Exploring the Properties and Evolution of Neural Network Eigenspaces during Training. - Mats L. Richter; Leila Malihi; Anne-Kathrin Patricia Windler; Ulf Krumnack (CoRR, 2021)

Automatic Wound Type Classification with Convolutional Neural Networks. - Leila Malihi; Jens Hüsers; Mats L. Richter; Maurice Moelleken; Mareike Przysucha; Dorothee Busch; Jan Heggemann; Guido Hafer; Stefan Wiemeyer; Gunther Heidemann; Joachim Dissemond; Cornelia Erfurt-Berge; et al. (ICIMTH, 2022)

An Image Based Object Recognition System for Wound Detection and Classification of Diabetic Foot and Venous Leg Ulcers. - Jens Hüsers; Maurice Moelleken; Mats L. Richter; Mareike Przysucha; Leila Malihi; Dorothee Busch; Nina-Alexandra Götz; Jan Heggemann; Guido Hafer; Stefan Wiemeyer; Birgit Babitsch; Gunther Heidemann; et al. (MIE, 2022)

Can Synthetic Images Improve CNN Performance in Wound Image Classification? - Leila Malihi; Ursula Hübner; Mats L. Richter; Maurice Moelleken; Mareike Przysucha; Dorothee Busch; Jan Heggemann; Guido Hafer; Stefan Wiemeyer; Gunther Heidemann; Joachim Dissemond; Cornelia Erfurt-Berge; et al. (MIE, 2023)

Efficient and Controllable Model Compression through Sequential Knowledge Distillation and Pruning. - Leila Malihi; Gunther Heidemann (Big Data Cogn. Comput., 2023)

Automatic Classification of Wound Images Showing Healing Complications: Towards an Optimised Approach for Detecting Maceration. - Leila Malihi; Cornelia Erfurt-Berge; Gunther Heidemann; Mareike Przysucha; Dorothee Busch; Ursula Hübner (GMDS, 2024)