License change to apache-2.0

README.md

@@ -62,9 +62,10 @@ python inference_brain2vec.py \
 ```
 
 # Methods
-transform:
-(80, 96, 80)
-pixdim=2
+Input scan image dimensions are 113x137x113, 1.5mm^3 resolution, aligned to MNI152 space (see [radiata-ai/brain-structure](https://huggingface.co/datasets/radiata-ai/brain-structure)).  
+
+The image transform crops to 80 x 96 x 80, 2mm^3 resolution, and scales image intensity to range [0,1]. Images are flattened to 614400-length 1D vectors.  
+
 10 epochs
     max_batch_size: int = 2,
     batch_size: int = 16,
@@ -76,13 +77,13 @@ Pinaya
 
 # Citation
 ```
-@dataset{Radiata-Brain-Structure,
+@misc{Radiata-Brain2Vec,
   author    = {Jesse Brown and Clayton Young},
-  title     = {Brain-Structure: Processed Structural MRI Brain Scans Across the Lifespan},
+  title     = {brain2vec_PCA: A VAE Model for Brain Structure T1 MRIs},
   year      = {2025},
-  url          = {https://huggingface.co/datasets/radiata-ai/brain-structure},
+  url       = {https://huggingface.co/radiata-ai/brain2vec},
   note      = {Version 1.0},
-  publisher    = {Hugging Face}
+  publisher = {Hugging Face}
 }
 ```