Call for Papers: IEEE MLSP 2026, Atlanta, GA The 36th IEEE Workshop on Machine Learning for Signal Processing will be held in Atlanta this year. We welcome new work on: - Multimodal ML and Large Language Models - Deep Learning and Optimization - Distributed and Federated Learning - Applied ML in Healthcare, Finance, Disaster Response, and Neuroscience Key Dates - Submission portal opens: April 1, 2026 - Paper deadline: May 15, 2026 - Notification: July 31, 2026 Papers should be six pages, figures and references included. All accepted work will be indexed in IEEE Xplore. #MLSP2026 #IEEE #MachineLearning #SignalProcessing #CallForPapers

Calling all researchers in AI, machine learning, and healthcare! 🚀 🏥 We're excited to announce that the 11th iteration of our conference will be hosted at Johns Hopkins in Baltimore in August 2026. CFP: mlforhc.org/paper-submission Please share & RT! 1/3

🧠 a new omnimodal model is out 🚀

3D Print Your Brain Using brain2print.org! youtu.be/_etI1yMVegg?si=BPrJ… via @YouTube Here is a detailed explanation of what we've recently done based on brainchop.org models and niivue. Thanks Andy for the video!

If you missed the brainchop.org demo today at #ISBI2025, no worries - I’ll be back Wed (Apr 16, 13:30–14:30) & Thu (Apr 17, 13:30–14:30). Stop by to try the demo, learn about our latest research and new developments!

This Thursday, @spikedoanz and Armina Fani are at the Southwestern Psychological Association meeting @the_SEPA at the Crowne Plaza Atlanta Perimeter at Ravinia! Come by to learn about brainchop.org and our tools — we'd love to chat if you're around! #SEPA #brainchop

Excited to share that I’ll be presenting my abstract at #ADPD2025 in #Vienna this April 1-5 to explore the latest breakthroughs in #Alzheimers, #Parkinsons, and related neurological disorders. Thank you to the @GoizuetaADRC for their invaluable support.

🚀 Breakthrough in mobile neuroimaging! Thanks to @wpmed92, brainchop.org will soon run *full brain* volumetric segmentation on your phone. 🔬Preview: niivue.github.io/niivue-tiny… (WebGPU browser required) Meanwhile, check out brainchop.org! #Neuroimaging #WebGPU

Prompted HyperNetworks? Sounds familiar arxiv.org/abs/1609.09106

I was surprised to be recognized as one of the top reviewers for NeurIPS 2024!

Honored to have my first pilot proposal funded by Goizueta ADRC @GoizuetaADRC. Looking forward to advancing neurodegenerative disease research using AI.

🎉Congratulations @MMasoud2021 Mohamed and @FarfallaHu for getting accepted a paper about brainchop.org

Come work with me! Please RT. Georgia Tech is launching a major new initiative advancing neuroscience, neurotechnology, and our understanding of its societal impacts. We need a program manager to drive this forward, including comms., community, events and programming.

Happy to announce our paper was accepted to International Conference on Learning Representations #ICLR as top 25%. Check out our arxiv arxiv.org/abs/2205.09235v3

🧠 Learn about "Brain Chop," a web-based end-to-end solution which performs 3D MRI brain segmentation that's #madeWithTFJS. This tool is known for its simplicity, privacy preservation, and user-friendly interface. ➡️ goo.gle/3Jbabx0

Single forward pass volumetric model with 104 FreeSurfer ROIs barely fits on most GPUs. @MMasoud2021 made it work in your browser. Atlas models are now on brainchop.org If 104 regions is too large, try the smaller 50-ROI model. #mri #MadeWithtfjs #neuroimaging #brain

Today, we unveiled our biggest update ever: a redesign of Descript built around a transformative new way of making video 💥 Storyboard is currently in a closed preview release. Sign up for early access to be one of the first creators to try it: descri.pt/3azn0nQ 1/4

Pleased to be recognized as an outstanding reviewer (top 10%) at ICML 2022 @icmlconf

My paper on latent factor learning for fMRI data, which seems to outperform ICA and is inspired by LFADs, by @chethan is online now arxiv.org/abs/2205.13640. We replace the latent factors with distributions to encourage disentanglement and temporal independence.

Neuroscientist Christoff Koch called the human brain the “most complex object in our observable universe” Read @eloygeenjaar's overview of the unique aspects of neuroimaging data and how we can leverage these aspects with deep learning algorithms 👇 thegradient.pub/the-role-of-…