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Disambiguation of "Khalvati, Farzad"

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

, , and . CoRR, (2022)

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Farzad Khalvati

Farzad Farkhooi

Farzad Salehi

Farzad Soleimankhani

Farzad Farkhooi

 

Other publications of authors with the same name

Improving Prognostic Value of CT Deep Radiomic Features in Pancreatic Ductal Adenocarcinoma Using Transfer Learning., , , , , and . CoRR, (2019)Combining Weakly Supervised Segmentation with Multitask Learning for Improved 3D MRI Brain Tumour Classification., , and . MILLanD@MICCAI, volume 14307 of Lecture Notes in Computer Science, page 171-180. Springer, (2023)PI-RADS guided discovery radiomics for characterization of prostate lesions with diffusion-weighted MRI., , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 10950 of SPIE Proceedings, page 1095042. SPIE, (2019)Prostate Cancer Detection using Deep Convolutional Neural Networks., , , and . CoRR, (2019)Minimizing the Effect of Noise and Limited Dataset Size in Image Classification Using Depth Estimation as an Auxiliary Task with Deep Multitask Learning., , and . CoRR, (2022)Evaluating Knowledge Transfer in the Neural Network for Medical Images., , , and . IEEE Access, (2023)Multi-class Generative Adversarial Networks: Improving One-class Classification of Pneumonia Using Limited Labeled Data., and . EMBC, page 3817-3822. IEEE, (2021)A Modified AUC for Training Convolutional Neural Networks: Taking Confidence Into Account., , and . Frontiers Artif. Intell., (2021)Generating 3D Brain Tumor Regions in MRI using Vector-Quantization Generative Adversarial Networks., , , , , and . CoRR, (2023)Improving Disease Classification Performance and Explainability of Deep Learning Models in Radiology with Heatmap Generators., , , and . CoRR, (2022)