Aimon Rahman

According to our database1, Aimon Rahman authored at least 14 papers between 2019 and 2025.

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Bibliography

2025
MOVi: Training-free Text-conditioned Multi-Object Video Generation.
CoRR, May, 2025

Training Free Stylized Abstraction.
CoRR, May, 2025

Frame by Familiar Frame: Understanding Replication in Video Diffusion Models.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

GenVOG: A Diffusion Probabilistic Framework for Patient-Independent Pose-Guided Nystagmus Video-Oculography (VOG) Generation.
Proceedings of the Medical Image Understanding and Analysis - 29th Annual Conference, 2025

2024
UltraMAE: Multi-modal Masked Autoencoder for Ultrasound Pre-training.
Proceedings of the Medical Imaging with Deep Learning, 3-5 July 2024, Paris, France., 2024

2023
Quantifying imbalanced classification methods for leukemia detection.
Comput. Biol. Medicine, 2023

Ambiguous Medical Image Segmentation Using Diffusion Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Simultaneous Bone and Shadow Segmentation Network Using Task Correspondence Consistency.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Orientation-Guided Graph Convolutional Network for Bone Surface Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2021
Automated detection and grading of Invasive Ductal Carcinoma breast cancer using ensemble of deep learning models.
Comput. Biol. Medicine, 2021

ViPTT-Net: Video pretraining of spatio-temporal model for tuberculosis type classification from chest CT scans.
Proceedings of the Working Notes of CLEF 2021 - Conference and Labs of the Evaluation Forum, Bucharest, Romania, September 21st - to, 2021

2020
Uniformizing Techniques to Process CT Scans with 3D CNNs for Tuberculosis Prediction.
Proceedings of the Predictive Intelligence in Medicine - Third International Workshop, 2020

2019
Improving Malaria Parasite Detection from Red Blood Cell using Deep Convolutional Neural Networks.
CoRR, 2019

Estimating Severity from CT Scans of Tuberculosis Patients using 3D Convolutional Nets and Slice Selection.
Proceedings of the Working Notes of CLEF 2019, 2019


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