Dear all,
\nI'm super excited about this competition. Also, it's interesting that there's more and more competiton on Kaggle for medical image processing.
\nIn this thread, I'm trying to enumerate related works on this topic:
to be continued
", "messages": [ { "id": 1387139, "postDate": "2021-07-14T01:56:53.967Z", "content": "Dear all,
\nI'm super excited about this competition. Also, it's interesting that there's more and more competiton on Kaggle for medical image processing.
\nIn this thread, I'm trying to enumerate related works on this topic:
to be continued
", "rawMarkdown": "Dear all,\nI'm super excited about this competition. Also, it's interesting that there's more and more competiton on Kaggle for medical image processing.\nIn this thread, I'm trying to enumerate related works on this topic:\n# Research papers\n1. [Radiomics and radiogenomics in gliomas: a contemporary update](https://www.nature.com/articles/s41416-021-01387-w)\n2. [The RSNA-ASNR-MICCAI BraTS 2021 Benchmark on Brain Tumor Segmentation and Radiogenomic Classification\n](https://arxiv.org/abs/2107.02314)\n3. [Radiogenomics of Glioblastoma: Machine Learningโbased Classification of Molecular Characteristics by Using Multiparametric and Multiregional MR Imaging Features](https://pubs.rsna.org/doi/10.1148/radiol.2016161382)\n4. [Introduction to radiomics and radiogenomics in neuro-oncology: implications and challenges](https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7829475/)\n5. [Radiomics in Brain Tumor: Image Assessment, Quantitative Feature Descriptors, and Machine-Learning Approaches](http://www.ajnr.org/content/39/2/208)\n6. [MRI-Based Radiomics and Radiogenomics in the Management\nof Low-Grade Gliomas: Evaluating the Evidence for a\nParadigm Shift](https://www.mdpi.com/2077-0383/10/7/1411/pdf)\n7. [The Era of Radiogenomics in Precision Medicine: An Emerging Approach to Support Diagnosis, Treatment Decisions, and Prognostication in Oncology](https://www.frontiersin.org/articles/10.3389/fonc.2020.570465/full)\n# Repositories\n*to be continued*\n", "votes": 24 }, { "id": 1393797, "postDate": "2021-07-19T23:10:04.383Z", "content": "", "rawMarkdown": "This paper is good.\nhttps://www.spiedigitallibrary.org/journals/journal-of-medical-imaging/volume-8/issue-3/031907/Radiogenomics-in-brain-breast-and-lung-cancer--opportunities-and/10.1117/1.JMI.8.3.031907.full?SSO=1", "votes": 1, "replies": [ { "id": 1395225, "postDate": "2021-07-21T03:54:01.287Z", "content": "Thanks, I will check it.
", "rawMarkdown": "Thanks, I will check it." } ] }, { "id": 1387911, "postDate": "2021-07-14T14:05:27.840Z", "content": "Excellent list. Thanks for share๐๐๐๐๐๐
", "rawMarkdown": "Excellent list. Thanks for share๐๐๐๐๐๐", "votes": 1 }, { "id": 1387158, "postDate": "2021-07-14T02:27:57.137Z", "content": "Thanks for the references. Learning a lot
", "rawMarkdown": "Thanks for the references. Learning a lot", "votes": 1 }, { "id": 1387981, "postDate": "2021-07-14T14:56:49.407Z", "rawMarkdown": "", "votes": 1, "isDeleted": true }, { "id": 1821707, "postDate": "2022-06-15T20:08:24.890Z", "content": "Thanks for sharing. Great post
", "rawMarkdown": "Thanks for sharing. Great post " } ], "comments": [ { "id": 1393797, "author_name": "Ilia", "author_url": "", "post_date": "2021-07-19T23:10:04.383000", "content": "", "votes": 1, "replies": [ { "id": 1395225, "author_name": "Van", "author_url": "", "post_date": "2021-07-21T03:54:01.287000", "content": "Thanks, I will check it.
", "votes": 0, "replies": [] } ] }, { "id": 1387911, "author_name": "Sani Kamal", "author_url": "", "post_date": "2021-07-14T14:05:27.840000", "content": "Excellent list. Thanks for share๐๐๐๐๐๐
", "votes": 1, "replies": [] }, { "id": 1387158, "author_name": "tharun_01", "author_url": "", "post_date": "2021-07-14T02:27:57.137000", "content": "Thanks for the references. Learning a lot
", "votes": 1, "replies": [] }, { "id": 1387981, "author_name": "", "author_url": "", "post_date": "2021-07-14T14:56:49.407000", "content": "", "votes": 1, "replies": [] }, { "id": 1821707, "author_name": "Emel Kose", "author_url": "", "post_date": "2022-06-15T20:08:24.890000", "content": "Thanks for sharing. Great post
", "votes": 0, "replies": [] } ], "raw_markdown_by_id": { "1387139": "Dear all,\nI'm super excited about this competition. Also, it's interesting that there's more and more competiton on Kaggle for medical image processing.\nIn this thread, I'm trying to enumerate related works on this topic:\n# Research papers\n1. [Radiomics and radiogenomics in gliomas: a contemporary update](https://www.nature.com/articles/s41416-021-01387-w)\n2. [The RSNA-ASNR-MICCAI BraTS 2021 Benchmark on Brain Tumor Segmentation and Radiogenomic Classification\n](https://arxiv.org/abs/2107.02314)\n3. [Radiogenomics of Glioblastoma: Machine Learningโbased Classification of Molecular Characteristics by Using Multiparametric and Multiregional MR Imaging Features](https://pubs.rsna.org/doi/10.1148/radiol.2016161382)\n4. [Introduction to radiomics and radiogenomics in neuro-oncology: implications and challenges](https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7829475/)\n5. [Radiomics in Brain Tumor: Image Assessment, Quantitative Feature Descriptors, and Machine-Learning Approaches](http://www.ajnr.org/content/39/2/208)\n6. [MRI-Based Radiomics and Radiogenomics in the Management\nof Low-Grade Gliomas: Evaluating the Evidence for a\nParadigm Shift](https://www.mdpi.com/2077-0383/10/7/1411/pdf)\n7. [The Era of Radiogenomics in Precision Medicine: An Emerging Approach to Support Diagnosis, Treatment Decisions, and Prognostication in Oncology](https://www.frontiersin.org/articles/10.3389/fonc.2020.570465/full)\n# Repositories\n*to be continued*\n", "1393797": "This paper is good.\nhttps://www.spiedigitallibrary.org/journals/journal-of-medical-imaging/volume-8/issue-3/031907/Radiogenomics-in-brain-breast-and-lung-cancer--opportunities-and/10.1117/1.JMI.8.3.031907.full?SSO=1", "1387911": "Excellent list. Thanks for share๐๐๐๐๐๐", "1387158": "Thanks for the references. Learning a lot", "1387981": "", "1821707": "Thanks for sharing. Great post " } }