Update README.md

README.md

@@ -1,10 +1,11 @@
 # DFC (Deep Fiber Clustering)
-__DFC: Anatomically Informed Unsupervised Deep Learning for Fast and Effective White Matter Fiber Clustering__
+__Deep Fiber Clustering: Anatomically Informed Unsupervised Deep Learning for Fast and Effective White Matter Parcellation__
 
 This code implements a deep learning method for white matter fiber clustering using diffusion MRI data, as described in the following paper:
 
 Yuqian Chen, Chaoyi Zhang, Yang Song, Tengfei Xue, Nikos Makris, Yogesh Rathi, Weidong Cai, Fan Zhang, Lauren J. O’Donnell.
-DFC: Anatomically Informed Unsupervised Deep Learning for Fast and Effective White Matter Fiber Clustering. (In submission soon)
+Deep Fiber Clustering: Anatomically Informed Unsupervised Deep Learning for Fast and Effective White Matter Parcellation. (MICCAI 2021, travel award)
+![figure1](https://user-images.githubusercontent.com/59594831/160573732-fa1881b2-780d-41bb-86b6-c4eb6cae801d.png)
 
 ## Installation
 The code has been tested with Python 3.7, Pytorch 1.7.1, CUDA 10.1 on Ubuntu 18.04.  
@@ -19,7 +20,7 @@ python train.py -indir <path of training data>
 
 To evaluate the model with testing data:
 ```
-python test.py -indir <path of testing data>
+python test.py -indir <path of testing data> -modeldir <path of trainign model>
 ```
 Effective fiber clustering was achieved with the proposed method. Below is a visualization of the obtained clusters.