March 29th 12:00 PM - 1:00 PM: Newborn Medicine Grand Rounds | Ryan Callahan, M.D.
Pediatric Pulmonary Vein Stenosis: Time is Veins, Zoom Details, Password: 605612
March 30th 4:30 PM - 6:00 PM: Lecture: Lighting the Way So Other Will Follow, Zoom Details, Webinar ID: 969 3474 5581
March 31st 10:00 AM - 11:00 AM: FNNDSC Lecture Series | Adrian Vasile Dalca, PhD
April 16th 1:00 PM - 2:00 PM: Final Student Internship Presentations | Assia Chericoni, Roberto Billardello, Giulia Iandolo
April 30th 10:00 AM - 11:00 AM: Final Student Internship Presentation | Jennings Zhang
Various Dates: Newborn Brain Society - Fetal Neurology Webinar Series
Welcome New Employees to the FNNDSC!
MRI Data Analysis Team
Hyun Ju Lee, MD, PHD is a Visiting Professor at the FNNDSC. She is on sabbatical as the Associate Professor, Division of Neonatology, Department of Pediatrics, College of Medicine, Hanyang University, Korea.
Joo Young Lee is a visiting Graduate Student Intern at the FNNDSC coming from the Graduate School of Biomedical Science & Engineering, Hanyang University, Korea.
Hyun Ju Lee and Joo Young Lee will be working directly under Drs. Kiho Im and HyukJin Yun and will be involved in their fetal MRI project including fetal brain cortex and age analysis in brain disorders.
Amy DeAngelo is a Student Intern working under Dr. Banu Ahtam at the FNNDSC. She is an undergraduate student at Boston University studying Human Physiology.
Julianna Standish is a Student Intern working under Dr. Banu Ahtam at the FNNDSC. She is an undergraduate student at Middlesex Community College studying Psychology.
Christina Lildharrie is a Student Intern starting today under Dr. Banu Ahtam at the FNNDSC. She is an undergraduate student at Drexel University studying Neuroscience Policy.
Amy DeAngelo, Julianna Standish, and Christina Lildharrie will be trained on and help with MRI and MEG/EEG data collection, data analysis, literature review, scientific presentations and writing.
Last Week's FNNDSC Project Updates
This week the NIRS team enrolled two subjects into the PBI study and performed continuous monitoring over the cooling stage into rewarming. These are the first new subjects in this study in over a year! The NIRS Team also enrolled their 100th subject into the IVH study, and saw one of the neurosurgery kiddos for pre and post op measurements. All in all it was another exciting and busy week for the team!
The Clinical MEG Team has created and published their BCH external website which can be found here:
Landmark Department Move
Our departmental move date has been scheduled for Monday, May 10th!
Below is our move schedule:
Monday May 10th
-ISD disconnect computers and phones 2:00 PM
-Movers move boxes 3:00 PM
Tuesday May 11th
-ISD reconnects computers and phones 8:00 AM
As you come in to pack the content of your desk, please send Gauravi the name of the linux computer you primarily use.
It is recommended to purge papers and other items you do not plan to bring with you in the move.
If your group needs to move file cabinets, make sure all drawers are emptied except the bottom two drawers.
Please make sure to tell Gauravi if you have file cabinets that need to be moved, unless you have already.
Move labels should contain your First and Last Name, Department name (Newborn Medicine, FNNDSC), and new Desk #/Office #.
Desk trash receptacles and personal printers should also be labeled to be brought to your new desk/office location.
Computers, monitors, keyboard bags, boxes and other supplies that cannot fit into a box and need to be moved should be labeled.
Congratulations to Dr. Eleonora Tamilia on her first author publication in Annals of Neurology, titled, "Noninvasive Mapping of Ripple Onset Predicts Outcome in Epilepsy Surgery".
Read more here: https://onlinelibrary.wiley.com/doi/full/10.1002/ana.26066.
FNNDSC Lecture Series This Week
Date/Time: March 31st 10:00 AM - 11:00 AM
Speaker: Adrian Vasile Dalca, PhD
Title: Unsupervised Learning of Image Correspondences in Neuroimage Analysis
Abstract: Image alignment, or registration, is fundamental to many tasks in neuroimage analysis. Classical image registration methods have undergone decades of technical development, but are often prohibitively slow since they solve an optimization problem for each 3D image pair. In this talk, he will introduce new models that leverage learning paradigms to enable deformable medical image registration more accurately and substantially faster than traditional methods. Based on these models he introduces a new learning framework for building deformable templates, which play a fundamental role in these analyses. This learning approach to template construction can yield a new class of on-demand conditional templates, enabling new analysis. Dr. Dalca will close with some recent (ongoing) results, such as modality-invariant learning-based registration methods that work on unseen test-time contrasts.
Biography: Adrian V. Dalca is Assistant Professor at Harvard Medical School, and research scientist at the Massachusetts Institute of Technology. He obtained his PhD from CSAIL, MIT, and his research focuses on probabilistic models and machine learning techniques to capture relationships between medical images, clinical diagnoses, and other complex medical data. His work spans medical image analysis, computer vision, machine learning and computational biology. He received his BS and MS in Computer Science from the University of Toronto.
Zoom meeting information:
Join from your computer or mobile device: https://bostonchildrens.zoom.us/j/96040562728?pwd=ekFybHJ4NElyelo5NTRGbklWUTJwdz09
Or dial in from your telephone:
Externally: 646-558-8656 (Primary)
408-638-0968 (If you are unable to dial into the primary number)
Telephone password: 277515
Or iPhone one-tap:
+16465588656,,96040562728# or +14086380968,,96040562728#
EWS link: https://zoom.us/wc/96040562728/join
Meeting ID: 960 4056 2728
On-site Administrative Support This Week
Gauravi will be onsite this week on Monday, March 29th.
Lights in the Necklace
The Emerald Necklace Conservatory will be hosting Lights in the Necklace through March 31. The Boylston Street, Chapel Street and Bridle Path, Leverett Pond, Liff Park, Longwood Avenue and Ellicott Arch Bridges will be illuminated with an emerald green glow from dusk to 9 p.m. every evening. Boston Children’s patients, families and staff are all invited to take an evening stroll and check out this local attraction! Click here for more information.