Khashayar Namdar

According to our database1, Khashayar Namdar authored at least 19 papers between 2019 and 2024.

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

Timeline

2019
2020
2021
2022
2023
2024
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Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Opportunities for Persian Digital Humanities Research with Artificial Intelligence Language Models; Case Study: Forough Farrokhzad.
CoRR, 2024

Improving Pediatric Low-Grade Neuroepithelial Tumors Molecular Subtype Identification Using a Novel AUROC Loss Function for Convolutional Neural Networks.
CoRR, 2024

Deep superpixel generation and clustering for weakly supervised segmentation of brain tumors in MR images.
BMC Medical Imaging, 2024

Automating Cobb Angle Measurement for Adolescent Idiopathic Scoliosis using Instance Segmentation.
Proceedings of the 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2024

Anomaly Detection in Pediatric and Adults Brain MRI with Generative Model.
Proceedings of the 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2024

2023
Combining Weakly Supervised Segmentation with Multitask Learning for Improved 3D MRI Brain Tumour Classification.
Proceedings of the Medical Image Learning with Limited and Noisy Data, 2023

Multimodal Learning for Improving Performance and Explainability of Chest X-Ray Classification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 Workshops, 2023

2022
A Comprehensive Study of Radiomics-based Machine Learning for Fibrosis Detection.
CoRR, 2022

A novel GAN-based paradigm for weakly supervised brain tumor segmentation of MR images.
CoRR, 2022

Tumor-location-guided CNNs for Pediatric Low-grade Glioma Molecular Biomarker Classification Using MRI.
CoRR, 2022

Superpixel Generation and Clustering for Weakly Supervised Brain Tumor Segmentation in MR Images.
CoRR, 2022

Minimizing the Effect of Noise and Limited Dataset Size in Image Classification Using Depth Estimation as an Auxiliary Task with Deep Multitask Learning.
CoRR, 2022

Using Multi-modal Data for Improving Generalizability and Explainability of Disease Classification in Radiology.
CoRR, 2022

Improving Disease Classification Performance and Explainability of Deep Learning Models in Radiology with Heatmap Generators.
CoRR, 2022

2021
A Comprehensive Study of Data Augmentation Strategies for Prostate Cancer Detection in Diffusion-Weighted MRI Using Convolutional Neural Networks.
J. Digit. Imaging, 2021

A Modified AUC for Training Convolutional Neural Networks: Taking Confidence Into Account.
Frontiers Artif. Intell., 2021

A Transfer Learning-Based Active Learning Framework for Brain Tumor Classification.
Frontiers Artif. Intell., 2021

2020
A Brief Review of Deep Multi-task Learning and Auxiliary Task Learning.
CoRR, 2020

2019
Evolution-based Fine-tuning of CNNs for Prostate Cancer Detection.
CoRR, 2019


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