123 citations · 224 across the 7 of their papers we have counts for
7 papers
Self-supervised Disentanglement of Disease Effects from Aging in 3D Medical Shapes
Jakaria Rabbi, Nilanjan Ray, Dana Cobzas
Disentangling pathological changes from physiological aging in 3D medical shapes is crucial for developing interpretable biomarkers and patient stratification. However, this separa…
Disentangling Hippocampal Shape Variations: A Study of Neurological Disorders Using Mesh Variational Autoencoder with Contrastive Learning
Jakaria Rabbi, Johannes Kiechle, Christian Beaulieu +2
This paper presents a comprehensive study focused on disentangling hippocampal shape variations from diffusion tensor imaging (DTI) datasets within the context of neurological diso…
Forecasting Pressure Of Ventilator Using A Hybrid Deep Learning Model Built With Bi-LSTM and Bi-GRU To Simulate Ventilation
Md. Jafril Alam, Jakaria Rabbi, Shamim Ahamed
A ventilator simulation system can make mechanical ventilation easier and more effective. As a result, predicting a patient's ventilator pressure is essential when designing a simu…
Bangla Natural Language Processing: A Comprehensive Analysis of Classical, Machine Learning, and Deep Learning Based Methods
Ovishake Sen, Mohtasim Fuad, MD. Nazrul Islam +8
The Bangla language is the seventh most spoken language, with 265 million native and non-native speakers worldwide. However, English is the predominant language for online resource…
Human Activity Analysis and Recognition from Smartphones using Machine Learning Techniques
Jakaria Rabbi, Md. Tahmid Hasan Fuad, Md. Abdul Awal
Human Activity Recognition (HAR) is considered a valuable research topic in the last few decades. Different types of machine learning models are used for this purpose, and this is…
Recent Advances in Deep Learning Techniques for Face Recognition
Md. Tahmid Hasan Fuad, Awal Ahmed Fime, Delowar Sikder +7
In recent years, researchers have proposed many deep learning (DL) methods for various tasks, and particularly face recognition (FR) made an enormous leap using these techniques. D…
Small-Object Detection in Remote Sensing Images with End-to-End Edge-Enhanced GAN and Object Detector Network
Jakaria Rabbi, Nilanjan Ray, Matthias Schubert +2
The detection performance of small objects in remote sensing images is not satisfactory compared to large objects, especially in low-resolution and noisy images. A generative adver…