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Computed Tomography Image-Based Deep Survival Regression for Metastatic Colorectal Cancer Using a Non-proportional Hazards Model.

, , , , , , , and . PRIME@MICCAI, volume 11843 of Lecture Notes in Computer Science, page 73-80. Springer, (2019)

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Explaining Clinical Decision Support Systems in Medical Imaging using Cycle-Consistent Activation Maximization., , , , , and . CoRR, (2020)Explaining clinical decision support systems in medical imaging using cycle-consistent activation maximization., , , , , and . Neurocomputing, (2021)Mobile Assessment Tools., , , and . Int. J. Recent Contributions Eng. Sci. IT, 2 (3): 9-14 (2014)Computed Tomography Image-Based Deep Survival Regression for Metastatic Colorectal Cancer Using a Non-proportional Hazards Model., , , , , , , and . PRIME@MICCAI, volume 11843 of Lecture Notes in Computer Science, page 73-80. Springer, (2019)TumorEncode - Deep Convolutional Autoencoder for Computed Tomography Tumor Treatment Assessment., , , , , and . IJCNN, page 1-8. IEEE, (2018)Deep Random Forests for Small Sample Size Prediction with Medical Imaging Data., , , , , and . ISBI, page 1543-1547. IEEE, (2020)Deep Metamemory - A Generic Framework for Stabilized One-Shot Confidence Estimation in Deep Neural Networks and its Application on Colorectal Cancer Liver Metastases Growth Prediction., , , , and . ISBI, page 1298-1302. IEEE, (2019)