INSightR-Net: Interpretable Neural Network for Regression using Similarity-based Comparisons to Prototypical Examples

31 July 2022

Papers citing "INSightR-Net: Interpretable Neural Network for Regression using Similarity-based Comparisons to Prototypical Examples"

6 / 6 papers shown

Title
Deep Learning for Ophthalmology: The State-of-the-Art and Future Trends Duy M. Nguyen Hasan Md Tusfiqur Alam T. Nguyen Devansh Srivastav H. Profitlich Ngan Le Daniel Sonntag 36 2 0 07 Jan 2025
Cross- and Intra-image Prototypical Learning for Multi-label Disease Diagnosis and Interpretation Chong Wang Fengbei Liu Yuanhong Chen Helen Frazer Gustavo Carneiro 32 2 0 07 Nov 2024
Self-eXplainable AI for Medical Image Analysis: A Survey and New Outlooks Junlin Hou Sicen Liu Yequan Bie Hongmei Wang Andong Tan Luyang Luo Hao Chen XAI 25 3 0 03 Oct 2024
ProtoASNet: Dynamic Prototypes for Inherently Interpretable and Uncertainty-Aware Aortic Stenosis Classification in Echocardiography H. Vaseli A. Gu Ahmadi Amiri Michael Y. Tsang A. Fung Nima Kondori Armin Saadat Purang Abolmaesumi T. Tsang 28 12 0 26 Jul 2023
Prototype Learning for Explainable Brain Age Prediction L. Hesse Nicola K. Dinsdale Ana I. L. Namburete MedIm 23 0 0 16 Jun 2023
Don't PANIC: Prototypical Additive Neural Network for Interpretable Classification of Alzheimer's Disease Tom Nuno Wolf Sebastian Polsterl Christian Wachinger FAtt 24 6 0 13 Mar 2023