Laboratory of Integrated Brain Imaging – Home for Laboratory of Integrated Brain Imaging

Neural network models of the brain
Ultra-high-field MRI supports in vivo preclinical imaging studies for neuroscience and beyond.
MRI, electrophysiology and neuromodulation are combined to study and regulate brain-stomach interactions.
Advanced MRI to map gastric motor function
Naturalistic stimuli support multimodal and multiscale characterization of brain functions.
Vision-language model supports flexible image search with text and image queries.
Deep neural networks decode brain scans and reconstruct visual experiences.
MRI of gastric motor functions in humans vs. rats

As part of the Department of Biomedical Engineering and the Electrical and Computer Engineering Division in the Department of Electrical Engineering and Computer Science at the University of Michigan, the Laboratory of Integrated Brain Imaging aims to accelerate neuroscience and artificial intelligence by developing novel tools to integrate neural imaging, recording, stimulation, and modeling.

Positions available for Ph.D. students or postdoctoral fellows.
– Postdoctoral Research Fellow on Animal Neurophysiology or MRI.
– Laboratory Research Specialist.
(05/01/25) Zan received Sam Epstein Award for Contributions to Theoretical Cognitive Science.
(04/18/25) Zan completed Honors Thesis in Cognitive Science.
(12/25/24) Minkyu joined Google to continue his AI journey.
(12/02/24) Xiaokai published the protocol and findings on gastrointestinal MRI in awake rats.
(11/22/24) Minkyu passed his final PhD defense. Congratulations.
(09/07/24) Minkyu published retina-inspired vision model more robust against adversarial noise.
(09/04/24) The Lab reports video representation learning based on Taylor expansion.
(07/23/24) Xiaokai passed her final PhD defense. Congratulations.
(07/01/24) Dr. Liu appointed as the Associate Chair for Graduate Education in BME.
(06/28/24) Xiaokai reported humans vs. rats findings with gastric MRI on AJP-GI.
(06/26/24) Owen honored as a BME student-athlete in Big Ten Conference Distinguished Scholars.
(05/08/24) Xiaokai received a Summa Cum Laude from the ISMRM meeting in Singapore.
(03/25/24) Xiaokai received Richard F. and Eleanor A. Towner Prize for Outstanding Ph.D. Research.
(12/14/23) New paper on modeling the neural regulation of gastric motility.
(11/30/23) Owen honored in Big 10 cross-country.
(11/21/23) New findings on neurotransmission for gastric motor neurons.
(10/21/23) Owen and Dr. Liu talked to Ann Arbor Math Olympia Club in Tappan Middle School.
(09/29/23) Kuan Han gave a talk in the annual fMRI symposium at U-M.
(09/21/23) Minkyu published dorsal and ventral neural nets for vision in NeurIPS 2023.
(09/15/23) The Lab published new results on using manganese enhanced MRI to trace vagal pathways.
(09/01/23) Three new PhD students (Owen, Wenxin, Chenwei) joined the lab.
(09/01/23) Dr. Liu offers a new course on machine learning for biomedical signal and image processing.
(07/01/23) Dr. Liu and team published interoceptive influences on resting-state fMRI.
(06/01/23) New NIH R21 award for developing machine learning methods for Alzheimer’s Disease.
(02/20/23) Kuan Han passed his oral defense for PhD. Congrats Dr. Han.
(01/15/23) Rodrigo Lobos joined the lab as a postdoc co-advised by Doug Noll and Jeff Fessler.
(01/05/23) Chenhui Zhao joined the lab as a M.S. student in ECE.
(01/03/23) Xiaokai published on IEEE TBME about diffeomorphic surface modeling of gastric MRI data.