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Transparency of deep neural networks for medical image analysis: A review of interpretability methods.

, , , and . Comput. Biol. Medicine, (2022)

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Reducing a Biomarkers List via Mathematical Programming: Application to Gene Signatures to Detect Time-Dependent Hypoxia in Cancer., , , , , and . ICMLA, page 482-487. IEEE Computer Society, (2007)Ensemble analyses improve signatures of tumour hypoxia and reveal inter-platform differences., , , , and . BMC Bioinformatics, (2014)Automated delineation of lung tumors from CT images using a single click ensemble segmentation approach., , , , , , , , , and 5 other author(s). Pattern Recognition, 46 (3): 692-702 (2013)On Ranking in Survival Analysis: Bounds on the Concordance Index., , , , and . NIPS, page 1209-1216. Curran Associates, Inc., (2007)Information extraction of eligibility criteria for trial enrolment support., , , , , and . MIE, volume 210 of Studies in Health Technology and Informatics, page 1034. IOS Press, (2015)Survival Prediction in Lung Cancer Treated with Radiotherapy: Bayesian Networks vs. Support Vector Machines in Handling Missing Data., , , , , , , , , and . ICMLA, page 494-497. IEEE Computer Society, (2009)Data Harmonisation for Information Fusion in Digital Healthcare: A State-of-the-Art Systematic Review, Meta-Analysis and Future Research Directions., , , , , , , , , and 16 other author(s). CoRR, (2022)Combining hypoxia-activated prodrugs and radiotherapy in silico: Impact of treatment scheduling and the intra-tumoural oxygen landscape., , , , , and . PLoS Comput. Biol., (2020)Development and validation of a patient decision aid for prostate Cancer therapy: from paternalistic towards participative shared decision making., , , , , , , , , and 4 other author(s). BMC Med. Inf. & Decision Making, 19 (1): 130:1-130:11 (2019)Transparency of deep neural networks for medical image analysis: A review of interpretability methods., , , and . Comput. Biol. Medicine, (2022)