saha +2
Whole Slide Images (WSI), obtained by high-resolution digital scanning of microscope slides at multiple scales, are the cornerstone of modern Digital Pathology. However, they repre…
ImageBox3: No-Server Tile Serving to Traverse Whole Slide Images on the Web
Praphulla MS Bhawsar, Erich Bremer, Máire A Duggan +4
Whole slide imaging (WSI) has become the primary modality for digital pathology data. However, due to the size and high-resolution nature of these images, they are generally only a…