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ORCIDMohammad Lotfollahi
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2020 – today
- 2026
[i6]Andrea Rubbi, Amir Akbarnejad, Mohammad V. Sanian, Aryan Yazdan Parast, Hesam Asadollahzadeh, Arian Amani, Naveed Akhtar, Sarah Cooper, Andrew Bassett, Pietro Liò, Lassi Paavolainen, Sattar Vakili, Mohammad Lotfollahi:
MixFlow: Mixture-Conditioned Flow Matching for Out-of-Distribution Generalization. CoRR abs/2601.11827 (2026)- 2025
- [c2]Anastasia Litinetskaya, Maiia Schulman, Fabiola Curion, Artur Szalata, Alireza Omidi, Mohammad Lotfollahi, Fabian J. Theis:
Integration and Querying of Multimodal Single-Cell Data with PoE-VAE. RECOMB 2025: 345-348 - [i5]Mohammad V. Sanian, Arshia Hemmat, Amirhossein Vahidi, Jonas Maaskola, Jimmy Tsz Hang Lee, Stanislaw Makarchuk, Yeliz Demirci, Nana-Jane Chipampe, Muzlifah Haniffa, Ömer Bayraktar, Lassi Paavolainen, Mohammad Lotfollahi:
3D-Guided Scalable Flow Matching for Generating Volumetric Tissue Spatial Transcriptomics from Serial Histology. CoRR abs/2511.14613 (2025) - [i4]Dabin Jeong, Amirhossein Vahidi, Ciro Ramírez-Suástegui, Marie Moullet, Kevin Ly, Mohammad V. Sanian, Sebastian Birk, Yinshui Chang, Adam Boxall, Daniyal Jafree, Lloyd Steele, Vijaya Baskar MS, Muzlifah Haniffa, Mohammad Lotfollahi:
SIGMMA: Hierarchical Graph-Based Multi-Scale Multi-modal Contrastive Alignment of Histopathology Image and Spatial Transcriptome. CoRR abs/2511.15464 (2025) - 2024
- [j3]Roxana Zahedi, Reza Ghamsari, Ahmadreza Argha, Callum Macphillamy, Amin Beheshti
, Roohallah Alizadehsani, Nigel H. Lovell, Mohammad Lotfollahi, Hamid Alinejad-Rokny:
Deep learning in spatially resolved transcriptomics: a comprehensive technical view. Briefings Bioinform. 25(2) (2024) - 2022
- [c1]Leon Hetzel, Simon Böhm, Niki Kilbertus, Stephan Günnemann, Mohammad Lotfollahi, Fabian J. Theis:
Predicting Cellular Responses to Novel Drug Perturbations at a Single-Cell Resolution. NeurIPS 2022 - [i3]Leon Hetzel, Simon Böhm, Niki Kilbertus, Stephan Günnemann, Mohammad Lotfollahi, Fabian J. Theis:
Predicting single-cell perturbation responses for unseen drugs. CoRR abs/2204.13545 (2022) - 2020
- [j2]Mohammad Lotfollahi, Mohsen Naghipourfar, Fabian J. Theis, F. Alexander Wolf:
Conditional out-of-distribution generation for unpaired data using transfer VAE. Bioinform. 36(Supplement-2): i610-i617 (2020) - [j1]Mohammad Lotfollahi, Mahdi Jafari Siavoshani, Ramin Shirali Hossein Zade, Mohammdsadegh Saberian:
Deep packet: a novel approach for encrypted traffic classification using deep learning. Soft Comput. 24(3): 1999-2012 (2020)
2010 – 2019
- 2019
- [i2]Mohammad Lotfollahi, Mohsen Naghipourfar, Fabian J. Theis, F. Alexander Wolf:
Conditional out-of-sample generation for unpaired data using trVAE. CoRR abs/1910.01791 (2019) - 2017
- [i1]Mohammad Lotfollahi, Ramin Shirali Hossein Zade, Mahdi Jafari Siavoshani, Mohammdsadegh Saberian:
Deep Packet: A Novel Approach For Encrypted Traffic Classification Using Deep Learning. CoRR abs/1709.02656 (2017)
Coauthor Index
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