Md. Atik Ahamed

According to our database, Md. Atik Ahamed authored at least 10 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

CausalGeD: Blending Causality and Diffusion for Spatial Gene Expression Generation.

Rabeya Tus Sadia, Md. Atik Ahamed, Qiang Cheng

CoRR, February, 2025

GraphMinNet: Learning Dependencies in Graphs with Light Complexity Minimal Architecture.

Md. Atik Ahamed, Andrew Cheng, Qiang Ye, Qiang Shawn Cheng

CoRR, February, 2025

Low-dose computed tomography perceptual image quality assessment.

Wonkyeong Lee, Fabian Wagner, Adrian Galdran, Yongyi Shi, Wenjun Xia, Ge Wang, Xuanqin Mou, Md. Atik Ahamed, Abdullah Al Zubaer Imran, Ji Eun Oh, Kyungsang Kim, Jong Tak Baek, Dongheon Lee, Boohwi Hong, Philip Tempelman, Donghang Lyu, Adrian Kuiper, Lars van Blokland, Maria Baldeon Calisto, Scott S. Hsieh, Minah Han, Jongduk Baek, Andreas Maier, Adam Wang, Garry Evan Gold, Jang-Hwan Choi

Medical Image Anal., 2025

2024

TSCMamba: Mamba Meets Multi-View Learning for Time Series Classification.

Md. Atik Ahamed, Qiang Cheng

CoRR, 2024

MambaTab: A Simple Yet Effective Approach for Handling Tabular Data.

Md. Atik Ahamed, Qiang Cheng

CoRR, 2024

MambaTab: A Plug-and-Play Model for Learning Tabular Data.

Md. Atik Ahamed, Qiang Shawn Cheng

Proceedings of the 7th IEEE International Conference on Multimedia Information Processing and Retrieval, 2024

TimeMachine: A Time Series is Worth 4 Mambas for Long-Term Forecasting.

Md. Atik Ahamed, Qiang Shawn Cheng

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

2023

Forward-Forward Contrastive Learning.

Md. Atik Ahamed, Jin Chen, Abdullah-Al-Zubaer Imran

CoRR, 2023

2022

Examining the behaviour of state-of-the-art convolutional neural networks for brain tumor detection with and without transfer learning.

Md. Atik Ahamed, Rabeya Tus Sadia

CoRR, 2022

Joint Learning with Local and Global Consistency for Improved Medical Image Segmentation.

Md. Atik Ahamed, Abdullah-Al-Zubaer Imran

Proceedings of the Medical Image Understanding and Analysis - 26th Annual Conference, 2022