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.

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.
(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.
(06/10/23) Kuan Han received a Summa Cum Laude from the ISMRM meeting at Toronto.
(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.
(11/21/22) Johnson passed his defense for master of science in biomedical engineering.
(10/13/22) Dr. Liu presented the lab’s research to the ECE advisory council.
(09/29/22) Dr. Liu invited to talk in the NIH Interoception meeting.
(09/14/22) New publication reports that the vagus nerve mediates stomach-brain coherence.
(09/01/22) Siyi Chen joined the lab as a PhD student in ECE.
(07/05/22) Minkyu developed a new recurrent neural net inspired by human eyes.
(06/06/22) Dr. Liu invited to talk in the “Noise as Signal” symposium.
(05/31/22) Madeleine Di Natale visiting the lab from the Furness lab at the University of Melbourne.
(05/20/22) Xiaokai invited to present in Neural Engineering symposium.
(05/12/22) Dr. Liu invited to give a seminar in Michigan Neuroscience Institute.
(05/06/22) Kuan presented in the University of Michigan Neuroscience Conference.
(04/20/22) Xiaokai awarded the Glenn Edmonson Scholarship.
(04/20/22) The Lab received seed funding to develop MRI for imaging the human GI tract.
(03/02/22) Dr. Liu gave an invited seminar in Carnegie-Mellon University.
(02/17/22) Dr. Liu gave a talk on computational tool and technology seminar series at U-M.