Rethinking Positive Aggregation and Propagation of Gradients in
Gradient-based Saliency Methods

Rethinking Positive Aggregation and Propagation of Gradients in Gradient-based Saliency Methods

1 December 2020

Soroosh Baselizadeh

Nassir Navab

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Papers citing "Rethinking Positive Aggregation and Propagation of Gradients in Gradient-based Saliency Methods"

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Title
Pixel-Level Explanation of Multiple Instance Learning Models in Biomedical Single Cell Images Ario Sadafi Oleksandra Adonkina Ashkan Khakzar P. Lienemann Rudolf Matthias Hehr Daniel Rueckert Nassir Navab Carsten Marr FAtt 100 10 0 15 Mar 2023
Analyzing the Effects of Handling Data Imbalance on Learned Features from Medical Images by Looking Into the Models Ashkan Khakzar Yawei Li Yang Zhang Mirac Sanisoglu Seong Tae Kim Mina Rezaei Bernd Bischl Nassir Navab 59 0 0 04 Apr 2022
Interpretable Vertebral Fracture Diagnosis Paul Engstler Matthias Keicher D. Schinz Kristina Mach A. Gersing ... Anna-Sophia Dietrich Benedikt Wiestler Jan S. Kirschke Ashkan Khakzar Nassir Navab FAtt MedIm 64 6 0 30 Mar 2022
Do Explanations Explain? Model Knows Best Ashkan Khakzar Pedram J. Khorsandi Rozhin Nobahari Nassir Navab XAI AAML FAtt 38 24 0 04 Mar 2022
Fine-Grained Neural Network Explanation by Identifying Input Features with Predictive Information Yang Zhang Ashkan Khakzar Yawei Li Azade Farshad Seong Tae Kim Nassir Navab FAtt XAI 102 29 0 04 Oct 2021
Explaining COVID-19 and Thoracic Pathology Model Predictions by Identifying Informative Input Features Ashkan Khakzar Yang Zhang W. Mansour Yuezhi Cai Yawei Li Yucheng Zhang Seong Tae Kim Nassir Navab FAtt 100 17 0 01 Apr 2021
Neural Response Interpretation through the Lens of Critical Pathways Ashkan Khakzar Soroosh Baselizadeh Saurabh Khanduja Christian Rupprecht Seong Tae Kim Nassir Navab 58 34 0 31 Mar 2021