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ORCIDNabil Ibtehaz
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2020 – today
- 2024
[j15]Shahd Sameer Mohammed Gaben
, Nada Abughanam, Nabil Ibtehaz, Sakib Mahmud, Ghada Al Noaimi, Abdulrahman Alqahtani, Amith Khandakar, Muhammad E. H. Chowdhury:
ExoventQ: A Novel Low-Cost Portable Negative Pressure Ventilator Design and Implementation. IEEE Access 12: 61828-61847 (2024)- [j14]Md. Salman Shamil, Farhanaz Farheen, Nabil Ibtehaz, Irtesam Mahmud Khan, M. Sohel Rahman:
An Agent-Based Modeling of COVID-19: Validation, Analysis, and Recommendations. Cogn. Comput. 16(4): 1723-1734 (2024) - [i17]Nabil Ibtehaz, Ning Yan, Masood S. Mortazavi, Daisuke Kihara:
ACC-ViT : Atrous Convolution's Comeback in Vision Transformers. CoRR abs/2403.04200 (2024) - [i16]Nabil Ibtehaz, Masood S. Mortazavi:
Modally Reduced Representation Learning of Multi-Lead ECG Signals through Simultaneous Alignment and Reconstruction. CoRR abs/2405.19359 (2024) - [i15]Nabil Ibtehaz, Ning Yan, Masood S. Mortazavi, Daisuke Kihara:
Fusion of regional and sparse attention in Vision Transformers. CoRR abs/2406.08859 (2024) - 2023
- [j13]Sakib Mahmud, Nabil Ibtehaz, Amith Khandakar, M. Sohel Rahman, Antonio JR. Gonzales, Tawsifur Rahman, Md. Shafayet Hossain, Md Sakib Abrar Hossain, Md. Ahasan Atick Faisal, Farhan Fuad Abir, Farayi Musharavati, Muhammad Enamul Hoque Chowdhury:
NABNet: A Nested Attention-guided BiConvLSTM network for a robust prediction of Blood Pressure components from reconstructed Arterial Blood Pressure waveforms using PPG and ECG signals. Biomed. Signal Process. Control. 79(Part): 104247 (2023) - [j12]Nabil Ibtehaz, Muhammad Enamul Hoque Chowdhury, Amith Khandakar, Serkan Kiranyaz, M. Sohel Rahman, Susu M. Zughaier:
RamanNet: a generalized neural network architecture for Raman spectrum analysis. Neural Comput. Appl. 35(25): 18719-18735 (2023) - [c4]Nabil Ibtehaz, Daisuke Kihara:
ACC-UNet: A Completely Convolutional UNet Model for the 2020s. MICCAI (3) 2023: 692-702 - [i14]Nabil Ibtehaz, Daisuke Kihara:
ACC-UNet: A Completely Convolutional UNet model for the 2020s. CoRR abs/2308.13680 (2023) - 2022
- [j11]Arafat Rahman, Muhammad Enamul Hoque Chowdhury, Amith Khandakar, Anas M. Tahir, Nabil Ibtehaz, Md. Shafayet Hossain, Serkan Kiranyaz, Junaid Malik, Haya Monawwar, Muhammad Abdul Kadir:
Robust biometric system using session invariant multimodal EEG and keystroke dynamics by the ensemble of self-ONNs. Comput. Biol. Medicine 142: 105238 (2022) - [j10]Farhanaz Farheen, Md. Salman Shamil, Nabil Ibtehaz, M. Sohel Rahman:
Revisiting segmentation of lung tumors from CT images. Comput. Biol. Medicine 144: 105385 (2022) - [j9]Sakib Mahmud, Nabil Ibtehaz, Amith Khandakar, Anas M. Tahir, Tawsifur Rahman, Khandaker Reajul Islam, Md. Shafayet Hossain, M. Sohel Rahman, Farayi Musharavati, Mohamed Arselene Ayari, Mohammad Tariqul Islam, Muhammad Enamul Hoque Chowdhury:
A Shallow U-Net Architecture for Reliably Predicting Blood Pressure (BP) from Photoplethysmogram (PPG) and Electrocardiogram (ECG) Signals. Sensors 22(3): 919 (2022) - [j8]Nabil Ibtehaz, Muhammad Enamul Hoque Chowdhury, Amith Khandakar, Serkan Kiranyaz, M. Sohel Rahman, Anas Tahir, Yazan Qiblawey, Tawsifur Rahman:
EDITH : ECG Biometrics Aided by Deep Learning for Reliable Individual Authentication. IEEE Trans. Emerg. Top. Comput. Intell. 6(4): 928-940 (2022) - [i13]Parnian Afshar, Arash Mohammadi, Konstantinos N. Plataniotis, Keyvan Farahani, Justin S. Kirby, Anastasia Oikonomou, Amir Asif, Leonard Wee, Andre Dekker, Xin Wu, Mohammad Ariful Haque, Shahruk Hossain, Md. Kamrul Hasan, Uday Kamal, Winston H. Hsu, Jhih-Yuan Lin, M. Sohel Rahman, Nabil Ibtehaz, Sh. M. Amir Foisol, Kin-Man Lam, Zhong Guang, Runze Zhang, Sumohana S. Channappayya, Shashank Gupta, Chander Dev:
Lung-Originated Tumor Segmentation from Computed Tomography Scan (LOTUS) Benchmark. CoRR abs/2201.00458 (2022) - [i12]Nabil Ibtehaz, Muhammad Enamul Hoque Chowdhury, Amith Khandakar, Susu M. Zughaier, Serkan Kiranyaz, M. Sohel Rahman:
RamanNet: A generalized neural network architecture for Raman Spectrum Analysis. CoRR abs/2201.09737 (2022) - 2021
- [j7]Tawsifur Rahman, Amith Khandakar, Md Enamul Hoque, Nabil Ibtehaz, Saad Bin Abul Kashem, Reehum Masud, Lutfunnahar Shampa, Mohammad Mehedi Hasan, Mohammad Tariqul Islam, Somaya Al-Máadeed, Susu M. Zughaier, Saif Badran, Suhail A. R. Doi, Muhammad Enamul Hoque Chowdhury:
Development and Validation of an Early Scoring System for Prediction of Disease Severity in COVID-19 Using Complete Blood Count Parameters. IEEE Access 9: 120422-120441 (2021) - [j6]Nabil Ibtehaz, Ishtiaque Ahmed, Md. Sabbir Ahmed, M. Sohel Rahman, Rajeev K. Azad, Md. Shamsuzzoha Bayzid:
SSG-LUGIA: Single Sequence based Genome Level Unsupervised Genomic Island Prediction Algorithm. Briefings Bioinform. 22(6) (2021) - [j5]Iram Tazim Hoque, Nabil Ibtehaz, Saumitra Chakravarty, Mohammad Saifur Rahman, M. Sohel Rahman:
A contour property based approach to segment nuclei in cervical cytology images. BMC Medical Imaging 21(1): 15 (2021) - [j4]Anas M. Tahir, Muhammad Enamul Hoque Chowdhury, Amith Khandakar, Tawsifur Rahman, Yazan Qiblawey, Uzair Khurshid, Serkan Kiranyaz, Nabil Ibtehaz, M. Sohel Rahman, Somaya Al-Máadeed, Sakib Mahmud, Maymouna Ezeddin, Khaled Hameed, Tahir Hamid:
COVID-19 infection localization and severity grading from chest X-ray images. Comput. Biol. Medicine 139: 105002 (2021) - [j3]Nabil Ibtehaz, M. Kaykobad, M. Sohel Rahman:
Multidimensional segment trees can do range updates in poly-logarithmic time. Theor. Comput. Sci. 854: 30-43 (2021) - [c3]Nikhil Kumar Tomar, Nabil Ibtehaz, Debesh Jha, Pål Halvorsen, Sharib Ali:
Improving Generalizability in Polyp Segmentation using Ensemble Convolutional Neural Network. EndoCV@ISBI 2021: 49-58 - [c2]Nabil Ibtehaz, Mahmuda Naznin:
Determining Confused Brain Activity from EEG Sensor Signals. NSysS 2021: 91-96 - [i11]Yazan Qiblawey, Anas M. Tahir, Muhammad Enamul Hoque Chowdhury, Amith Khandakar, Serkan Kiranyaz, Tawsifur Rahman, Nabil Ibtehaz, Sakib Mahmud, Somaya Al-Madeed, Farayi Musharavati:
Detection and severity classification of COVID-19 in CT images using deep learning. CoRR abs/2102.07726 (2021) - [i10]Nabil Ibtehaz, Muhammad Enamul Hoque Chowdhury, Amith Khandakar, Serkan Kiranyaz, M. Sohel Rahman, Anas M. Tahir, Yazan Qiblawey, Tawsifur Rahman:
EDITH : ECG biometrics aided by Deep learning for reliable Individual auTHentication. CoRR abs/2102.08026 (2021) - [i9]Anas M. Tahir, Muhammad Enamul Hoque Chowdhury, Amith Khandakar, Tawsifur Rahman, Yazan Qiblawey, Uzair Khurshid, Serkan Kiranyaz, Nabil Ibtehaz, Mohammad Shohel Rahman, Somaya Al-Madeed, Khaled Hameed, Tahir Hamid, Sakib Mahmud, Maymouna Ezeddin:
COVID-19 Infection Localization and Severity Grading from Chest X-ray Images. CoRR abs/2103.07985 (2021) - [i8]Muhammad Enamul Hoque Chowdhury, Nabil Ibtehaz, Tawsifur Rahman, Yosra Magdi Salih Mekki, Yazan Qiblawey, Sakib Mahmud, Maymouna Ezeddin, Susu M. Zughaier, Sumaya Ali S. A. Al-Máadeed:
QUCoughScope: An Artificially Intelligent Mobile Application to Detect Asymptomatic COVID-19 Patients using Cough and Breathing Sounds. CoRR abs/2103.12063 (2021) - [i7]Sakib Mahmud, Nabil Ibtehaz, Amith Khandakar, Anas M. Tahir, Tawsifur Rahman, Khandaker Reajul Islam, Md. Shafayet Hossain, M. Sohel Rahman, Mohammad Tariqul Islam, Muhammad Enamul Hoque Chowdhury:
A Shallow U-Net Architecture for Reliably Predicting Blood Pressure (BP) from Photoplethysmogram (PPG) and Electrocardiogram (ECG) Signals. CoRR abs/2111.08480 (2021) - [i6]Farhanaz Farheen, Md. Salman Shamil, Nabil Ibtehaz, M. Sohel Rahman:
Segmentation of Lung Tumor from CT Images using Deep Supervision. CoRR abs/2111.09262 (2021) - 2020
- [j2]Nabil Ibtehaz, M. Sohel Rahman:
MultiResUNet : Rethinking the U-Net architecture for multimodal biomedical image segmentation. Neural Networks 121: 74-87 (2020) - [i5]Nabil Ibtehaz, M. Sohel Rahman:
PPG2ABP: Translating Photoplethysmogram (PPG) Signals to Arterial Blood Pressure (ABP) Waveforms using Fully Convolutional Neural Networks. CoRR abs/2005.01669 (2020) - [i4]Nabil Ibtehaz, S. M. Shakhawat Hossain Sourav, Md. Shamsuzzoha Bayzid, M. Sohel Rahman:
Align-gram : Rethinking the Skip-gram Model for Protein Sequence Analysis. CoRR abs/2012.03324 (2020)
2010 – 2019
- 2019
- [j1]Nabil Ibtehaz, Mohammad Saifur Rahman, M. Sohel Rahman:
VFPred: A fusion of signal processing and machine learning techniques in detecting ventricular fibrillation from ECG signals. Biomed. Signal Process. Control. 49: 349-359 (2019) - [i3]Nabil Ibtehaz, M. Sohel Rahman:
MultiResUNet : Rethinking the U-Net Architecture for Multimodal Biomedical Image Segmentation. CoRR abs/1902.04049 (2019) - 2018
- [c1]Irfan Al-Hussaini, Ahmed Imtiaz Humayun, Samiul Alam, Shariful Islam Foysal, Abdullah Al Masud, Arafat Mahmud, Rakibul Islam Chowdhury, Nabil Ibtehaz, Sums Uz Zaman, Rakib Hyder, Sayeed Shafayet Chowdhury, Mohammad Ariful Haque:
Predictive Real-Time Beat Tracking from Music for Embedded Application. MIPR 2018: 297-300 - [i2]Nabil Ibtehaz, Mohammad Saifur Rahman, M. Sohel Rahman:
VFPred: A Fusion of Signal Processing and Machine Learning techniques in Detecting Ventricular Fibrillation from ECG Signals. CoRR abs/1807.02684 (2018) - [i1]Nabil Ibtehaz, M. Kaykobad, M. Sohel Rahman:
Multidimensional segment trees can do range queries and updates in logarithmic time. CoRR abs/1811.01226 (2018)
Coauthor Index
aka: Muhammad Enamul Hoque Chowdhury
aka: M. Sohel Rahman
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