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Md. Ashraful Alam
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2020 – today
- 2024
- [j10]Md. Ashraful Alam, Shouhei Hanaoka, Yukihiro Nomura, Tomohiro Kikuchi, Takahiro Nakao, Tomomi Takenaga, Naoto Hayashi, Takeharu Yoshikawa, Osamu Abe:
Improved identification of tumors in 18F-FDG-PET examination by normalizing the standard uptake in the liver based on blood test data. Int. J. Comput. Assist. Radiol. Surg. 19(3): 581-590 (2024) - [c12]Samiha Sultana, Md. Ashraful Alam:
Exploring the Impact of Display Field-of-view and Display Type on Text Readability and Visual Text Search on Large Displays in Virtual Reality: Impact of Display Field-of-view and Type on Text Readability and Search in Large VR Displays. Graphics Interface 2024: 11:1-11:11 - [c11]Samiha Sultana, Md. Ashraful Alam:
Investigating the Effects of Display Layouts on Text Readability in Virtual Reality. VR Workshops 2024: 821-822 - 2023
- [c10]Shakib Mahmud Dipto, Md Tanzim Reza, Nasrin Akhter, Nadia Tasnim Mim, Md. Ashraful Alam:
PNEXAI: An Explainable AI Driven Decipherable Pneumonia Classification System Leveraging Ensemble Neural Network. AIIoT 2023: 1-6 - 2022
- [j9]Shahzaib Ashraf, Shakoor Ahmad, Muhammad Naeem, Muhammad Riaz, Md. Ashraful Alam:
Novel EDAS Methodology Based on Single-Valued Neutrosophic Aczel-Alsina Aggregation Information and Their Application in Complex Decision-Making. Complex. 2022: 2394472:1-2394472:18 (2022) - 2021
- [j8]Tarun Kanti Ghosh, Md. Kamrul Hasan, Shidhartho Roy, Md. Ashraful Alam, Eklas Hossain, Mohiuddin Ahmad:
Multi-Class Probabilistic Atlas-Based Whole Heart Segmentation Method in Cardiac CT and MRI. IEEE Access 9: 66948-66964 (2021) - [j7]Md. Kamrul Hasan, Md. Ashraful Alam, Md. Toufick E. Elahi, Shidhartho Roy, Robert Martí:
DRNet: Segmentation and localization of optic disc and Fovea from diabetic retinopathy image. Artif. Intell. Medicine 111: 102001 (2021) - [j6]Md. Kamrul Hasan, Shidhartho Roy, Chayan Mondal, Md. Ashraful Alam, Md. Toufick E. Elahi, Aishwariya Dutta, S. M. Taslim Uddin Raju, Md. Tasnim Jawad, Mohiuddin Ahmad:
Dermo-DOCTOR: A framework for concurrent skin lesion detection and recognition using a deep convolutional neural network with end-to-end dual encoders. Biomed. Signal Process. Control. 68: 102661 (2021) - [j5]Md. Moniruzzaman, Praveen K. Thakur, Pramod Kumar, Md. Ashraful Alam, Vaibhav Garg, Iman Rousta, Haraldur Olafsson:
Decadal Urban Land Use/Land Cover Changes and Its Impact on Surface Runoff Potential for the Dhaka City and Surroundings Using Remote Sensing. Remote. Sens. 13(1): 83 (2021) - [j4]Md. Shahinur Alam, Ki-Chul Kwon, Munkh-Uchral Erdenebat, Mohammed Y. Abbass, Md. Ashraful Alam, Nam Kim:
Super-Resolution Enhancement Method Based on Generative Adversarial Network for Integral Imaging Microscopy. Sensors 21(6): 2164 (2021) - [c9]Shakib Mahmud Dipto, Irfana Afifa, Mostofa Kamal Sagor, Md Tanzim Reza, Md. Ashraful Alam:
Interpretable COVID-19 Classification Leveraging Ensemble Neural Network and XAI. BIOMESIP 2021: 380-391 - [c8]Paul Richie Gomes, Hasibul Hasan Sabuj, Muhammad Arman Uddin, Md Tanzim Reza, Raian Ibn Faiz, Md. Ashraful Alam:
A Deep Learning Approach for Reconstruction of Color Images in Different Lighting Conditions Based on Autoencoder Technique. ICEIC 2021: 1-4 - [i4]Tarun Kanti Ghosh, Md. Kamrul Hasan, Shidhartho Roy, Md. Ashraful Alam, Eklas Hossain, Mohiuddin Ahmad:
Multi-class probabilistic atlas-based whole heart segmentation method in cardiac CT and MRI. CoRR abs/2102.01822 (2021) - [i3]Md. Kamrul Hasan, Shidhartho Roy, Chayan Mondal, Md. Ashraful Alam, Md. Toufick E. Elahi, Aishwariya Dutta, S. M. Taslim Uddin Raju, Md. Tasnim Jawad, Mohiuddin Ahmad:
Dermo-DOCTOR: A framework for concurrent skin lesion detection and recognition using a deep convolutional neural network with end-to-end dual encoders. CoRR abs/2102.01824 (2021) - 2020
- [j3]Md. Kamrul Hasan, Md. Ashraful Alam, Dola Das, Eklas Hossain, Mahmudul Hasan:
Diabetes Prediction Using Ensembling of Different Machine Learning Classifiers. IEEE Access 8: 76516-76531 (2020) - [j2]Jie Lin, NianHua Li, Md. Ashraful Alam, Yuqing Ma:
Data-driven missing data imputation in cluster monitoring system based on deep neural network. Appl. Intell. 50(3): 860-877 (2020) - [j1]Md. Shahinur Alam, Ki-Chul Kwon, Md. Ashraful Alam, Mohammed Y. Abbass, Shariar Md Imtiaz, Nam Kim:
Trajectory-Based Air-Writing Recognition Using Deep Neural Network and Depth Sensor. Sensors 20(2): 376 (2020) - [c7]Md. Ashraful Alam, Sina Khatibi:
CPU Resource Usage Analysis for Downlink PDCP Processing in CRAN. PIMRC 2020: 1-5 - [i2]Md. Kamrul Hasan, Md. Ashraful Alam, Md. Toufick E. Elahi, Shidhartho Roy, Sifat Redwan Wahid:
CVR-Net: A deep convolutional neural network for coronavirus recognition from chest radiography images. CoRR abs/2007.11993 (2020)
2010 – 2019
- 2019
- [c6]Md. Ashraful Alam, Maliha Tasnim Aurini, Shitab Mushfiq-ul Islam:
3D visualization of 2D/360° image and navigation in virtual reality through motion processing via smartphone sensors. ERVR 2019 - [c5]Md. Ashraful Alam, Md. Mehedi Hasan, Intisar Hasnain Faiyaz, Ashikuzzaman Bhuiyan, Sheakh Fahim Ahmmed Joy, Shitab Mushfiq-ul Islam:
Augmented Reality Education System in Developing Countries. ERVR 2019 - [c4]Tahsinur Rahman, Aniqa Zaida Khanom, Sheikh Mastura Farzana, Sharowar Md. Shahriar Khan, Md. Ashraful Alam:
Analysis of Linear and Non-Linear Classiers in Imbalanced Data to Predict Diabetes Induced Complications. MLDM (1) 2019: 255-269 - [i1]Aimon Rahman, Hasib Zunair, M. Sohel Rahman, Jesia Quader Yuki, Sabyasachi Biswas, Md. Ashraful Alam, Nabila Binte Alam, M. R. C. Mahdy:
Improving Malaria Parasite Detection from Red Blood Cell using Deep Convolutional Neural Networks. CoRR abs/1907.10418 (2019) - 2014
- [c3]Md. Ashraful Alam, Ileana Streinu:
Star-Unfolding Polygons. ADG 2014: 1-20 - 2012
- [c2]Md. Ashraful Alam, Igor Rivin, Ileana Streinu:
Outerplanar Graphs and Delaunay Triangulations. Computation, Physics and Beyond 2012: 320-329 - 2011
- [c1]Md. Ashraful Alam, Igor Rivin, Ileana Streinu:
Outerplanar graphs and Delaunay triangulations. CCCG 2011
Coauthor Index
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last updated on 2024-10-04 20:04 CEST by the dblp team
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