Farzad Khalvati
Orcid: 0000-0001-5616-8660
According to our database1,
Farzad Khalvati
authored at least 78 papers
between 2004 and 2024.
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Bibliography
2024
Improving Pediatric Low-Grade Neuroepithelial Tumors Molecular Subtype Identification Using a Novel AUROC Loss Function for Convolutional Neural Networks.
CoRR, 2024
2023
Generating 3D Brain Tumor Regions in MRI using Vector-Quantization Generative Adversarial Networks.
CoRR, 2023
IEEE Access, 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
Using Large Text To Image Models with Structured Prompts for Skin Disease Identification: A Case Study.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
2022
CoRR, 2022
Automating Cobb Angle Measurement for Adolescent Idiopathic Scoliosis using Instance Segmentation.
CoRR, 2022
A novel GAN-based paradigm for weakly supervised brain tumor segmentation of MR images.
CoRR, 2022
Optimized Global Perturbation Attacks For Brain Tumour ROI Extraction From Binary Classification Models.
CoRR, 2022
Tumor-location-guided CNNs for Pediatric Low-grade Glioma Molecular Biomarker Classification Using MRI.
CoRR, 2022
Introducing Vision Transformer for Alzheimer's Disease classification task with 3D input.
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
Open-radiomics: A Research Protocol to Make Radiomics-based Machine Learning Pipelines Reproducible.
CoRR, 2022
Improving Disease Classification Performance and Explainability of Deep Learning Models in Radiology with Heatmap Generators.
CoRR, 2022
Improving the Segmentation of Pediatric Low-Grade Gliomas Through Multitask Learning.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 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
Frontiers Artif. Intell., 2021
Improving the Segmentation of Pediatric Low-Grade Gliomas through Multitask Learning.
CoRR, 2021
CoRR, 2021
Vanishing Twin GAN: How training a weak Generative Adversarial Network can improve semi-supervised image classification.
CoRR, 2021
CoRR, 2021
Multi-class Generative Adversarial Networks: Improving One-class Classification of Pneumonia Using Limited Labeled Data.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
2020
Radiomics Driven Diffusion Weighted Imaging Sensing Strategies for Zone-Level Prostate Cancer Sensing.
Sensors, 2020
Prognostic Value of Transfer Learning Based Features in Resectable Pancreatic Ductal Adenocarcinoma.
Frontiers Artif. Intell., 2020
RANDGAN: Randomized Generative Adversarial Network for Detection of COVID-19 in Chest X-ray.
CoRR, 2020
BMC Medical Imaging, 2020
2019
A Transfer Learning Approach for Automated Segmentation of Prostate Whole Gland and Transition Zone in Diffusion Weighted MRI.
CoRR, 2019
Improving Prognostic Performance in Resectable Pancreatic Ductal Adenocarcinoma using Radiomics and Deep Learning Features Fusion in CT Images.
CoRR, 2019
Improving Prognostic Value of CT Deep Radiomic Features in Pancreatic Ductal Adenocarcinoma Using Transfer Learning.
CoRR, 2019
PI-RADS guided discovery radiomics for characterization of prostate lesions with diffusion-weighted MRI.
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019
2018
ProstateGAN: Mitigating Data Bias via Prostate Diffusion Imaging Synthesis with Generative Adversarial Networks.
CoRR, 2018
MPCaD: a multi-scale radiomics-driven framework for automated prostate cancer localization and detection.
BMC Medical Imaging, 2018
2017
Discovery Radiomics via Evolutionary Deep Radiomic Sequencer Discovery for Pathologically-Proven Lung Cancer Detection.
CoRR, 2017
CT texture features are associated with overall survival in pancreatic ductal adenocarcinoma - a quantitative analysis.
BMC Medical Imaging, 2017
Proceedings of the Image Analysis and Recognition - 14th International Conference, 2017
Discovery Radiomics for Pathologically-Proven Computed Tomography Lung Cancer Prediction.
Proceedings of the Image Analysis and Recognition - 14th International Conference, 2017
Discovery Radiomics via a Mixture of Deep ConvNet Sequencers for Multi-parametric MRI Prostate Cancer Classification.
Proceedings of the Image Analysis and Recognition - 14th International Conference, 2017
Fully Deep Convolutional Neural Networks for Segmentation of the Prostate Gland in Diffusion-Weighted MR Images.
Proceedings of the Image Analysis and Recognition - 14th International Conference, 2017
A Machine Learning-Driven Approach to Computational Physiological Modeling of Skin Cancer.
Proceedings of the Image Analysis and Recognition - 14th International Conference, 2017
2016
Noise-Compensated, Bias-Corrected Diffusion Weighted Endorectal Magnetic Resonance Imaging via a Stochastically Fully-Connected Joint Conditional Random Field Model.
IEEE Trans. Medical Imaging, 2016
IEEE Trans. Biomed. Eng., 2016
Sequential Registration-Based Segmentation of the Prostate Gland in MR Image Volumes.
J. Digit. Imaging, 2016
Sparse reconstruction of compressive sensing MRI using cross-domain stochastically fully connected conditional random fields.
BMC Medical Imaging, 2016
Proceedings of the 15th IEEE International Conference on Machine Learning and Applications, 2016
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016
2015
IEEE Trans. Medical Imaging, 2015
J. Real Time Image Process., 2015
Automated prostate cancer detection via comprehensive multi-parametric magnetic resonance imaging texture feature models.
BMC Medical Imaging, 2015
Prostate Cancer Detection via a Quantitative Radiomics-Driven Conditional Random Field Framework.
IEEE Access, 2015
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015
Single-click, semi-automatic lung nodule contouring using hierarchical conditional random fields.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015
Proceedings of the 2015 International Conference on Image Processing Theory, 2015
Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, 2015
Medical Image Classification via SVM Using LBP Features from Saliency-Based Folded Data.
Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, 2015
Statistical Textural Distinctiveness in Multi-Parametric Prostate MRI for Suspicious Region Detection.
Proceedings of the Image Analysis and Recognition - 12th International Conference, 2015
2014
Multiparametric MRI prostate cancer analysis via a hybrid morphological-textural model.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014
2011
Proceedings of the Artificial Intelligence Applications and Innovations, 2011
2010
Window memoization: an efficient hardware architecture for high-performance image processing.
J. Real Time Image Process., 2010
2009
Increasing Computational Redundancy of Digital Images via Multiresolutional Matching.
Proceedings of the Image Analysis and Recognition, 6th International Conference, 2009
An efficient architecture for hardware implementations of image processing algorithms.
Proceedings of the 2009 IEEE Symposium on Computational Intelligence for Image Processing, 2009
2008
2004
Proceedings of the Formal Methods in Computer-Aided Design, 5th International Conference, 2004