And both of our efforts and these beautiful presentations at #MIDL2025 have been successful due to immense efforts from our amazing lab members @caroteu.bsky.social and Titus Griebel. And of-course @cppape.bsky.social being the absolute best PI, as always (I can't say this enough tbh)!
We presented our latest work on "PathoSAM" and "Late PEFT" last week at #MIDL2025 (Salt Lake City)!
The community is growing and MIDL is becoming the venue-to-go for high quality research discussion!🧵
Image from article in Radiology: Artificial Intelligence
#DeepLearning model to segment abdominal organs on CTs and MRIs with high accuracy https://doi.org/10.1148/ryai.240586 #MIDL2025 #DeepLearning #AI
Image from article in Radiology: Artificial Intelligence
U-Net-generated pixel-level lung thickness maps successfully estimated total lung volume for synthetic & real radiographs https://doi.org/10.1148/ryai.240484 #MIDL2025 #DeepLearning #AI
Image from article in Radiology: Artificial Intelligence
#AI model incorporating image and feature domain randomization for segmentation of abdominal organs on CT and MR https://doi.org/10.1148/ryai.240586 #MIDL2025 #DeepLearning #AI
Image from article in Radiology: Artificial Intelligence
Segmenting abdominal organs on CT and MRI with high accuracy https://doi.org/10.1148/ryai.250384 #MIDL2025 #DeepLearning #AI
Image from article in Radiology: Artificial Intelligence
Pixel-level lung thickness maps for real and synthetic radiographs generated with a U-Net trained on synthetic data https://doi.org/10.1148/ryai.240484 #MIDL2025 #DeepLearning #AI
Image from article in Radiology: Artificial Intelligence
#DeepLearning CT and MR segmentation model for the abdomen https://doi.org/10.1148/ryai.240586 #MIDL2025 #DeepLearning #AI
Image from article in Radiology: Artificial Intelligence
Unlocking Robust Segmentation: Decoding Domain Randomization for Radiologists https://doi.org/10.1148/ryai.250384 #MIDL2025 #DeepLearning #AI
Image from article in Radiology: Artificial Intelligence
Alternative to pharmacokinetic models to detect BBB leaks https://doi.org/10.1148/ryai.240507 #MIDL2025 #DeepLearning #AI
Image from article in Radiology: Artificial Intelligence
#DeepLearning detection of heart disease in emergency patients with acute chest pain https://doi.org/10.1148/ryai.240459 #MIDL2025 #DeepLearning #AI
Looking forward to another excellent programme at #MIDL2025!
🚀 Exciting news! #MIDL2025 paper call! Submit work on AI for diagnosis and prognosis, multimodal learning & more! 🩺📊
👉 Registration Deadline: Jan 17, 2025
👉 Full Paper Submission Deadline: Jan 24, 2025
👉 Short Paper Submission Deadline: April 11, 2025
🌐 Details:https://2025.midl.io/call-for-papers
