---
# System prepended metadata

title: 'Summary of Semester : 111-1'
tags: [Meeting]

---

# Summary of Semester : 111-1
###### tags: `Meeting`
[TOC]

## 學期進度回顧
### Paper
#### Medical
* [Iteratively Refine the Segmentation of Head and Neck Tumor in FDG-PET and CT Images](https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8211060/pdf/jitc-2020-002118.pdf)
* [Non-invasive measurement of PD-L1 status and prediction of immunotherapy response using deep learning of PET/ CT images](https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8211060/pdf/jitc-2020-002118.pdf)
* [Combining CNN and Hybrid Active Contours for Head and Neck Tumor Segmentation in CT and PET Images](https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8211060/pdf/jitc-2020-002118.pdf)
* [Deep learning-assisted ultra-fast/low-dose whole-body PET/CT imaging](https://link.springer.com/article/10.1007/s00259-020-05167-1)
* [A cross-scanner and cross-tracer deep learning method for the recovery of standard-dose imaging quality from low-dose PET](https://link.springer.com/content/pdf/10.1007/s00259-021-05644-1.pdf)
* [Automatic Lung Cancer Segmentation in [18F]FDG PET/CT Using a Two-Stage Deep Learning Approach](https://link.springer.com/content/pdf/10.1007/s13139-022-00745-7.pdf)
* [Heart and bladder detection and segmentation on FDG PET/CT by deep learning](https://link.springer.com/content/pdf/10.1186/s12880-022-00785-7.pdf)
* [Deep learning-based automated segmentation of eight brain anatomical regions using head CT images in PET/CT](https://link.springer.com/content/pdf/10.1186/s12880-022-00785-7.pdf)
* [Low-dose PET image noise reduction using deep learning: application to cardiac viability FDG imaging in patients with ischemic heart disease](https://link.springer.com/content/pdf/10.1186/s12880-022-00785-7.pdf)
* [Fully Automated Delineation of Gross Tumor Volume for Head and Neck Cancer on PET-CT Using Deep Learning: A Dual-Center Study](https://downloads.hindawi.com/journals/cmmi/2018/8923028.pdf)
* [Deep learning-based auto-delineation of gross tumour volumes and involved nodes in PET/CT images of head and neck cancer patients](https://link.springer.com/content/pdf/10.1007/s00259-020-05125-x.pdf)
* [AI-based detection of lung lesions in 18F_FDG PET-CT from lung cancer patients](https://ejnmmiphys.springeropen.com/track/pdf/10.1186/s40658-021-00376-5.pdf)
---
* [Predicting survival for hepatic arterial infusion chemotherapy of unresectable colorectal liver metastases: Radiomics analysis of pretreatment computed tomography](https://sciendo.com/es/article/10.2478/jtim-2022-0004)
* [Deep Learning for Malignancy Risk Estimation of Pulmonary Nodules Detected at Low-Dose Screening CT](https://doi.org/10.1148/radiol.2021204433)
#### Generate
* [SemanticStyleGAN: Learning Compositional Generative Priors for Controllable Image Synthesis and Editing](https://arxiv.org/pdf/2112.02236.pdf)
* [Image2StyleGAN: How to Embed Images Into the StyleGAN Latent Space?(CVPR2019)](https://openaccess.thecvf.com/content_ICCV_2019/papers/Abdal_Image2StyleGAN_How_to_Embed_Images_Into_the_StyleGAN_Latent_Space_ICCV_2019_paper.pdf)
* [Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation](https://openaccess.thecvf.com/content/CVPR2021/papers/Richardson_Encoding_in_Style_A_StyleGAN_Encoder_for_Image-to-Image_Translation_CVPR_2021_paper.pdf)

#### U-net
* [U-Net: Convolutional Networks for Biomedical Image Segmentation](https://arxiv.org/pdf/1505.04597.pdf)
* [3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation](https://arxiv.org/pdf/1606.06650.pdf)
### Programming
* Unet Segmentation Pytorch Nest of Unets:
* ![](https://i.imgur.com/E8sG44C.png)
### Other
* 10-11份處理報帳
* [整理室長與總務的職務以及需要提供給明年新生的一些資料](https://hackmd.io/2yiuroTiSZCk7r3QwKwFPQ)
* 國網中心
* [(Video)Tutorial on Denoising Diffusion-based Generative Modeling: Foundations and Applications](https://www.youtube.com/watch?v=cS6JQpEY9cs)
* Tanet論文修改。
### 感想:
#### Medical:
很高興有機會可以試做醫學相關的project，因為這是我最一開始覺得有興趣的領域，但隨著survey的時間變長，我發現在CS的領域中，Medical的相關研究很難有太多的CS貢獻，並深刻的感受到取得醫學的Data困難。在實現想法的過程中也遇上了一些困難，十分感謝慶龍的協助，幫助了我們節省很多走彎路的時間，同時我也發現了自己的實作能力尚需加強，因此我希望在四月前磨練我寫code的能力，這樣我才可以在有論文研究的方向後爭去時間做更多的測試。
#### Paper:
在這學期中，我感受到了我讀論文的能力有些許進步，大概只需要花之前一半的時間就可以掌握一篇內容的重點，但我發現我在讀論文的時候很容易順著作者的想法走，這使我無法從閱讀論文的過程中找出他們需要突破的地方，進而會影響到我找論文的方向，因此我希望在未來的10篇論文內，學習提出我自己對論文的疑問跟質疑。另外，隨著讀的論文愈來越多，我發現統整的重要性，因次我希望在寒假時間把之前閱讀的論文都做整理。

### 題目發想
#### Generate --> Diffusion?GAN?
#### Image --> Face? Medical? background? point?

![](https://i.imgur.com/xOMEyYI.png)

## 寒假進度規劃
### Paper
* [Denoising Diffusion Probabilistic Models](https://arxiv.org/pdf/2006.11239.pdf)
    * input?
    * output?
    * application?(藝術?或著怎麼使用他)
* [MotionDiffuse: Text-Driven Human Motion Generation with Diffusion Model](https://arxiv.org/pdf/2208.15001.pdf)
* [HUMAN MOTION DIFFUSION MODEL](https://arxiv.org/pdf/2209.14916.pdf)
* [Diffusion Models: A Comprehensive Survey of Methods and Applications](https://arxiv.org/pdf/2209.00796.pdf)
* [一些Diffusion的paper](https://github.com/heejkoo/Awesome-Diffusion-Models)
* [Face Generation and Editing with StyleGAN: A Survey](http://arxiv.org/abs/2212.09102)
### Programming
* 希望可以把醫學的影像部分告一段落，並整理程式碼。
* Unet Segmentation Pytorch Nest of Unets
* 回顧Docker
* survey diffusion model要求的設備
### Other
* 多益英文閱讀題本(全)
* 確認研究方向

## 1/16~1/22進度安排
### Paper
* [Denoising Diffusion Probabilistic Models](https://arxiv.org/pdf/2006.11239.pdf)
### Medical
* 整理程式碼
* k-fold
* 平移跟鏡像的augmentation
### Programming
* Unet Segmentation Pytorch Nest of Unets
    * 找data
### Other
* 整理室長與總務的職務以及需要提供給明年新生的一些資料
* pytorch的書
* 多益英文閱讀題本3回



## 1/23~1/29進度安排
### Paper
* [HUMAN MOTION DIFFUSION MODEL](https://arxiv.org/pdf/2209.14916.pdf)
### Medical
* 整理code
### Programming
* Unet Segmentation Pytorch Nest of Unets
### Other
* pytorch的書
* 多益英文閱讀題本3回
* 過年出去玩
## 1/30~2/5進度安排
### Paper
* [MotionDiffuse: Text-Driven Human Motion Generation with Diffusion Model](https://arxiv.org/pdf/2208.15001.pdf)
### Medical
* 整理程式碼
* 平移跟鏡像的augmentation
### Programming
* Unet Segmentation Pytorch Nest of Unets
### Other
* pytorch的書
* 多益英文閱讀題本3回
## 2/6~2/12進度安排
### Paper
* [Diffusion Models: A Comprehensive Survey of Methods and Applications](https://arxiv.org/pdf/2209.00796.pdf)
* [一些Diffusion的paper](https://github.com/heejkoo/Awesome-Diffusion-Models)

### Programming
* Unet Segmentation Pytorch Nest of Unets(跑完)
### Other
* pytorch的書
* 多益英文閱讀題本3回

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