Explaining Neural Networks via Perturbing Important Learned Features. - Ashkan Khakzar; Soroosh Baselizadeh; Saurabh Khanduja; Seong Tae Kim 001; Nassir Navab (CoRR, 2019)

Rethinking Positive Aggregation and Propagation of Gradients in Gradient-based Saliency Methods. - Ashkan Khakzar; Soroosh Baselizadeh; Nassir Navab (CoRR, 2020)

Neural Response Interpretation Through the Lens of Critical Pathways. - Ashkan Khakzar; Soroosh Baselizadeh; Saurabh Khanduja; Christian Rupprecht 001; Seong Tae Kim 001; Nassir Navab (CVPR, 2021)

Multiresolution Knowledge Distillation for Anomaly Detection. - Mohammadreza Salehi; Niousha Sadjadi; Soroosh Baselizadeh; Mohammad H. Rohban; Hamid R. Rabiee (CVPR, 2021)

Towards Semantic Interpretation of Thoracic Disease and COVID-19 Diagnosis Models. - Ashkan Khakzar; Sabrina Musatian; Jonas Buchberger; Icxel Valeriano Quiroz; Nikolaus Pinger; Soroosh Baselizadeh; Seong Tae Kim 001; Nassir Navab (MICCAI (3), 2021)

Occlusion-Ordered Semantic Instance Segmentation. - Soroosh Baselizadeh; Cheuk-To Yu; Olga Veksler; Yuri Boykov (CoRR, 2025)