77 citations · 105 across the 11 of their papers we have counts for
6 papers · 1 filter
Data Efficient Contrastive Learning in Histopathology using Active Sampling
Tahsin Reasat, Asif Sushmit, David S. Smith
Deep learning (DL) based diagnostics systems can provide accurate and robust quantitative analysis in digital pathology. These algorithms require large amounts of annotated trainin…
BaDLAD: A Large Multi-Domain Bengali Document Layout Analysis Dataset
Md. Istiak Hossain Shihab, Md. Rakibul Hasan, Mahfuzur Rahman Emon +14
While strides have been made in deep learning based Bengali Optical Character Recognition (OCR) in the past decade, the absence of large Document Layout Analysis (DLA) datasets has…
A Large Multi-Target Dataset of Common Bengali Handwritten Graphemes
Samiul Alam, Tahsin Reasat, Asif Shahriyar Sushmit +4
Latin has historically led the state-of-the-art in handwritten optical character recognition (OCR) research. Adapting existing systems from Latin to alpha-syllabary languages is pa…
AI Learns to Recognize Bengali Handwritten Digits: Bengali.AI Computer Vision Challenge 2018
Sharif Amit Kamran, Ahmed Imtiaz Humayun, Samiul Alam +4
Solving problems with Artificial intelligence in a competitive manner has long been absent in Bangladesh and Bengali-speaking community. On the other hand, there has not been a wel…
NumtaDB - Assembled Bengali Handwritten Digits
Samiul Alam, Tahsin Reasat, Rashed Mohammad Doha +1
To benchmark Bengali digit recognition algorithms, a large publicly available dataset is required which is free from biases originating from geographical location, gender, and age.…
Detection of Inferior Myocardial Infarction using Shallow Convolutional Neural Networks
Tahsin Reasat, Celia Shahnaz
Myocardial Infarction is one of the leading causes of death worldwide. This paper presents a Convolutional Neural Network (CNN) architecture which takes raw Electrocardiography (EC…