Minhaj Nur Alam

According to our database, Minhaj Nur Alam authored at least 8 papers between 2022 and 2026.

Collaborative distances:

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

2026

Domain Adaptation of Large Language Models for Polymer-Composite Additive Manufacturing Using Retrieval-Augmented Generation and Fine-Tuning.

Saiful Islam Sagor, Tania Haghighi, Minhaj Nur Alam, Erina Baynojir Joyee

CoRR, May, 2026

Anatomy-Aware Unsupervised Detection and Localization of Retinal Abnormalities in Optical Coherence Tomography.

Tania Haghighi, Sina Gholami, Hamed Tabkhi, Minhaj Nur Alam

CoRR, April, 2026

FedSIR: Spectral Client Identification and Relabeling for Federated Learning with Noisy Labels.

Sina Gholami, Abdulmoneam Ali, Tania Haghighi, Ahmed Arafa, Minhaj Nur Alam

CoRR, April, 2026

2025

OCT-SelfNet: a self-supervised framework with multi-source datasets for generalized retinal disease detection.

Fatema-E. Jannat, Sina Gholami, Minhaj Nur Alam, Hamed Tabkhi

Frontiers Big Data, 2025

2024

Multi-OCT-SelfNet: Integrating Self-Supervised Learning with Multi-Source Data Fusion for Enhanced Multi-Class Retinal Disease Classification.

Fatema-E. Jannat, Sina Gholami, Jennifer I. Lim, Theodore Leng, Minhaj Nur Alam, Hamed Tabkhi

CoRR, 2024

Quantitative Characterization of Retinal Features in Translated OCTA.

Rashadul Hasan Badhon, Atalie Carina Thompson, Jennifer I. Lim, Theodore Leng, Minhaj Nur Alam

CoRR, 2024

OCT-SelfNet: A Self-Supervised Framework with Multi-Modal Datasets for Generalized and Robust Retinal Disease Detection.

Fatema-E. Jannat, Sina Gholami, Minhaj Nur Alam, Hamed Tabkhi

CoRR, 2024

2022

Contrastive learning-based pretraining improves representation and transferability of diabetic retinopathy classification models.

Minhaj Nur Alam, Rikiya Yamashita, Vignav Ramesh, Tejas S. Prabhune, Jennifer I. Lim, R. V. P. Chan, Joelle A. Hallak, Theodore Leng, Daniel L. Rubin

CoRR, 2022