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Improving Prognostic Value of CT Deep Radiomic Features in Pancreatic Ductal Adenocarcinoma Using Transfer Learning.

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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)Improving the Segmentation of Pediatric Low-Grade Gliomas Through Multitask Learning., , , , , and . EMBC, page 2119-2122. IEEE, (2022)A Modified AUC for Training Convolutional Neural Networks: Taking Confidence Into Account., , and . Frontiers Artif. Intell., (2021)Improving Disease Classification Performance and Explainability of Deep Learning Models in Radiology with Heatmap Generators., , , and . CoRR, (2022)Generating 3D Brain Tumor Regions in MRI using Vector-Quantization Generative Adversarial Networks., , , , , and . CoRR, (2023)