🔥The 9th Round of Easy Loan, Earn $40 Reward is in progress❗️ ⏰ Promotion Period: January 15th - Feburary 15th, 2025 👉 Register now and check more details at gate.io/campaigns/358

Worried your labeled training dataset isn't big enough?? Congrats to Stephen Wahlig, UCSF Imaging resident, on this paper showing us how to efficiently fine-tune a U-net trained for a different purpose to #MS lesion segmentation. UCSF Center for Intelligent Imaging Jeff Rudie, MD PhD frontiersin.org/articles/10.33…

No more manually sorting brain MRI sequences!? github.com/neuroAI-HD/HD-… Andreas Rauschecker Evan Calabrese, MD PhD Rachit Saluja Spyridon Bakas Ujjwal Baid Rachit Saluja

I am on the academic job market for 2024! My vision is to develop powerful AI models for healthcare that are safe, reliable, and trustworthy. E.g., my recent paper: arxiv.org/abs/2310.01685 Would appreciate any RTs and pointers! See below for an overview of my prior work:

Proud to announce: Mixtral 8x7B -- Mixtral of Experts - Free to use under Apache 2.0 license - outperforms Llama 2 70B with 6x faster inference. - matches or outperforms GPT3.5 - masters English, French, Italian, German and Spanish. - seq_len = 32K mistral.ai/news/mixtral-o… 1/N

We have faculty openings in AI for medical imaging at Cornell University in NYC. Applications submitted this week will receive full consideration: higheredjobs.com/details.cfm?Jo…

Our review article on AI in digital pathology is out in Nature Reviews Electrical Engineering: nature.com/articles/s4428…

Have you ever done a dense grid search over neural network hyperparameters? Like a *really dense* grid search? It looks like this (!!). Blueish colors correspond to hyperparameters for which training converges, redish colors to hyperparameters for which training diverges.

I'm leading a new BraTS on post-treatment glioma Let me know if you are interested in being an annotator The American Society of Neuroradiology American Society of Functional Neuroradiology Spyridon Bakas Rachit Saluja Evan Calabrese, MD PhD Ujjwal Baid Mariam Aboian Philipp Vollmuth Nourel Hoda Tahon Andreas Rauschecker Niky Farid Cortechs.ai Aly Abayazeed, MD, MS, CIIP

Our perspective paper is finally out in IEEE Access. We propose a framework for interpretability in ML for medical imaging. ieeexplore.ieee.org/document/10496… Pre-print: arxiv.org/abs/2310.01685

We recently released a multi-sequence, multi-institution MRI dataset of over 1000 patients with intracranial meningiomas as part of the BraTS meningioma challenge. We also include tumor grade. AI model for predicting meningioma grade? You can build it! rdcu.be/dHZOb

In screening, e.g. for breast or lung cancer, "change over time" is the most important signal, which can be assessed with longitudinal imaging. For example, in the US, women over 40 are recommended to receive an annual mammogram. 1/n

Introducing BrainMorph, a foundation model for general purpose brain MRI registration! BrainMorph is a robust tool that supports multi-modal, pairwise, and scalable groupwise registration via rigid, affine, and nonlinear transformations. 🧵1/5 👇 for code, models, and paper!

The 2024 Glioma Post-Treatment BraTS has launched! Challenge website: synapse.org/#!Synapse:syn5… 1350 training cases available to download Arxiv: arxiv.org/abs/2405.18368 Maria CdeV Rachit Saluja MICCAI MICCAI Students

Missing variables are ubiquitous in real-world data, especially in healthcare. We present Knockout: a theoretically grounded, easy-to-implement and very effective way to handle missingness in machine learning (ML). 1/n

🚨 Reminder - The MELBA Symposium on Generative Models is NEXT WEEK‼️ 🗓️ Tuesday, June 11 at 9-11:30 AM EDT, 3-5:30 PM CEST (Online) 🔎 More info - melba-journal.org/blog/014-sympo…

I'll be #CVPR2025 in Seattle soon! Eager to connect with folks about multi-modal learning, compositional representations and explainability. DM if you'd like to meet up! I'm also actively seeking full-time research roles. Please reach out about potential opportunities in your team🙂

We have a couple, immediately available, post-doc positions in AI for medical imaging at Cornell in NYC. 1/3

Very excited to present ScribblePrompt at #ECCV2024 this afternoon (Tue Oct 1, 16:30-18:30 CEST)! Stop by poster # 70 if you are around!

In Chicago for my first #SfN24 conference! Thrilled to present today our study on Heterogeneous brain functional mapping of childhood psychiatric symptoms at poster A19, joint work with Amy Kuceyeski | @[email protected], Mert R. Sabuncu 🤖🩻⚕️, Qingyu Zhao.

Life update: I recently graduated with a PhD and moved to New York to join Google DeepMind! It’s been a journey of growth - overcoming rejections and imposter syndrome along the way. I leave grad life feeling humbled and grateful. On to the next chapter! 🚀