Conditional out-of-sample generation for unpaired data using trVAE. - Mohammad Lotfollahi; Mohsen Naghipourfar; Fabian J. Theis; F. Alexander Wolf (CoRR, 2019)

Conditional out-of-distribution generation for unpaired data using transfer VAE. - Mohammad Lotfollahi; Mohsen Naghipourfar; Fabian J. Theis; F. Alexander Wolf (Bioinform., 2020)

Deep packet: a novel approach for encrypted traffic classification using deep learning. - Mohammad Lotfollahi; Mahdi Jafari Siavoshani; Ramin Shirali Hossein Zade; Mohammdsadegh Saberian (Soft Comput., 2020)

Predicting Cellular Responses to Novel Drug Perturbations at a Single-Cell Resolution. - Leon Hetzel; Simon Böhm; Niki Kilbertus; Stephan Günnemann; Mohammad Lotfollahi; Fabian J. Theis (NeurIPS, 2022)

Predicting single-cell perturbation responses for unseen drugs. - Leon Hetzel; Simon Böhm; Niki Kilbertus; Stephan Günnemann; Mohammad Lotfollahi; Fabian J. Theis (CoRR, 2022)

Deep learning in spatially resolved transcriptomics: a comprehensive technical view. - Roxana Zahedi; Reza Ghamsari; Ahmadreza Argha; Callum Macphillamy; Amin Beheshti; Roohallah Alizadehsani; Nigel H. Lovell; Mohammad Lotfollahi; Hamid Alinejad-Rokny (Briefings Bioinform., 2024)

Integration and Querying of Multimodal Single-Cell Data with PoE-VAE. - Anastasia Litinetskaya; Maiia Schulman; Fabiola Curion; Artur Szalata; Alireza Omidi; Mohammad Lotfollahi; Fabian J. Theis (RECOMB, 2025)