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DeepMesh

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# DeepMesh
Motion tracking results of DeepMesh (the proposed method). 
Results are shown by overlaping meshes and images. Red contours are predicted results while green contours are ground truth
SAX | 2CH| 4CH 
--- | --- | --- 
<img src="https://github.com/qmeng99/DeepMesh/blob/main/gifs/sa_mid_pred.gif?raw=true" width="120" height="120" /> | <img src="https://github.com/qmeng99/DeepMesh/blob/main/gifs/la_2ch_pred.gif?raw=true" width="120" height="120" /> | <img src="https://github.com/qmeng99/DeepMesh/blob/main/gifs/la_4ch_pred.gif?raw=true" width="120" height="120" /> 

Comparison methods
FFD | dDemons | 3D-UNet | MulViMotion|MeshMotion|DeepMesh(Proposed)
--- | --- | --- | ---| --- | ---
<img src="https://github.com/qmeng99/DeepMesh/blob/main/gifs/FFD_crop.gif?raw=true" width="120" height="120" /> | <img src="https://github.com/qmeng99/DeepMesh/blob/main/gifs/dDemons_crop.gif?raw=true" width="120" height="120" /> | <img src="https://github.com/qmeng99/DeepMesh/blob/main/gifs/3DUnet_crop.gif?raw=true" width="120" height="120" /> | <img src="https://github.com/qmeng99/DeepMesh/blob/main/gifs/MulviMotion_crop.gif?raw=true" width="120" height="120" /> | <img src="https://github.com/qmeng99/DeepMesh/blob/main/gifs/MeshMotion_crop.gif?raw=true" width="120" height="120" /> | <img src="https://github.com/qmeng99/DeepMesh/blob/main/gifs/DeepMesh_crop.gif?raw=true" width="120" height="120" />


# Network Architectures

**The network architecture of the Deformation network (H_D(·))**
<p align="center">
    <img src="https://github.com/qmeng99/DeepMesh/blob/main/network_architecture/DeformationNetwork.png?raw=true" width="100%" height="100%">
</p>


**The network architecture of the Motion network (H_M(·))**
<p align="center">
    <img src="https://github.com/qmeng99/DeepMesh/blob/main/network_architecture/MotionNetwork.png?raw=true" width="100%" height="100%">
</p>


**The network architecture for 2D feature learning in the Motion network**
<p align="center">
    <img src="https://github.com/qmeng99/DeepMesh/blob/main/network_architecture/2DFeatureLearning.png?raw=true" width="100%" height="100%">
</p>



**The network architecture for 3D feature learning in the Motion network**
<p align="center">
    <img src="https://github.com/qmeng99/DeepMesh/blob/main/network_architecture/3DFeatureLearning.png?raw=true" width="100%" height="100%">
</p>



	a/README.md		b/README.md
1	# DeepMesh	1	# DeepMesh
2	Motion tracking results of DeepMesh (the proposed method).	2	Motion tracking results of DeepMesh (the proposed method).
3	Results are shown by overlaping meshes and images. Red contours are predicted results while green contours are ground truth	3	Results are shown by overlaping meshes and images. Red contours are predicted results while green contours are ground truth
4	SAX \| 2CH\| 4CH	4	SAX \| 2CH\| 4CH
5	--- \| --- \| ---	5	--- \| --- \| ---
6	<img src="https://github.com/qmeng99/DeepMesh/blob/main/gifs/sa_mid_pred.gif" width="120" height="120" /> \| <img src="https://github.com/qmeng99/DeepMesh/blob/main/gifs/la_2ch_pred.gif" width="120" height="120" /> \| <img src="https://github.com/qmeng99/DeepMesh/blob/main/gifs/la_4ch_pred.gif" width="120" height="120" />	6	<img src="https://github.com/qmeng99/DeepMesh/blob/main/gifs/sa_mid_pred.gif?raw=true" width="120" height="120" /> \| <img src="https://github.com/qmeng99/DeepMesh/blob/main/gifs/la_2ch_pred.gif?raw=true" width="120" height="120" /> \| <img src="https://github.com/qmeng99/DeepMesh/blob/main/gifs/la_4ch_pred.gif?raw=true" width="120" height="120" />
7		7
8	Comparison methods	8	Comparison methods
9	FFD \| dDemons \| 3D-UNet \| MulViMotion\|MeshMotion\|DeepMesh(Proposed)	9	FFD \| dDemons \| 3D-UNet \| MulViMotion\|MeshMotion\|DeepMesh(Proposed)
10	--- \| --- \| --- \| ---\| --- \| ---	10	--- \| --- \| --- \| ---\| --- \| ---
11	<img src="https://github.com/qmeng99/DeepMesh/blob/main/gifs/FFD_crop.gif" width="120" height="120" /> \| <img src="https://github.com/qmeng99/DeepMesh/blob/main/gifs/dDemons_crop.gif" width="120" height="120" /> \| <img src="https://github.com/qmeng99/DeepMesh/blob/main/gifs/3DUnet_crop.gif" width="120" height="120" /> \| <img src="https://github.com/qmeng99/DeepMesh/blob/main/gifs/MulviMotion_crop.gif" width="120" height="120" /> \| <img src="https://github.com/qmeng99/DeepMesh/blob/main/gifs/MeshMotion_crop.gif" width="120" height="120" /> \| <img src="https://github.com/qmeng99/DeepMesh/blob/main/gifs/DeepMesh_crop.gif" width="120" height="120" />	11	<img src="https://github.com/qmeng99/DeepMesh/blob/main/gifs/FFD_crop.gif?raw=true" width="120" height="120" /> \| <img src="https://github.com/qmeng99/DeepMesh/blob/main/gifs/dDemons_crop.gif?raw=true" width="120" height="120" /> \| <img src="https://github.com/qmeng99/DeepMesh/blob/main/gifs/3DUnet_crop.gif?raw=true" width="120" height="120" /> \| <img src="https://github.com/qmeng99/DeepMesh/blob/main/gifs/MulviMotion_crop.gif?raw=true" width="120" height="120" /> \| <img src="https://github.com/qmeng99/DeepMesh/blob/main/gifs/MeshMotion_crop.gif?raw=true" width="120" height="120" /> \| <img src="https://github.com/qmeng99/DeepMesh/blob/main/gifs/DeepMesh_crop.gif?raw=true" width="120" height="120" />
12		12
13		13
14	# Network Architectures	14	# Network Architectures
15		15
16	The network architecture of the Deformation network (H_D(·))	16	The network architecture of the Deformation network (H_D(·))
17	<p align="center">	17	<p align="center">
18	<img src="https://github.com/qmeng99/DeepMesh/blob/main/network_architecture/DeformationNetwork.png" width="100%" height="100%">	18	<img src="https://github.com/qmeng99/DeepMesh/blob/main/network_architecture/DeformationNetwork.png?raw=true" width="100%" height="100%">
19	</p>	19	</p>
20		20
21		21
22	The network architecture of the Motion network (H_M(·))	22	The network architecture of the Motion network (H_M(·))
23	<p align="center">	23	<p align="center">
24	<img src="https://github.com/qmeng99/DeepMesh/blob/main/network_architecture/MotionNetwork.png" width="100%" height="100%">	24	<img src="https://github.com/qmeng99/DeepMesh/blob/main/network_architecture/MotionNetwork.png?raw=true" width="100%" height="100%">
25	</p>	25	</p>
26		26
27		27
28	The network architecture for 2D feature learning in the Motion network	28	The network architecture for 2D feature learning in the Motion network
29	<p align="center">	29	<p align="center">
30	<img src="https://github.com/qmeng99/DeepMesh/blob/main/network_architecture/2DFeatureLearning.png" width="100%" height="100%">	30	<img src="https://github.com/qmeng99/DeepMesh/blob/main/network_architecture/2DFeatureLearning.png?raw=true" width="100%" height="100%">
31	</p>	31	</p>
32		32
33		33
34		34
35	The network architecture for 3D feature learning in the Motion network	35	The network architecture for 3D feature learning in the Motion network
36	<p align="center">	36	<p align="center">
37	<img src="https://github.com/qmeng99/DeepMesh/blob/main/network_architecture/3DFeatureLearning.png" width="100%" height="100%">	37	<img src="https://github.com/qmeng99/DeepMesh/blob/main/network_architecture/3DFeatureLearning.png?raw=true" width="100%" height="100%">
38	</p>	38	</p>
39		39
40		40