MIDRC at RSNA 2021.

Last updated December 6, 2021

Saturday November 27th

MIDRC-COVID related presentations

Non-COVID

Maryellen Giger, 1:00 PM - 5:00 PM CST, NIH Grantsmanship Workshop, Session ID: SAT01

Sunday November 28

MIDRC-COVID related presentations

 

Non-COVID

Jayashree Kalpathy-Cramer, Deep Learning Lab: MedNIST Exam Classification with MONAI, Session ID: DLL11, Learning Center, 10:30 AM - 11:30 AM CST

Monday November 29

MIDRC-COVID related presentations

  • John Mongan, Best Practices in Radiology: Clinical Decision Support Rollout, 8:00 am, M1-CIN05

  • Pierre Joseph Marcel Chambon, Automated De-identification Pipeline For Radiology Reports Combining Transformer And “Hide In Plain Sight” Rule-based Model., 9:30 am. Session ID: SSIN02

  • Jordan Fuhrman, et al., Validation of Deep Transfer Learning On CT Scans For Informing Steroid Treatment of 864 COVID-19 Patients. Physics (AI Applications in CT). 1:30 pm, Session ID: SSPH05, E351

Non-COVID 

  • Jayashree Kalpathy-Cramer, Collaborative Learning Approaches For Privacy Preserving Deep Learning Using Multi-institutional Data, Informatics Education Exhibits, Learning Center

  • Jayashree Kalpathy-Cramer, 11:00 AM - 12:00 PM CST, The AI Revolution: Recent Advancements in Computer Vision and Natural Language Processing in Medical Imaging, Session ID: M3-CIN08

  • Judy Wawira Gichoya, 1:30 PM - 2:30 PM CST, Artificial Intelligence and Machine Learning in Oncologic Imaging, Session ID: M4-CMS08, E450A

  • Etta D. Pisano, 1:30 PM - 2:30 PM CST, Health Policy Agenda: Are Radiologists at the Table?, Session ID: M4-CNPM06, S403B

  • Curtis P. Langlotz,; Adam E. Flanders, 4:00 PM - 5:00 PM CST, RSNA AI Challenge: Brain Tumor AI Challenge Recognition Event, Session ID: IM12-AI112, AI Showcase, South Hall, Level 3

  • Maryellen L. Giger, 5:00 PM - 6:00 PM CST, AI in Breast Imaging, Session ID: M6-CBR04, E450A

Tuesday November 30

MIDRC-COVID related presentations

  •  John Mongan, et al. When Machines Fail, 9:00 am Session ID: T1-CIN11

Non-COVID 

  • Judy Wawira Gichoya, 8:00 AM - 9:00 AM CST, When Machines Fail, Session ID: T1-CIN11, Pearls and Pitfalls, E450B

  • Andrey Fedorov, 11:00 AM - 12:00 PM CST, Deep Learning Lab: Working with Public Datasets: TCIA & IDC, Session ID: DLL31, Learning Center

  • Jayashree Kalpathy-Cramer, 4:00 PM - 5:00 PM CST, Current State of AI in Radiology: A Fireside Chat, Session ID: IT12-AI112, AI Showcase, South Hall, Level 3

  • Natalie Baughan et al., Parenchymal Field-Effect Analysis For Breast Cancer Risk Assessment: Evaluation Of FFDM Similarity Using Deep Learning Features, Session ID: BR03-B7, Breast Tuesday Poster Discussions, 12:45 PM - 1:15 PM CST

Wednesday December 1 

MIDRC-COVID related presentations

  • Elise Katsnelson, Beatrice Katsnelson, et al. A Novel Deep Learning Pipeline for Simultaneous Segmentation of Lung and COVID-19 Involvement in Thoracic CT Scans. Digital Poster Session. 12:15 pm

  • Matthew Lungren, Mars Huang, Deep Learning Lab: Multimodal Fusion for Pulmonary Embolism Detection Using CTs and Patient EMR, 1:30 pm

  • Maryellen L. Giger; Adam E. Flanders, Judy Wawira Gichoya, John Mongan, Tessa Cook, 1:30 PM - 2:30 PM CST, Medical Imaging and Data Resource Center: A Multi-Society Approach to Advance Research on COVID-19 and Other Diseases, Session ID: W4-CIN19, S406B

  • Adam Flanders, Mike Tilkin, Paul Kinahan, Maryellen Giger, Curt Langlotz. NIBIB’s Medical Imaging and Data Resource Center, 3:45 PM - 4:45 PM CST

    NIBIB’s Medical Imaging and Data Resource Center (MIDRC), AI Showcase, South Hall, Level 3

Non-COVID

  • Curtis P. Langlotz, 8:00 AM - 9:00 AM CST, AI Governance, Session ID: W1-CIN15, S406B

  • Andrey Fedorov, 11:00 AM - 12:00 PM CST, Deep Learning Lab: Working with Public Datasets: TCIA & IDC,, Session ID: DLL42, Learning Center

  • Ayis T. Pyrros, MD; Ignacio Soriano, MD; Akhil Dhamija; Andrew Sher, MD; Jonathan Hero Chung, MD  Informatics (Quality and Workflow - Harnessing AI), 9:30 am Session ID: SSIN06

  • Adam E. Flanders, 3:00 PM - 4:00 PM CST, Neuroradiology Reporting Do's and Don'ts, Session ID: W5-CNR08, S401

  • Karen Drukker, Liam Fischer, Avielle Siegel, Li Lan, Narayan Sundaram, Maryellen Giger, Texture Analysis And Deep Learning In The Diagnosis Of Hip Fractures In The Emergency Room Setting' 3:00 pm session; Session ID: SSPH12, N227B

  • Nicholas Benjamin Bevins, 5:00 PM - 6:00 PM CST, Data Curation for AI with Proper Medical Imaging Physics Context, Session ID: W6-CPH10, E353C

Thursday December 2

MIDRC-COVID related presentations

  

Non-COVID

  • Akshay Chaudhari, Keynote in the "Science Session with Keynote: Informatics (Radiology AI Potpourri)" 9:30am, Session ID: SSIN08, S405

  • Curt Langlotz, AI and Imaging Quality/Safety, 3:00 PM, Session ID: R5-CNPM23, E450A