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BMC Biomedical Engineering|June 30, 2021
Single-cell conventional pap smear image classification using pre-trained deep neural network architecturesMohammed Aliy Mohammed, Fetulhak Abdurahman, Yodit Abebe AyalewBMC Biomedical Engineering|March 1, 2021
Modified U-Net for liver cancer segmentation from computed tomography images with a new class balancing methodYodit Abebe Ayalew, Kinde Anlay Fante, Mohammed Aliy MohammedMedical & Biological Engineering & Computing|January 1, 2021
Quantitative analysis of blood cells from microscopic images using convolutional neural networkAbel Worku Tessema, Mohammed Aliy Mohammed, Gizeaddis Lamesgin Simegn, et al.Plos Neglected Tropical Diseases|July 3, 2025
Detecting soil-transmitted helminth and Schistosoma mansoni eggs in Kato-Katz stool smear microscopy images: A comprehensive in- and out-of-distribution evaluation of YOLOv7 variantsMohammed Aliy Mohammed, Esla Timothy Anzaku, Peter Kenneth Ward, et al.Scientific Data|October 18, 2023
Tryp: a dataset of microscopy images of unstained thick blood smears for trypanosome detectionEsla Timothy Anzaku, Mohammed Aliy Mohammed, Utku Ozbulak, et al.Plos Neglected Tropical Diseases|March 18, 2026
An artificial intelligence-powered digital pathology platform to support large-scale deworming programs against soil-transmitted helminthiasis and intestinal schistosomiasis in resource-limited settingsPeter K Ward, Mohammed Aliy Mohammed, Mio Ayana Heda, et al.Pageof 1