BlockCNN: A Deep Network for Artifact Removal and Image Compression. - Danial Maleki; Soheila Nadalian; Mohammad Mahdi Derakhshani; Mohammad Amin Sadeghi (CVPR Workshops, 2018)

Ink Marker Segmentation in Histopathology Images Using Deep Learning. - Danial Maleki; Mehdi Afshari; Morteza Babaie; Hamid R. Tizhoosh (ISVC (1), 2020)

Fine-Tuning and training of densenet for histopathology image representation using TCGA diagnostic slides. - Abtin Riasatian; Morteza Babaie; Danial Maleki; Shivam Kalra; Mojtaba Valipour; Sobhan Hemati; Manit Zaveri; Amir Safarpoor; Sobhan Shafiei; Mehdi Afshari; Maral Rasoolijaberi; Milad Sikaroudi; et al. (Medical Image Anal., 2021)

Quality Control of Whole Slide Images using the YOLO Concept. - Kimia Hemmatirad; Morteza Babaie; Mehdi Afshari; Danial Maleki; Mahjabin Saiadi; Hamid R. Tizhoosh (ICHI, 2022)

LILE: Look In-Depth before Looking Elsewhere - A Dual Attention Network using Transformers for Cross-Modal Information Retrieval in Histopathology Archives. - Danial Maleki; Hamid R. Tizhoosh (MIDL, 2022)

Clustering-Enhanced Multimodal Pre-Training for Histology-Gene Joint Representation Learning. - Danial Maleki; Nazim Shaikh; Gareth Shannon; Jian Li; Yao Nie (ISBI, 2025)