NAL News:
(2023) Congrats to Anoop for his talk during the MLCN 2023 workshop at MICCAI in Vancouver. Anoop described the DeepAIM network to detect White Matter Hyperintensities in postmortem MRI scans.
(2023) A sincere congratulations to Mariam Mojtabai for being awarded the prestigious STAND 32 fellowship, to support her thesis project. This award underscores her dedication, talent, and groundbreaking work in postmortem MRI the whole team has been driving forward. We are all exceptionally proud!
(2023) Praise is for Di Wang, who secured the travel award for the TACCSTER 2023 conference. This award is a recognition of the powerful potential of his research and promises to be a great breakthrough in explainable AI research.
(2023) Congratulations to Di Wang for presenting at the TACCSTER 2023 conference in Austin.
(2023) A huge round of applause for Tanweer Rashid and Di Wang who received the Best Poster Awards at the CHARGE meeting. Their outstanding presentations highlighted not just our lab's research but also their skill in elucidating complex ideas.
(2023) Our faculty member Nicolas Honnorat has received the Owens award to use fMRI networks to understand the spread of AD pathologies in the brain This is a significant award, which was very competitive with only ~10% success chance.
Congrats Nicolas, very well-deserved, keep up the great work.
(2023) Dr. Habes has been featured in an interview with WGEM, showcasing our latest research breakthroughs. This notable recognition highlights our lab's dedication to pioneering advancements in our field
https://www.wgem.com/2023/11/01/ai-locates-brain-lesions-seconds/
(2023) Congrats Karl for his paper being published in the Journal of Alzheimer’s Disease (JAD)
(2023) We are proud to announce that our lab's Principal Investigator Dr. Habes was recently interviewed by Texas Public Radio, highlighting our team's groundbreaking research and achievements. This recognition underscores our commitment to advancing scientific knowledge and innovation
(2023) Our Principal Investigator was recently spotlighted in an interview with SA Express News, discussing our lab's innovative research and contributions to the field. This acknowledgment serves as a testament to our team's hard work and dedication
(2023) Dr. Habes was recently featured in an engaging interview with our school's media office, highlighting the impactful research and developments emerging from our team. This recognition reflects our lab's commitment to scientific excellence and innovation.
https://news.uthscsa.edu/ut-health-san-antonio-develops-tool-that-counts-brain-lesions-in-seconds/
(2022) Di Wang has successfully passed his PhD candidacy exam.
(2022) Our lab was funded by NIH with R01 grant to derive brain aging indices in the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) consortium.
(2022) We had a wonderful workshop “Machine learning in neuroimaging” at the MICCAI 2022, with great plenary talk fromThomas Yeo.
(2022) Congrats for Christine Dintica for our paper published in Alzheimer’s and dementia, in which we show that Elevated blood pressure is associated with advanced brain aging in mid-life.
(2022) We had a highly interactive and populated symposium during the OHBM2022 in Glasgow: Charting brain variability in health and disease using normative models.
(2022) Mohamad Habes was selected by NIH to lead the RECOVER PACS adult brain MRI reading center together with Ilya Nasrallah of Penn Radiology and Mark Goldberg of UTHSA, across US sites to understand COVID19 impact on the brain.
(2022) Our paper compared heterogeneity in AD representation on MRI and Tau PET with advanced data-driven AI methods, is now online http://shorturl.at/gqyR7. We found typical and atypical AD patterns with different risk. Amazing team work with Jon Toledo and Hangfan Liu.
(2022) Elyas Fadee and Tanweer Rashid, talked about our lab research within the South Texas ADRC on postmortem MRI and small vessel disease, during the ASNR22.
(2021) We had an excellent workshop “Machine learning in neuroimaging” at the MICCAI 2021, with great plenary talk from Paul Thomoson.
(2021) Jon Toledo and Tanweer Rashied presented the SPARE-tau work at the AAIC2021.
(2021) Our AI-dementia project, funded by the SAMF was featured in the UTHSA news.
(2021) We have received the San Antonio Medical Foundation (SAMF) grant in collaboration with UTSA (Dhireesha Kudithipudi) and the VA (Adetoun Musa) to apply artificial intelligence to MRI and EEG data and subtype dementia patterns.
(2020) We presented our workshop “Machine learning in neuroimaging” at the MICCAI 2020.
(2020) We had a great featured research session with people excited about AI and its emerging role in uncovering dementia at the virtual AAIC2020.
(2020) Tanweer Rashid presented his work on deep learning for cerebral microbleeds and iron deposits detection in MRI.
(2020) Our paper Biological Psychiatry was featured in the UTHSA news.
(2020) Hangfan Liu presented his work on detecting microbleeds in MRI scans.
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