Riccardo Lattanzi
@riclattanzi.bsky.social
Imaging Scientist, Professor and Director of the NYU Center for Biomedical Imaging. Passionate about basketball and books.
Reposted by Riccardo Lattanzi
Learning temporal characteristics in multi-contrast MRI w/ self-supervision: an application to accelerating quantitative T2 mapping • by Lavanya Umpathy &al., p3851
3:45p, 🖥️ 38
Investigation aims at advancing intelligent design of multi-contrast data acquisition schemes.
3:45p, 🖥️ 38
Investigation aims at advancing intelligent design of multi-contrast data acquisition schemes.
May 14, 2025 at 8:18 PM
Learning temporal characteristics in multi-contrast MRI w/ self-supervision: an application to accelerating quantitative T2 mapping • by Lavanya Umpathy &al., p3851
3:45p, 🖥️ 38
Investigation aims at advancing intelligent design of multi-contrast data acquisition schemes.
3:45p, 🖥️ 38
Investigation aims at advancing intelligent design of multi-contrast data acquisition schemes.
Reposted by Riccardo Lattanzi
Deep Learning-Optimized GRASP-Pro Reconstruction for Highly-Accelerated DCE-MRI • by Haoyang Pei & Li Feng, p1136
8:39a, 313A
⭐️ magna cum laude
"This approach demostrates improved reconstruction quality for highly-accelerated 4D [dynamic contrast-enhanced] #MRI."
8:39a, 313A
⭐️ magna cum laude
"This approach demostrates improved reconstruction quality for highly-accelerated 4D [dynamic contrast-enhanced] #MRI."
May 15, 2025 at 6:09 PM
Deep Learning-Optimized GRASP-Pro Reconstruction for Highly-Accelerated DCE-MRI • by Haoyang Pei & Li Feng, p1136
8:39a, 313A
⭐️ magna cum laude
"This approach demostrates improved reconstruction quality for highly-accelerated 4D [dynamic contrast-enhanced] #MRI."
8:39a, 313A
⭐️ magna cum laude
"This approach demostrates improved reconstruction quality for highly-accelerated 4D [dynamic contrast-enhanced] #MRI."
Reposted by Riccardo Lattanzi
Fully Automated Radiomic Analysis to Differentiate Pain Profiles in Femoroacetabular Impingement: A Robust #MRI-Based Model • by Eros Montin &al., p0163
3:09p, 312
The model "paves the way for broader clinical adoption of MRI-based radiomics for musculoskeletal disorders."
3:09p, 312
The model "paves the way for broader clinical adoption of MRI-based radiomics for musculoskeletal disorders."
May 12, 2025 at 8:10 PM
Fully Automated Radiomic Analysis to Differentiate Pain Profiles in Femoroacetabular Impingement: A Robust #MRI-Based Model • by Eros Montin &al., p0163
3:09p, 312
The model "paves the way for broader clinical adoption of MRI-based radiomics for musculoskeletal disorders."
3:09p, 312
The model "paves the way for broader clinical adoption of MRI-based radiomics for musculoskeletal disorders."
Reposted by Riccardo Lattanzi
Statistical shape modeling of skeletal muscles improves the prediction of muscle strength • by Salim Bin Ghouth & Valentina Mazzoli, p2214
5p, 🖥️ 114
Authors find that using statistical shape modeling of quadriceps' features—rather than just volume—improves strength prediction.
5p, 🖥️ 114
Authors find that using statistical shape modeling of quadriceps' features—rather than just volume—improves strength prediction.
May 12, 2025 at 11:24 PM
Statistical shape modeling of skeletal muscles improves the prediction of muscle strength • by Salim Bin Ghouth & Valentina Mazzoli, p2214
5p, 🖥️ 114
Authors find that using statistical shape modeling of quadriceps' features—rather than just volume—improves strength prediction.
5p, 🖥️ 114
Authors find that using statistical shape modeling of quadriceps' features—rather than just volume—improves strength prediction.
This should be the correct link: cbiweb.net/radiology-re...
Radiology Research Forum – Center for Biomedical Imaging
cbiweb.net
April 26, 2025 at 8:37 PM
This should be the correct link: cbiweb.net/radiology-re...