# 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 {%hackmd @themes/dracula %}