CausalX-Net: a causality-guided explainable segmentation network for brain tumors. [PDF]
Prakash PS +6 more
europepmc +1 more source
Does Excluding Participants Improve Our Understanding of Lung Function? [PDF]
Baugh AD, Campbell J.
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A latent diffusion approach to visual attribution in medical imaging. [PDF]
Siddiqui AA +3 more
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FastColitisDetector-XAI: An efficient AI model utilizing sparse Autoencoder with explainable AI for ulcerative colitis diagnosis. [PDF]
Dhole SV, Chougule SR.
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COVID-19 death toll predictions show that triggering counterfactual thinking deteriorates judgmental performance. [PDF]
Seifert M, Somasundaram J.
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SpaCE: a spatial counterfactual explainable deep learning model for predicting out-of-hospital cardiac arrest survival outcome. [PDF]
Zhang J +8 more
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The good executive in the wake of COVID-19: using story completion to study the rise and development of alternative selves. [PDF]
Manca C, Russo M, Leone L, Gaavar R.
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CRISP: A causal relationships-guided deep learning framework for advanced ICU mortality prediction. [PDF]
Wang L +9 more
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