activity
20172025
most citedDetection of Inferior Myocardial Infarction using Shallow Convolutional Neural Networks

77 citations · 105 across the 11 of their papers we have counts for

collaborators

12 papers

cs.CL2025

Are ASR foundation models generalized enough to capture features of regional dialects for low-resource languages?

Tawsif Tashwar Dipto, Azmol Hossain, Rubayet Sabbir Faruque +12

Conventional research on speech recognition modeling relies on the canonical form for most low-resource languages while automatic speech recognition (ASR) for regional dialects is…

cs.CL2025

Script Fragmentation and Format: What Drives the English-Bengali Performance Gap in Open LLMs?

Shimanto Bhowmik, Tawsif Tashwar Dipto, Md Sazzad Islam +2

Bengali is spoken by more than 230 million people, yet no standardized instrument evaluates large language models (LLMs) on Bengali across the task categories used to benchmark fro…

eess.IV2024

MSTT-199: MRI Dataset for Musculoskeletal Soft Tissue Tumor Segmentation

Tahsin Reasat, Stephen Chenard, Akhil Rekulapelli +5

Accurate musculoskeletal soft tissue tumor segmentation is vital for assessing tumor size, location, diagnosis, and response to treatment, thereby influencing patient outcomes. How…

cs.CL2023★ 2 cited

Unicode Normalization and Grapheme Parsing of Indic Languages

Nazmuddoha Ansary, Quazi Adibur Rahman Adib, Tahsin Reasat +6

Writing systems of Indic languages have orthographic syllables, also known as complex graphemes, as unique horizontal units. A prominent feature of these languages is these complex…

eess.AS2023

OOD-Speech: A Large Bengali Speech Recognition Dataset for Out-of-Distribution Benchmarking

Fazle Rabbi Rakib, Souhardya Saha Dip, Samiul Alam +11

We present OOD-Speech, the first out-of-distribution (OOD) benchmarking dataset for Bengali automatic speech recognition (ASR). Being one of the most spoken languages globally, Ben…

cs.CV2023

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…

cs.CV2023★ 1 cited

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…

cs.CL2022★ 10 cited

Bengali Common Voice Speech Dataset for Automatic Speech Recognition

Samiul Alam, Asif Sushmit, Zaowad Abdullah +6

Bengali is one of the most spoken languages in the world with over 300 million speakers globally. Despite its popularity, research into the development of Bengali speech recognitio…

cs.CV2020★ 15 cited

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…

cs.CV2018

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…

cs.CV2018

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.…

cs.CV2017★ 77 cited

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…