Segmentation of image sequences for object oriented coding. - Sven Siggelkow; Rolf-Rainer Grigat; Achim Ibenthal (ICIP (2), 1996)

Fourier domain measurement of scaling and rotation factors for fractal and natural image analysis. - Achim Ibenthal (VDI-Verlag, 2000)

Multimedia Architectures of Mobile Phones. - Achim Ibenthal; Christoph Minkwitz; Mathias Lindner (ESA/VLSI, 2004)

Classification of Mammograms Using Convolutional Neural Network Based Feature Extraction. - Taye Girma Debelee; Mohammadreza Amirian; Achim Ibenthal; Günther Palm; Friedhelm Schwenker (ICT4DA, 2017)

Classical Machine Learning Algorithms and Shallower Convolutional Neural Networks Towards Computationally Efficient and Accurate Classification of Malaria Parasites. - Yaecob Girmay Gezahegn; Abel Kahsay Gebreslassie; Maarig Aregawi Hagos; Achim Ibenthal; Eneyew Adugna Etsub (ICT4DA, 2019)

Survey of deep learning in breast cancer image analysis. - Taye Girma Debelee; Friedhelm Schwenker; Achim Ibenthal; Dereje Yohannes (Evol. Syst., 2020)

Convolution Filter Equivariance/Invariance in Convolutional Neural Networks: A Survey. - Sinshaw Bekele Habte; Achim Ibenthal; Ephrem Teshale Bekele; Taye Girma Debelee (PanAfriCon AI, 2022)

Small Training Datasets for Deep Learning Based Medical Diagnosis. - David Härer; Konrad Kraft; Achim Ibenthal (PanAfriCon AI, 2022)

Livestock Disease Data Management for E-Surveillance and Disease Mapping Using Cluster Analysis. - Mohammed Kemal Ahmed; Durga Prasad Sharma; Hussein Seid Worku; Getinet Yilma; Achim Ibenthal; Dharmveer Yadav (Adv. Artif. Intell. Mach. Learn., 2024)