Two-stage deep learning framework detects neonatal brain pathologies from MRI
Dr_Alex_Crimi · x · 2026-09-04
Researcher DrAlexCrimi, with Christian and Tina from AIMS Ghana, released a new preprint: "Hierarchical Detection of Neonatal Brain Pathologies Using a Two-Stage Deep Learning Framework from Magnetic Resonance Imaging" — an AI for Science work applying a two-stage deep learning pipeline to MRI scans for detecting neonatal brain pathologies.
More from Research
- OpenAI claims first proof of a non-sofic group, unpacked in CMU talk — SebastienBubeck · 2026-09-04
- How do you benchmark real critical thinking in AI vs. learned plausible-sounding answers? — Far_Tumbleweed7835 · 2026-09-04
- AeroJEPA fluid foundation model joins NVIDIA's PhysicsNeMo ecosystem — ricardovinuesa · 2026-09-04
- Amazon Mechanical Turk to shut down September 30, ending an era of crowdsourced research — martin_hebart · 2026-09-04
- LLMs meet XR: revisiting Bolt's 1980 Put-That-There demo to rethink spatial computing — twi_mar · 2026-09-04
- Implementing Embedding Gemma from scratch in PyTorch — full walkthrough — Winter_Mistake_3185 · 2026-09-04