Md Mahfuzur Rahman Siddiquee

Orcid: 0000-0001-7145-215X

According to our database1, Md Mahfuzur Rahman Siddiquee authored at least 26 papers between 2015 and 2024.

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Bibliography

2024
Domain-knowledge Inspired Pseudo Supervision (DIPS) for unsupervised image-to-image translation models to support cross-domain classification.
Eng. Appl. Artif. Intell., January, 2024

A Robust Ensemble Algorithm for Ischemic Stroke Lesion Segmentation: Generalizability and Clinical Utility Beyond the ISLES Challenge.
CoRR, 2024

Brainomaly: Unsupervised Neurologic Disease Detection Utilizing Unannotated T1-weighted Brain MR Images.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Ordinal Classification with Distance Regularization for Robust Brain Age Prediction.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023
A framework for generalizing critical heat flux detection models using unsupervised image-to-image translation.
Expert Syst. Appl., October, 2023

Fetal brain tissue annotation and segmentation challenge results.
Medical Image Anal., August, 2023

Pseudo Supervised Metrics: Evaluating Unsupervised Image to Image Translation Models In Unsupervised Cross-Domain Classification Frameworks.
CoRR, 2023

The state-of-the-art 3D anisotropic intracranial hemorrhage segmentation on non-contrast head CT: The INSTANCE challenge.
CoRR, 2023

2022
A Generalized Framework for Critical Heat Flux Detection Using Unsupervised Image-to-Image Translation.
CoRR, 2022

Automated head and neck tumor segmentation from 3D PET/CT.
CoRR, 2022

Automated segmentation of intracranial hemorrhages from 3D CT.
CoRR, 2022

Automated ischemic stroke lesion segmentation from 3D MRI.
CoRR, 2022

Fetal Brain Tissue Annotation and Segmentation Challenge Results.
CoRR, 2022

Automated 3D Segmentation of Renal Structures for Renal Cancer Treatment.
Proceedings of the Lesion Segmentation in Surgical and Diagnostic Applications, 2022

HealthyGAN: Learning from Unannotated Medical Images to Detect Anomalies Associated with Human Disease.
Proceedings of the Simulation and Synthesis in Medical Imaging, 2022

Automated Head and Neck Tumor Segmentation from 3D PET/CT HECKTOR 2022 Challenge Report.
Proceedings of the Head and Neck Tumor Segmentation and Outcome Prediction, 2022

HyperSegNAS: Bridging One-Shot Neural Architecture Search with 3D Medical Image Segmentation using HyperNet.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Redundancy Reduction in Semantic Segmentation of 3D Brain Tumor MRIs.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2021

2020
UNet++: Redesigning Skip Connections to Exploit Multiscale Features in Image Segmentation.
IEEE Trans. Medical Imaging, 2020

2019
Models Genesis: Generic Autodidactic Models for 3D Medical Image Analysis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Learning Fixed Points in Generative Adversarial Networks: From Image-to-Image Translation to Disease Detection and Localization.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018
UNet++: A Nested U-Net Architecture for Medical Image Segmentation.
Proceedings of the Deep Learning in Medical Image Analysis - and - Multimodal Learning for Clinical Decision Support, 2018

2017
Crazy Crowd Sourcing to Mitigate Resource Scarcity.
Proceedings of the 37th IEEE International Conference on Distributed Computing Systems, 2017

2016
Association Rule Mining and Audio Signal Processing for Music Discovery and Recommendation.
Int. J. Softw. Innov., 2016

2015
Movie Recommendation System Based on Fuzzy Inference System and Adaptive Neuro Fuzzy Inference System.
Int. J. Fuzzy Syst. Appl., 2015

A personalized music discovery service based on data mining.
Proceedings of the 14th IEEE/ACIS International Conference on Computer and Information Science, 2015


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