人工智慧在醫學影像的分析與應用 (Spring, 2022)

快速連結

• 「上課參與」次數統計表，線上 QA

Guidelines

• England, Joseph R., and Phillip M. Cheng. "Artificial intelligence for medical image analysis: a guide for authors and reviewers." American journal of roentgenology 212.3 (2019): 513-519. [link]

• Marques, Oge, and Christian Garbin. "Assessing Methods and Tools to Improve Reporting, Increase Transparency, and Reduce Failures in Machine Learning Applications in Health Care." Radiology: Artificial Intelligence (2022): e210127. [link].

Guideline

• Datasheets for Datasets: Gebru, Timnit, et al. "Datasheets for datasets." Communications of the ACM 64.12 (2021): 86-92.

TBA

• TBA

Segmentation Models

• Survey:  Wang, Risheng, et al. "Medical image segmentation using deep learning: A survey." IET Image Processing (2022).

• nnU-Net: Isensee, Fabian, et al. "nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation." Nature methods 18.2 (2021): 203-211.

• UNETR: Hatamizadeh, Ali, et al. "UNETR: Transformers for 3D medical image segmentation." Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision. 2022.

• DiNTS: He, Yufan, et al. "DiNTS: Differentiable neural network topology search for 3d medical image segmentation." Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2021.

Labelling Tools

• MONAI Label: Diaz-Pinto, Andres, et al. "MONAI Label: A framework for AI-assisted Interactive Labeling of 3D Medical Images." arXiv preprint arXiv:2203.12362 (2022).

Classification Models

• TBA

Detection Models

• nnDetection: Baumgartner, Michael, et al. "nnDetection: A self-configuring method for medical object detection." International Conference on Medical Image Computing and Computer-Assisted Intervention. Springer, Cham, 2021.

X-ray Analytics

• Çallı, Erdi, et al. "Deep learning for chest X-ray analysis: A survey." Medical Image Analysis 72 (2021): 102125.

Imaging

• 醫學影像成像原理 (台灣大學・周呈霙教授) [404]

Medicine Department 

• Intensive Care Unit

  • • AI in Hemodynamics (台大醫院・葉育彰醫師) [35:02]

    • AI in Critical Care (台大醫院・葉育彰醫師) [48:53]

• Cardiology

  • • Overview of Cardiovascular System Pathophysiology and Monitoring Instruments (新竹台大醫院・廖敏村醫師) [01:03:13]

    • Cardiovascular | EKG Basics [52:28]

• Medical Imaging

  • • Fundamental of Body Imaging: Pancreas (台大醫院・陳柏廷醫師) [56:09]

    • Scrollable computed tomography images

      • • Brain Case 1: No intravenous contrast.

        • Brain Case 2: contrast CT, axial plane only

        • Thorax

        • Abdomen and Pelvis

Anatomy (Sam Webster)

• Head and neck

  • • Ventricular system of the brain (CSF and stuff) [17:16]

    • Brainstem anatomy - just the lumpy bits [27:01]

    • Blood supply to the brain (circle of Willis) [21:35]

    • Brain - midline neuroanatomy part 1 [15:37]

    • Brain - midline neuroanatomy part 2 [10:52]

• Thorax anatomy

  • • Thorax organs - plastic anatomy [21:00]

    • Thorax transverse CT imaging [27:02]

    • Lungs (anatomy) [18:00]

    • Lung shapes (anatomy) [10:09]

    • Airway anatomy [18:58]

    • Diaphragm (anatomy) [24:26]

• Heart

  • • Heart (anatomy) [26:43]

    • SA node & AV node (heart anatomy) [17:01]

    • Pericardium (anatomy) [21:43]

    • Heart electrics anatomy [15:37]

Anatomy (Sam Webster)

• Cardiovascular

  • • Cardiovascular anatomy introduction [28:27]

    • Coronary arteries & cardiac veins [11:58]

    • Aorta (anatomy) [29:37]

    • How does a blood clot pass from the heart to the brain? [16:33]

• Breast

  • • Breast anatomy [19:36]

• Abdomen anatomy

  • • Abdominal organs (plastic anatomy) [20:42]

    • Abdomen transverse CT imaging anatomy [31:59]

    • Pancreas (anatomy) [25:41]

    • Liver (anatomy) - love your liver [31:29]

    • Hepatic portal vein (anatomy) [16:20]

    • Adrenal glands [19:21]

    • Bony abdomen landmarks (anatomy) [14:02]

• Pelvis anatomy

  • • Female pelvic organs introduction [12:01]

TBA

• TBA

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學期計畫：選題參考

• PAN (PANCREASaver) 張大衛、陳彥嘉、葉彥辰

  • • pancreatic cancer segmentation

    • pancreatic cancer detection and classification

• GYN (Gynecological Oncology Screening) 張大衛

  • • body part index

    • ovarian cancer detection

• PCA (Precision Cancer Advisor) 蔡欣翰、張君豪

  • • smart annotation

    • prognosis prediction

• OXR (Omni X-Ray) 黃田宇、張瑋姍、林子敬、陳冠儒

  • • catheter misplacing

    • pneumothorax detection 

    • tuberculosis detection

• MOS (Medical Object Segmentation) 王柏川

  • • Organ/Tumor segmentation

    • Multi-view multi-label segmentation

• CVS (Cardiovascular Suite) 吳耀緯、胡彥川、呂明修

  • • ECG AF detection

    • ECG LVEF detection

    • coronary artery calcium score estimation

• ICU (Intensive Care Unit Watcher) 郭唯崢、郭庭嘉、吳承彥

  • • acute kidney injury prediction

    • acute respiratory distress syndrome prediction

    • sepsis prediction

• DBT (Digital Breast Twin) 陳彥嘉

  • • whole slide image analysis

• MicroC (Microcirculation video analysis) 呂明修

Medical AI Analytics

• X-ray multi-view registration

• Data-Centric AI models or tools

Medical AI Technologies

• Compressed deep learning model (based on Core ML)

• Healthcare data extraction and data cleaning 呂明修

• Federated learning 王柏川

• Medical MLOps

• Quantum machine learning via Pennylane

Medical AI Solutions

• Medical AI system development and integration

• IP

• Business model

• Healthcare/medical hackathon or online competition

• Online course (e.g. RSNA Magician's Corner, MeDA School)

Medical AI Datasets

• Stanford AIMI Shared Datasets

• MIMIC-IV

• MIMIC-CXR

• CheXpert

• TCIA

Algorithms and Codes

• Papers with Code

• 教師提供講義、論文與參考資料

• 重要期刊

  • Lancet Digital Health

  • NEJM AI

  • Radiology: Artificial Intelligence

  • Nature Medicine

  • NPJ Digital Medicine

  • Medical Physics

  • Medical Image Analysis

  • IEEE Transactions on Medical Imaging

  • SIAM Journal on Mathematics of Data Science

  • Scientific Data

• 線上資料庫

  • FDA AI/ML-Enabled Medical Devices

  • PubMed

  • ClinicalTrials

  • Google Scholar

• 書籍

  • "Deep Learning with PyTorch" by Eli Stevens, Luca Antiga, Thomas Viehmann. ISBN: 978-1617295263 (2020). 中文版：PyTorch深度學習攻略, ISBN：9789863126737 (2021).

  • https://theaisummer.com/deep-learning-books-2022/ 

• Blog

  • Transformers in computer vision: ViT architectures, tips, tricks and improvements

Conference

• GTC, March 21-24, 2022 (online)

• MICCAI, Singapore, 2022/9/18-22 (paper reg. 2/15, sub. 3/1)

• RSNA, Chicago, 2022/11/27-12/1, (sub. 2/24-5/4)

Summer School

• International Summer School on Neuroimaging, NeuroScience, Neuroncology. Lipari, Italy. 2022/7/4-9 [XYZ02]

• UCL Medical Image Computing Summer School, UCL, 2022/7/11-15 (virtual)

• Summer school on deep learning for medical imaging, Montréal, 2022/7/4-9

• Surgical Data Science Summer School, Strasbourg, France, 2022/7/18-22

• Annual Multicell Virtual-Tissue Modeling Online Summer School and Hackathon, Indiana University, USA, 2022/7/31-8/7