The competition data is from multiple facilities and a large number of cases, and looking at LB, the scores seem to be improved over prior studies.
\nIs it possible to compile the results into an academic paper after the competition is over? Or are there any plans for the host to compile the results into an academic paper?
", "messages": [ { "id": 2729023, "postDate": "2024-04-02T14:15:42.027Z", "content": "Absolutely, compiling the results from this competition into an academic paper is not only possible but is part of our plan. The rich dataset from multiple facilities, along with the large number of cases and the noticeable improvement in scores on the leaderboard (LB) compared to prior studies, presents a unique opportunity for valuable scientific contributions.
\nWe are keen to highlight the innovative solutions and advancements demonstrated through this competition. Therefore, we will extend an invitation to the top 3 participants based on the final LB rankings to co-author an academic paper with us. This collaboration aims to share detailed insights into their winning strategies, alongside a comprehensive analysis of the competition's outcomes.
\nAdditionally, the paper will include a thorough description of the dataset used, emphasizing the diversity of the data sources and the scale of the challenge. We will also delve into the methodologies employed for data anonymization and de-identification to ensure participant privacy and data security, showcasing the defacing and anonymization tool developed for this purpose.
\nOur goal is to not only document the innovative approaches and technologies that led to improved outcomes but also to set a new benchmark for future studies in this domain. We believe that this collaborative effort will contribute significantly to the field and encourage further research and development.
\nFor those interested in being part of this academic endeavor, we recommend focusing on developing and refining your solutions. We look forward to the wealth of knowledge that this competition and its participants will bring to the scientific community.
", "rawMarkdown": "Absolutely, compiling the results from this competition into an academic paper is not only possible but is part of our plan. The rich dataset from multiple facilities, along with the large number of cases and the noticeable improvement in scores on the leaderboard (LB) compared to prior studies, presents a unique opportunity for valuable scientific contributions.\n\nWe are keen to highlight the innovative solutions and advancements demonstrated through this competition. Therefore, we will extend an invitation to the top 3 participants based on the final LB rankings to co-author an academic paper with us. This collaboration aims to share detailed insights into their winning strategies, alongside a comprehensive analysis of the competition's outcomes.\n\nAdditionally, the paper will include a thorough description of the dataset used, emphasizing the diversity of the data sources and the scale of the challenge. We will also delve into the methodologies employed for data anonymization and de-identification to ensure participant privacy and data security, showcasing the defacing and anonymization tool developed for this purpose.\n\nOur goal is to not only document the innovative approaches and technologies that led to improved outcomes but also to set a new benchmark for future studies in this domain. We believe that this collaborative effort will contribute significantly to the field and encourage further research and development.\n\nFor those interested in being part of this academic endeavor, we recommend focusing on developing and refining your solutions. We look forward to the wealth of knowledge that this competition and its participants will bring to the scientific community.", "votes": 4, "replies": [ { "id": 2741052, "postDate": "2024-04-08T05:30:34.510Z", "content": "Just to confirm, groups will be able to write scientific articles about their own work too, correct? If so, what information about the dataset can we use when writing articles?
", "rawMarkdown": "Just to confirm, groups will be able to write scientific articles about their own work too, correct? If so, what information about the dataset can we use when writing articles?", "votes": 1, "replies": [ { "id": 2741468, "postDate": "2024-04-08T11:11:42.237Z", "content": "You are correct. We will provide a citation DOI when we have it.
", "rawMarkdown": "You are correct. We will provide a citation DOI when we have it." } ] } ] }, { "id": 2728535, "postDate": "2024-04-02T09:40:57.040Z", "content": "The competition data is from multiple facilities and a large number of cases, and looking at LB, the scores seem to be improved over prior studies.
\nIs it possible to compile the results into an academic paper after the competition is over? Or are there any plans for the host to compile the results into an academic paper?
", "rawMarkdown": "The competition data is from multiple facilities and a large number of cases, and looking at LB, the scores seem to be improved over prior studies.\n\nIs it possible to compile the results into an academic paper after the competition is over? Or are there any plans for the host to compile the results into an academic paper?", "votes": 2 } ], "comments": [ { "id": 2729023, "author_name": "Eduardo Farina", "author_url": "", "post_date": "2024-04-02T14:15:42.027000", "content": "Absolutely, compiling the results from this competition into an academic paper is not only possible but is part of our plan. The rich dataset from multiple facilities, along with the large number of cases and the noticeable improvement in scores on the leaderboard (LB) compared to prior studies, presents a unique opportunity for valuable scientific contributions.
\nWe are keen to highlight the innovative solutions and advancements demonstrated through this competition. Therefore, we will extend an invitation to the top 3 participants based on the final LB rankings to co-author an academic paper with us. This collaboration aims to share detailed insights into their winning strategies, alongside a comprehensive analysis of the competition's outcomes.
\nAdditionally, the paper will include a thorough description of the dataset used, emphasizing the diversity of the data sources and the scale of the challenge. We will also delve into the methodologies employed for data anonymization and de-identification to ensure participant privacy and data security, showcasing the defacing and anonymization tool developed for this purpose.
\nOur goal is to not only document the innovative approaches and technologies that led to improved outcomes but also to set a new benchmark for future studies in this domain. We believe that this collaborative effort will contribute significantly to the field and encourage further research and development.
\nFor those interested in being part of this academic endeavor, we recommend focusing on developing and refining your solutions. We look forward to the wealth of knowledge that this competition and its participants will bring to the scientific community.
", "votes": 4, "replies": [ { "id": 2741052, "author_name": "Anderson Carlos", "author_url": "", "post_date": "2024-04-08T05:30:34.510000", "content": "Just to confirm, groups will be able to write scientific articles about their own work too, correct? If so, what information about the dataset can we use when writing articles?
", "votes": 1, "replies": [ { "id": 2741468, "author_name": "FelipeKitamura, MD, PhD", "author_url": "", "post_date": "2024-04-08T11:11:42.237000", "content": "You are correct. We will provide a citation DOI when we have it.
", "votes": 0, "replies": [] } ] } ] } ], "raw_markdown_by_id": { "2729023": "Absolutely, compiling the results from this competition into an academic paper is not only possible but is part of our plan. The rich dataset from multiple facilities, along with the large number of cases and the noticeable improvement in scores on the leaderboard (LB) compared to prior studies, presents a unique opportunity for valuable scientific contributions.\n\nWe are keen to highlight the innovative solutions and advancements demonstrated through this competition. Therefore, we will extend an invitation to the top 3 participants based on the final LB rankings to co-author an academic paper with us. This collaboration aims to share detailed insights into their winning strategies, alongside a comprehensive analysis of the competition's outcomes.\n\nAdditionally, the paper will include a thorough description of the dataset used, emphasizing the diversity of the data sources and the scale of the challenge. We will also delve into the methodologies employed for data anonymization and de-identification to ensure participant privacy and data security, showcasing the defacing and anonymization tool developed for this purpose.\n\nOur goal is to not only document the innovative approaches and technologies that led to improved outcomes but also to set a new benchmark for future studies in this domain. We believe that this collaborative effort will contribute significantly to the field and encourage further research and development.\n\nFor those interested in being part of this academic endeavor, we recommend focusing on developing and refining your solutions. We look forward to the wealth of knowledge that this competition and its participants will bring to the scientific community.", "2728535": "The competition data is from multiple facilities and a large number of cases, and looking at LB, the scores seem to be improved over prior studies.\n\nIs it possible to compile the results into an academic paper after the competition is over? Or are there any plans for the host to compile the results into an academic paper?" } }