Abdullah-Al-Zubaer Imran

Orcid: 0000-0001-5215-339X

According to our database1, Abdullah-Al-Zubaer Imran authored at least 27 papers between 2018 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Bibliography

2023
Task-specific self-supervision for CT image denoising.
Comput. methods Biomech. Biomed. Eng. Imaging Vis., November, 2023

Scout-Net: Prospective Personalized Estimation of CT Organ Doses from Scout Views.
CoRR, 2023

Forward-Forward Contrastive Learning.
CoRR, 2023

Semi-Supervised Relational Contrastive Learning.
CoRR, 2023

2022
Single Image Internal Distribution Measurement Using Non-Local Variational Autoencoder.
CoRR, 2022

Joint Learning with Local and Global Consistency for Improved Medical Image Segmentation.
Proceedings of the Medical Image Understanding and Analysis - 26th Annual Conference, 2022

Noise2Quality: non-reference, pixel-wise assessment of low dose CT image quality.
Proceedings of the Medical Imaging 2022: Image Perception, 2022

3D deep neural network to automatically identify TSC structural brain pathology based on MRI.
Proceedings of the Medical Imaging 2022: Image Processing, 2022

Multimodal Contrastive Learning for Prospective Personalized Estimation of CT Organ Dose.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Lightseg: Efficient Yet Effective Medical Image Segmentation.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

2021
Generalized Multi-Task Learning from Substantially Unlabeled Multi-Source Medical Image Data.
CoRR, 2021

Personalized CT Organ Dose Estimation from Scout Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Window-Level Is a Strong Denoising Surrogate.
Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021

Ssiqa: Multi-Task Learning For Non-Reference Ct Image Quality Assessment With Self-Supervised Noise Level Prediction.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

Multimix: Sparingly-Supervised, Extreme Multitask Learning from Medical Images.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

2020
From Fully-Supervised, Single-Task to Scarcely-Supervised, Multi-Task Deep Learning for Medical Image Analysis.
PhD thesis, 2020

Bipartite Distance for Shape-Aware Landmark Detection in Spinal X-Ray Images.
CoRR, 2020

Partly Supervised Multitask Learning.
CoRR, 2020

Analysis of Scoliosis From Spinal X-Ray Images.
CoRR, 2020

Fast and automatic segmentation of pulmonary lobes from chest CT using a progressive dense V-network.
Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2020

Progressive Adversarial Semantic Segmentation.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Partly Supervised Multi-Task Learning.
Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020

Fully-Automated Analysis of Scoliosis from Spinal X-Ray Images.
Proceedings of the 33rd IEEE International Symposium on Computer-Based Medical Systems, 2020

Self-Supervised, Semi-Supervised, Multi-Context Learning for the Combined Classification and Segmentation of Medical Images (Student Abstract).
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Semi-supervised Multi-task Learning with Chest X-Ray Images.
Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019

Multi-adversarial Variational Autoencoder Networks.
Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019

2018
Automatic Segmentation of Pulmonary Lobes Using a Progressive Dense V-Network.
Proceedings of the Deep Learning in Medical Image Analysis - and - Multimodal Learning for Clinical Decision Support, 2018


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