News and Updates
- 12.24.23: Research article on image segmentation got accepted in Computer Vision and Image Understanding journal
- 09.16.23: Successfully defended my Master's thesis!
- 08.03.23: Recieved my CPD certified certificate of particiaption for Oxford Machine Learning Summer School, 2023
- 07.16.23: Finished the MLxHealth track from Oxford Machine Learning Summer School, 2023. Great Experience!
- 06.22.23: Research paper on medical image segmentation got accepted in Biomedical Signal Processing and Control journal
- 04.15.23: Got accepted into the Oxford Machine Learning Summer School (OxML 2023). Registered for the MLxHealth track.
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Publications
Representative papers are highlighted.
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Twin-SegNet: Dynamically coupled complementary segmentation networks for generalized medical image segmentation
Shahed Ahmed,
Md.Kamrul Hasan
Computer Vision and Image Understanding, 2024
We propose a dual-stream segmentation model, Twin-SegNet that performs both foreground and background tissue segmentation, and unifies them through a dynamic partial channel recalibration technique.
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COMA-Net: Towards generalized medical image segmentation using complementary attention guided bipolar refinement modules
Shahed Ahmed,
Md.Kamrul Hasan
Biomedical Signal Processing and Control, 2023
We propose COMA-Net for achieving generalized medical image segmentation. We show that increasing the strength of foreground tissue w.r.t. the background at the feature space is beneficial to overall segmentation performance.
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S2C-DeLeNet: A parameter transfer based segmentation-classification integration for detecting skin cancer lesions from dermoscopic images
Jahin Alam, Mir Sayeed Mohammad, Md Adnan Faisal Hossain, Ishtiaque Ahmed Showmik, Munshi Sanowar Raihan,
Shahed Ahmed, Talha Ibn Mahmud
Computers in Biology and Medicine, 2022
A novel framework is proposed that unifies classification and segmentation strategies for efficient skin lesion segmentation.
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CapNet: A Deep Learning-based Framework for Estimation of Capnograph Signal from PPG
Shahed Ahmed, Md. Tariqul Islam, Soumav Biswas, Rayhan Hayther Samrat, Tafhimul Islam Akash, Arik Subhana, Celia Shahnaz
EMBC, 2022 (oral presentation)
A CNN-LSTM hybrid architecture is proposed that is capable of mapping PPG signals to corresponding capnograph sequences.
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A Deep Learning Scheme for Detecting Atrial Fibrillation Based on Fusion of Raw and Discrete Wavelet Transformed ECG Features
Md Awsafur Rahman, Shahed Ahmed, Shaikh Anowarul Fattah
EMBC, 2022
We demonstrate that using the DWT features alongside the original ECG signal helps improve Atrial Fibrillation (AF) classification performance.
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An Approach for Analyzing Cognitive Behavior of Autism Spectrum Disorder Using P300 BCI Data
Nabila Tasnim, Joyita Halder,
Shahed Ahmed, Shaikh Anowarul Fattah
IEEE Region 10 Symposium (Tensymp), 2022
We perform analysis on the EEG data of ASD patients going through rehabilitation from the BCIAUT-P300 dataset and report some interesting trends.
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A Siamese Based One Shot Learning Network with a Watermark Enhancement Technique for Historical Watermark Recognition
Sawradip Saha, Utsab Saha, Swojan Datta Sammya,
Shahed Ahmed, Shaikh Anowarul Fattah
IEEE Region 10 Symposium (Tensymp), 2022
An image pre-processing technique is used to improve the classification accuracy of a Siamese-based one-shot learning framework.
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DSWE-Net: A deep learning approach for shear wave elastography and lesion segmentation using single push acoustic radiation force
Shahed Ahmed, Uday Kamal,
Md.Kamrul Hasan
Ultrasonics, 2021
The proposed DSWE-Net has shown great promise in producing Shear Wave Elastography (SWE) images from scatterer motion data induced by a single Acoustic Radiation Force (ARF) push.
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Website adapted from here.
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