Search
283 results for “AlexCrimi”
-
Seen illumetry?
Exploring intuitive interaction with volumetric data using an Illumetry 3D display and a tracked plastic frame acting as an anatomical slicing plane.
It looks like something that can be done also simply on a ipad but still
#medtech #unity3d #medicalinnovation #ux -
There is something disarming about a world covered in dots. Pumpkins seem to breathe, wrapped in #polkadots. Tentacles reach and curl, at first unsettling, then softer. Their repetition becomes a language, mapping infinity onto something tangible.
The work suggests we are patterns within patterns: dots as cells, stars, memories; pumpkins ground us, while tentacles stretch beyond limits. It echoes #YayoiKusama, who turned struggle into a universe where even a dot can hold infinity.
#Japan #art -
There is something disarming about a world covered in dots. Pumpkins seem to breathe, wrapped in #polkadots. Tentacles reach and curl, at first unsettling, then softer. Their repetition becomes a language, mapping infinity onto something tangible.
The work suggests we are patterns within patterns: dots as cells, stars, memories; pumpkins ground us, while tentacles stretch beyond limits. It echoes #YayoiKusama, who turned struggle into a universe where even a dot can hold infinity.
#Japan #art -
There is something disarming about a world covered in dots. Pumpkins seem to breathe, wrapped in #polkadots. Tentacles reach and curl, at first unsettling, then softer. Their repetition becomes a language, mapping infinity onto something tangible.
The work suggests we are patterns within patterns: dots as cells, stars, memories; pumpkins ground us, while tentacles stretch beyond limits. It echoes #YayoiKusama, who turned struggle into a universe where even a dot can hold infinity.
#Japan #art -
There is something disarming about a world covered in dots. Pumpkins seem to breathe, wrapped in #polkadots. Tentacles reach and curl, at first unsettling, then softer. Their repetition becomes a language, mapping infinity onto something tangible.
The work suggests we are patterns within patterns: dots as cells, stars, memories; pumpkins ground us, while tentacles stretch beyond limits. It echoes #YayoiKusama, who turned struggle into a universe where even a dot can hold infinity.
#Japan #art -
There is something disarming about a world covered in dots. Pumpkins seem to breathe, wrapped in #polkadots. Tentacles reach and curl, at first unsettling, then softer. Their repetition becomes a language, mapping infinity onto something tangible.
The work suggests we are patterns within patterns: dots as cells, stars, memories; pumpkins ground us, while tentacles stretch beyond limits. It echoes #YayoiKusama, who turned struggle into a universe where even a dot can hold infinity.
#Japan #art -
We’ve launched the EU project CRUCiAL – Civic Renaissance: Enabling Underrepresented Groups and Cities with partners from Poland, Latvia, Ukraine, and Italy 🌍
First stop: #Krakow, strengthening democratic participation among underrepresented group: women at risk of exclusion, people with disabilities, migrants, starting with the #art sector.
💡 #Capacitybuilding
🤝 Mentoring & policy dialogue
🎨 Creative workshops & #storytelling
📣 Campaigns
📊 Digital skills
#EU funded 🇪🇺 #CERV-2025-CITIZENS-CIV -
We’ve launched the EU project CRUCiAL – Civic Renaissance: Enabling Underrepresented Groups and Cities with partners from Poland, Latvia, Ukraine, and Italy 🌍
First stop: #Krakow, strengthening democratic participation among underrepresented group: women at risk of exclusion, people with disabilities, migrants, starting with the #art sector.
💡 #Capacitybuilding
🤝 Mentoring & policy dialogue
🎨 Creative workshops & #storytelling
📣 Campaigns
📊 Digital skills
#EU funded 🇪🇺 #CERV-2025-CITIZENS-CIV -
I am excited to announce the #MICCAI2026 MIRASOL Workshop!
Building #ML for #medicalimaging in low-resource settings 🌍
MRI, CT, EEG & more focused on real impact in LMICs.
🗓 Oct 4-8 2026
📍 Abu Dhabi (possible change)
https://mirasol.rise-miccai.org/#
Make AI work for everyone #AIforGood -
I am excited to announce the #MICCAI2026 MIRASOL Workshop!
Building #ML for #medicalimaging in low-resource settings 🌍
MRI, CT, EEG & more focused on real impact in LMICs.
🗓 Oct 4-8 2026
📍 Abu Dhabi (possible change)
https://mirasol.rise-miccai.org/#
Make AI work for everyone #AIforGood -
I am excited to announce the #MICCAI2026 MIRASOL Workshop!
Building #ML for #medicalimaging in low-resource settings 🌍
MRI, CT, EEG & more focused on real impact in LMICs.
🗓 Oct 4-8 2026
📍 Abu Dhabi (possible change)
https://mirasol.rise-miccai.org/#
Make AI work for everyone #AIforGood -
I am excited to announce the #MICCAI2026 MIRASOL Workshop!
Building #ML for #medicalimaging in low-resource settings 🌍
MRI, CT, EEG & more focused on real impact in LMICs.
🗓 Oct 4-8 2026
📍 Abu Dhabi (possible change)
https://mirasol.rise-miccai.org/#
Make AI work for everyone #AIforGood -
I am excited to announce the #MICCAI2026 MIRASOL Workshop!
Building #ML for #medicalimaging in low-resource settings 🌍
MRI, CT, EEG & more focused on real impact in LMICs.
🗓 Oct 4-8 2026
📍 Abu Dhabi (possible change)
https://mirasol.rise-miccai.org/#
Make AI work for everyone #AIforGood -
Another neuro tool you never asked for. A #brain #Tractography visualizer in #Threejs animated by #mediapipe. The tractography is not real, those are just drawn lines.
Demo and source code: https://www.alessandrocrimi.com/ar/brain-tractography.html -
Another neuro tool you never asked for. A #brain #Tractography visualizer in #Threejs animated by #mediapipe. The tractography is not real, those are just drawn lines.
Demo and source code: https://www.alessandrocrimi.com/ar/brain-tractography.html -
Another neuro tool you never asked for. A #brain #Tractography visualizer in #Threejs animated by #mediapipe. The tractography is not real, those are just drawn lines.
Demo and source code: https://www.alessandrocrimi.com/ar/brain-tractography.html -
Another neuro tool you never asked for. A #brain #Tractography visualizer in #Threejs animated by #mediapipe. The tractography is not real, those are just drawn lines.
Demo and source code: https://www.alessandrocrimi.com/ar/brain-tractography.html -
Another neuro tool you never asked for. A #brain #Tractography visualizer in #Threejs animated by #mediapipe. The tractography is not real, those are just drawn lines.
Demo and source code: https://www.alessandrocrimi.com/ar/brain-tractography.html -
Check our yet another "Protocol for automated analysis of biological images using #Python code" https://sciencedirect.com/science/article/pii/S2666166726000213
-Steps for the analysis of confocal images through Python
-Guidance on the usage of machine learning for #cellsegmentation
-Troubleshooting of common issues -
🧠Our New preprint:
We propose a “neuro-bridge” framework linking #spiking neural networks with biophysical brain simulations for Alzheimer’s detection from #EEG.
📉 1/f slope as key biomarker (E/I balance)
🔁 ML predictions ↔ circuit mechanisms #NeuroAI
https://arxiv.org/abs/2602.07010 -
Someone at AI Research Roundup made a video about our SharpXR: Structure-Aware Denoising for Pediatric X-Rays
https://www.youtube.com/watch?v=UXFYh7GPDR4#AI #MachineLearning #DeepLearning #MedicalImaging #Denoising #PediatricRadiology #ChestXRay
-
We have this finally online 🧠🧠🧠:
"Modeling the Spread of Misfolded Proteins in #Alzheimer’s Disease using Higher-Order Simplicial Complex Contagion", big shout to Marcin Wardyinski, Iacopo Iacopini, Giovanni Petri, & Vito Latora
https://ieeexplore.ieee.org/document/11253716 Free on MedXiv!
Code: https://github.com/mwardynski/MP-spreading-prediction-with-SCM
#TDA #topological #data #complex networks -
We have this finally online 🧠🧠🧠:
"Modeling the Spread of Misfolded Proteins in #Alzheimer’s Disease using Higher-Order Simplicial Complex Contagion", big shout to Marcin Wardyinski, Iacopo Iacopini, Giovanni Petri, & Vito Latora
https://ieeexplore.ieee.org/document/11253716 Free on MedXiv!
Code: https://github.com/mwardynski/MP-spreading-prediction-with-SCM
#TDA #topological #data #complex networks -
We have this finally online 🧠🧠🧠:
"Modeling the Spread of Misfolded Proteins in #Alzheimer’s Disease using Higher-Order Simplicial Complex Contagion", big shout to Marcin Wardyinski, Iacopo Iacopini, Giovanni Petri, & Vito Latora
https://ieeexplore.ieee.org/document/11253716 Free on MedXiv!
Code: https://github.com/mwardynski/MP-spreading-prediction-with-SCM
#TDA #topological #data #complex networks -
We have this finally online 🧠🧠🧠:
"Modeling the Spread of Misfolded Proteins in #Alzheimer’s Disease using Higher-Order Simplicial Complex Contagion", big shout to Marcin Wardyinski, Iacopo Iacopini, Giovanni Petri, & Vito Latora
https://ieeexplore.ieee.org/document/11253716 Free on MedXiv!
Code: https://github.com/mwardynski/MP-spreading-prediction-with-SCM
#TDA #topological #data #complex networks -
We have this finally online 🧠🧠🧠:
"Modeling the Spread of Misfolded Proteins in #Alzheimer’s Disease using Higher-Order Simplicial Complex Contagion", big shout to Marcin Wardyinski, Iacopo Iacopini, Giovanni Petri, & Vito Latora
https://ieeexplore.ieee.org/document/11253716 Free on MedXiv!
Code: https://github.com/mwardynski/MP-spreading-prediction-with-SCM
#TDA #topological #data #complex networks -
For #ReservoirComputing lovers,I found a challenging #attractor, the Thomas':
dx = np.sin(y) - b * x
dy = np.sin(z) - b * y
dz = np.sin(x) - b * z
x += dx * dt
y += dy * dt
z += dz * dt
3k neurons yet 67% correlation. Here is the code for you https://github.com/alecrimi/magic_reservoir/blob/main/thomas_attractor_prediction.py -
For #ReservoirComputing lovers,I found a challenging #attractor, the Thomas':
dx = np.sin(y) - b * x
dy = np.sin(z) - b * y
dz = np.sin(x) - b * z
x += dx * dt
y += dy * dt
z += dz * dt
3k neurons yet 67% correlation. Here is the code for you https://github.com/alecrimi/magic_reservoir/blob/main/thomas_attractor_prediction.py -
For #ReservoirComputing lovers,I found a challenging #attractor, the Thomas':
dx = np.sin(y) - b * x
dy = np.sin(z) - b * y
dz = np.sin(x) - b * z
x += dx * dt
y += dy * dt
z += dz * dt
3k neurons yet 67% correlation. Here is the code for you https://github.com/alecrimi/magic_reservoir/blob/main/thomas_attractor_prediction.py -
For #ReservoirComputing lovers,I found a challenging #attractor, the Thomas':
dx = np.sin(y) - b * x
dy = np.sin(z) - b * y
dz = np.sin(x) - b * z
x += dx * dt
y += dy * dt
z += dz * dt
3k neurons yet 67% correlation. Here is the code for you https://github.com/alecrimi/magic_reservoir/blob/main/thomas_attractor_prediction.py