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Longitudinal Quantitative Assessment of COVID-19 Infection Progression from Chest CTs.

, , , , , , , , , и . MICCAI (7), том 12907 из Lecture Notes in Computer Science, стр. 273-282. Springer, (2021)

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Karim Khakzar

Azin Ashkan

Ashkan Kalantary

Ahmad Khakzar

Haybatolah Khakzar

 

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Rethinking Feature Attribution for Neural Network Explanation.. Technical University of Munich, Germany, (2023)Neural Response Interpretation Through the Lens of Critical Pathways., , , , , и . CVPR, стр. 13528-13538. Computer Vision Foundation / IEEE, (2021)A Dual-Perspective Approach to Evaluating Feature Attribution Methods., , , , , и . CoRR, (2023)Spatio-Temporal Learning from Longitudinal Data for Multiple Sclerosis Lesion Segmentation., , , , , , и . BrainLes@MICCAI (1), том 12658 из Lecture Notes in Computer Science, стр. 111-121. Springer, (2020)Analyzing the Effects of Handling Data Imbalance on Learned Features from Medical Images by Looking Into the Models., , , , , , , и . CoRR, (2022)AttributionLab: Faithfulness of Feature Attribution Under Controllable Environments., , , , , , , и . CoRR, (2023)FlexR: Few-shot Classification with Language Embeddings for Structured Reporting of Chest X-rays., , , , , и . MIDL, том 227 из Proceedings of Machine Learning Research, стр. 1493-1508. PMLR, (2023)Fine-Grained Neural Network Explanation by Identifying Input Features with Predictive Information., , , , , и . NeurIPS, стр. 20040-20051. (2021)Explaining COVID-19 and Thoracic Pathology Model Predictions by Identifying Informative Input Features., , , , , , , и . MICCAI (3), том 12903 из Lecture Notes in Computer Science, стр. 391-401. Springer, (2021)Explaining Neural Networks via Perturbing Important Learned Features., , , , и . CoRR, (2019)