activity
20082023
most citedMultiResUNet : Rethinking the U-Net Architecture for Multimodal Biomedical Image Segmentation

2.4k citations · 2.7k across the 32 of their papers we have counts for

collaborators

35 papers

cs.CV2023

Image Contrast Enhancement using Fuzzy Technique with Parameter Determination using Metaheuristics

Mohimenul Kabir, Jaiaid Mobin, Ahmad Hassanat +1

In this work, we have presented a way to increase the contrast of an image. Our target is to find a transformation that will be image specific. We have used a fuzzy system as our t…

eess.IV2022★ 5 cited

Lung-Originated Tumor Segmentation from Computed Tomography Scan (LOTUS) Benchmark

Parnian Afshar, Arash Mohammadi, Konstantinos N. Plataniotis +22

Lung cancer is one of the deadliest cancers, and in part its effective diagnosis and treatment depend on the accurate delineation of the tumor. Human-centered segmentation, which i…

eess.IV2021

Segmentation of Lung Tumor from CT Images using Deep Supervision

Farhanaz Farheen, Md. Salman Shamil, Nabil Ibtehaz +1

Lung cancer is a leading cause of death in most countries of the world. Since prompt diagnosis of tumors can allow oncologists to discern their nature, type and the mode of treatme…

cs.DS2021

Counting and Verifying Abelian Border Arrays of Binary Words

Mursalin Habib, Md. Salman Shamil, M. Sohel Rahman

In this note, we consider the problem of counting and verifying abelian border arrays of binary words. We show that the number of valid abelian border arrays of length \(n\) is \(2…

eess.SP2020★ 14 cited

PPG2ABP: Translating Photoplethysmogram (PPG) Signals to Arterial Blood Pressure (ABP) Waveforms using Fully Convolutional Neural Networks

Nabil Ibtehaz, Sakib Mahmud, Muhammad E. H. Chowdhury +4

Cardiovascular diseases are one of the most severe causes of mortality, taking a heavy toll of lives annually throughout the world. The continuous monitoring of blood pressure seem…

cs.LG2019

Neural Network Based Undersampling Techniques

Md. Adnan Arefeen, Sumaiya Tabassum Nimi, M Sohel Rahman

Class imbalance problem is commonly faced while developing machine learning models for real-life issues. Due to this problem, the fitted model tends to be biased towards the majori…