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Molecular Imaging & Therapy
Canada
เข้าร่วมเมื่อ 20 ต.ค. 2021
Education & Research from the Quantitative Radiomolecular Imaging & Therapy (Qurit) Team at BC Cancer / UBC
www.Qurit.ca
www.Qurit.ca
How to do Academic / Faculty Job Interviews
Sharing my experiences and thoughts as someone on both sides! Ideas on how to prepare. Intended for research tenure-track faculty job interviews, as well as lab interviews (e.g. research staff); some valuable insights for teaching tenure-track faculty and other job interviews. Chapter Breakdowns:
0:00 Introduction & Overview
1:12 Why do job interviews!
3:46 An inside peak to the process!
5:11 Real example of criteria used to evaluate an interviewee
6:35 Don't be shy to ask questions about steps involved
7:23 Think of your CV as a work of art
8:15 Prepare for your individual interviewers
10:07 Don't make your presentation too specific
11:22 How to make powerpoint presentation
14:58 Practice; Practice; Practice!
16:18 Don't sell yourself short!
17:39 Teaching evaluation
19:00 Inclusion skills / EDI (Equity; Diversity; Inclusion) Awareness / Be Authentic
23:00 Service considerations
23:30 Good things happen to good people
25:43 Begin with right intentions
26:53 Don't spend your life waiting for them
27:39 Have trust!
Also see accompanying video:
On Growth, Success and Well-being in Academia
th-cam.com/video/1FY-yOxhfdY/w-d-xo.html
0:00 Introduction & Overview
1:12 Why do job interviews!
3:46 An inside peak to the process!
5:11 Real example of criteria used to evaluate an interviewee
6:35 Don't be shy to ask questions about steps involved
7:23 Think of your CV as a work of art
8:15 Prepare for your individual interviewers
10:07 Don't make your presentation too specific
11:22 How to make powerpoint presentation
14:58 Practice; Practice; Practice!
16:18 Don't sell yourself short!
17:39 Teaching evaluation
19:00 Inclusion skills / EDI (Equity; Diversity; Inclusion) Awareness / Be Authentic
23:00 Service considerations
23:30 Good things happen to good people
25:43 Begin with right intentions
26:53 Don't spend your life waiting for them
27:39 Have trust!
Also see accompanying video:
On Growth, Success and Well-being in Academia
th-cam.com/video/1FY-yOxhfdY/w-d-xo.html
มุมมอง: 298
วีดีโอ
How To Segment in 3D Using 2D Models: Using PET Image Multi-Angle MIPs & Diffusion Models
มุมมอง 15928 วันที่ผ่านมา
Talk by Dr. Amirhosein Toosi to 2024 MICCAI Workshop on Deep Generative Models (DGM) Full title: "How To Segment in 3D Using 2D Models: Automated 3D Segmentation of Prostate Cancer Metastatic Lesions on PET Volumes Using Multi-Angle Maximum Intensity Projections and Diffusion Models" Conference Paper: link.springer.com/chapter/10.1007/978-3-031-72744-3_21 arXiv: arxiv.org/abs/2407.18555
Explainable AI (XAI) Techniques Towards Clinical Adoption in Medical Imaging
มุมมอง 3593 หลายเดือนก่อน
Invited Speaker: Dr. Nicolas Karakatsanis; Assistant Professor of Biomedical Engineering, Weill Cornell Medical College. Chapter Breakdowns: 0:00 Introduction 9:50 Taxonomy of XAI Methods 11:42 Post-hoc XAI Methods 42:04 Ad-hoc XAI Methods 51:25 Disease-specific XAI 52:09 Co-12 Categorization Scheme
Beyond the Lab: Opportunities and Skills for a Successful Career
มุมมอง 2223 หลายเดือนก่อน
Invited Speaker: Dr. Saeed Ashrafinia; Clinical and R&D Collaboration Manager at Siemens Healthineers There are many career opportunities beyond grad school or post-doc in the lab; e.g. academia, clinic (healthcare), industry. Dr. Ashrafinia takes us on a journey of discussing different aspects of these possibilities. Chapter Breakdowns: 0:00 Introduction 1:36 Eight Post-Graduate Pathways!! 6:3...
From Pretty to Useful: A Story in Using AI to Denoise Medical Images
มุมมอง 6604 หลายเดือนก่อน
Invited Speaker Dr. Abhinav Jha; Associate Professor, Department of Biomedical Engineering & Mallinckrodt Institute of Radiology; Washington University in St. Louis On the mission to go from Pretty to Useful AI in Medical Imaging! Is every AI model useful? If not, what can we do about it? A thought-provoking journey. And here are two previous talks by Abhinav on "Task-Based Image Quality Assess...
Personalized Cancer Treatment: Integrating Digital Twins & Quantitative Systems Pharmacology
มุมมอง 1816 หลายเดือนก่อน
Invited Speaker Dr. Leili Shahriyari (May 7, 2024); Associate Professor, Department of Mathematics and Statistics UMass Cancer Center Institute for Applied Life Sciences (IALS) University of Massachusetts Amherst
Why are dose constraints from EBRT not directly transferable to radiopharmaceutical therapy (RPT)?
มุมมอง 7676 หลายเดือนก่อน
Invited Speaker Dr. Tahir Yusufaly (April 23, 2024); Faculty Member at Johns Hopkins University Department of Radiology. Chapter breakdowns: 0:00 Introduction 1:30 Dose distribution in RPT vs. External Beam Radiotherapy (EBRT) 8:42 Brief overview of EBRT radiobiology 27:06 Efforts towards a more universal Biologically Effective Dose (BED) 39:24 Efforts towards a more universal normal tissue com...
We're (not) fine: Lack of fairness in AI-based medical image diagnostic tools (Dr. Seyyed-Kalantari)
มุมมอง 4628 หลายเดือนก่อน
Invited Speaker Dr. Laleh Seyyed-Kalantari (Feb 22, 2024) Dr. Laleh Seyyed-Kalantari is Assistant Professor of Electrical Engineering and Computer Science, at Lassonde School of Engineering, York University. Before that, she was an Associate Scientist at Lunenfeld Tanenbaum Research Institute, Toronto, Canada. With a Ph.D. in electrical engineering from McMaster University (2017), she was an NS...
Noise-Bias & Contrast-Noise Analysis in Medical Imaging
มุมมอง 5719 หลายเดือนก่อน
What's Noise in imaging? What's Bias? What's Mean Squared Error (MSE), and how does it relate to noise and bias? What are Noise vs. Bias Trade-off Curves? What's Contrast? What's Contrast-to-Noise Ratio (CNR)? What's the Rose criterion? What's the Contrast Recovery Coefficient (CRC)? How do these metrics relate to each other and different image reconstruction & generation methods? 0:00 Introduc...
Predictive Oncology Through Image-Based Mathematical Modeling (with Dr. Tom Yankeelov)
มุมมอง 662ปีที่แล้ว
Predictive Oncology Through Image-Based Mathematical Modeling
A Guide to Cross-Validation for AI (with Dr. Tyler Bradshaw)
มุมมอง 447ปีที่แล้ว
Chapter breakdowns: 0:00 Introduction 3:09 Overfitting vs. generalizability 6:24 Pitfalls of using one-time split method 6:44 Pitfall #1: Non-representative test set 11:24 Pitfall #2: Tuning to the test set 19:12 Cross-validation 20:10 Important note: in CV we are testing pipeline, not a single model 22:25 K-fold, folded test set 27:30 K-fold, hold-out test-set 32:56 Nested cross-validation 41:...
Apples or Kiwis? Is 23Gy kidney absorbed-dose limit the way to go for radiopharmaceutical therapies?
มุมมอง 691ปีที่แล้ว
Clinical trials for radiopharmaceutical therapies (RPTs) are usually limited to 23 Gray absorbed dose to kidneys. However, this value seems arbitrary when considering its source: a publication for external radiation beam therapy (EBRT) dating back to 1991, itself referring to a paper in 1968. The existing limit in fact neglects inherent differences between RPT and EBRT. In this episode, Nuclear...
Why Take & How to Prepare for the American Board of Science in Nuclear Medicine (ABSNM) Exam
มุมมอง 959ปีที่แล้ว
Dec 27, 2022; In this video I share information, thoughts, experiences and recommendation for taking the ABSNM board exam Additional content referred to in the video: Our Nuclear Medicine Physics Lecture Series Playlist: th-cam.com/play/PL0FpKQ-EgTObAsB7r1bGbdBdOkt5f1W-z.html Condensed Nuclear Medicine Physics Review talk (4.5 hours): th-cam.com/video/HEWno48iV_U/w-d-xo.html Book Erratum/Correc...
Total-Body PET Kinetic Modeling and Its Applications (with Dr. Guobao Wang)
มุมมอง 1.2Kปีที่แล้ว
What is total-body PET? Why do kinetic modeling? What can they do together? Exciting applications and new horizons.
Towards Digital Twins for Precision Medicine
มุมมอง 6942 ปีที่แล้ว
Digital Twins for Virtual Clinical Trials towards Personalized Healthcare Delivery. Theranostic Digital Twins. Use of Artificial Intelligence. Storage/Sharing/Anonymization. The Future is Bright! Keynote Speech at the 3rd International Workshop on Multiscale Multimodal Medical Imaging (MMMI) at MICCAI 2022 Conference, Dr. Arman Rahmim; Sept 22, 2022 See also: "A Brief History of Digital Phantom...
Dosimetry-Based Radiopharmaceutical Therapy (With Dr. Jean-Matheiu Beauregard) - why and how
มุมมอง 1.2K2 ปีที่แล้ว
Dosimetry-Based Radiopharmaceutical Therapy (With Dr. Jean-Matheiu Beauregard) - why and how
Multitracer PET Imaging (With Dr. Dan Kadrmas) - Why and How + Applications
มุมมอง 9942 ปีที่แล้ว
Multitracer PET Imaging (With Dr. Dan Kadrmas) - Why and How Applications
Myth or Fact? We Cannot Perform Routine Dosimetry For Radiopharmaceutical Therapies
มุมมอง 1.1K2 ปีที่แล้ว
Myth or Fact? We Cannot Perform Routine Dosimetry For Radiopharmaceutical Therapies
Theranostics: the future for prostate cancer treatment is here!!
มุมมอง 2K2 ปีที่แล้ว
Theranostics: the future for prostate cancer treatment is here!!
Simulation Software To Better Understand Nuc Med Imaging [L42] - Invited Speaker Dr. Barry Pointon
มุมมอง 8432 ปีที่แล้ว
Simulation Software To Better Understand Nuc Med Imaging [L42] - Invited Speaker Dr. Barry Pointon
Task Based Image Quality Assessment (Part 1) [L43] - Invited Speaker Dr. Abhinav Jha
มุมมอง 9172 ปีที่แล้ว
Task Based Image Quality Assessment (Part 1) [L43] - Invited Speaker Dr. Abhinav Jha
Task Based Image Quality Assessment (Part 2) [L44] - Invited Speaker Dr. Abhinav Jha
มุมมอง 5042 ปีที่แล้ว
Task Based Image Quality Assessment (Part 2) [L44] - Invited Speaker Dr. Abhinav Jha
Internal Dosimetry: Quantitative Imaging (Part 1) [L45]
มุมมอง 1.1K2 ปีที่แล้ว
Internal Dosimetry: Quantitative Imaging (Part 1) [L45]
Quality Assurance/Control in Nuclear Medicine [L41] - Invited Speaker Dr. Barry Pointon
มุมมอง 2.4K2 ปีที่แล้ว
Quality Assurance/Control in Nuclear Medicine [L41] - Invited Speaker Dr. Barry Pointon
Internal Dosimetry: S-Values & Dose Estimation Techniques (Part 5) [L49]
มุมมอง 2.4K2 ปีที่แล้ว
Internal Dosimetry: S-Values & Dose Estimation Techniques (Part 5) [L49]
Internal Dosimetry: Radiopharmaceutical Therapies (Part 4) [L48]
มุมมอง 7172 ปีที่แล้ว
Internal Dosimetry: Radiopharmaceutical Therapies (Part 4) [L48]
Internal Dosimetry: Dose & Biological Considerations (Part 3) [L47]
มุมมอง 6562 ปีที่แล้ว
Internal Dosimetry: Dose & Biological Considerations (Part 3) [L47]
Internal Dosimetry: Quantitative Imaging (Iterative Image Reconstruction) (Part 2) [L46]
มุมมอง 8002 ปีที่แล้ว
Internal Dosimetry: Quantitative Imaging (Iterative Image Reconstruction) (Part 2) [L46]
Introduction to Kinetic Modeling (Part 2) [L40]
มุมมอง 1.7K2 ปีที่แล้ว
Introduction to Kinetic Modeling (Part 2) [L40]
Thanks a lot for the great course. Would we be able to access the slides for future reference?
Dr. Uribe is a great teacher. He explains complex concepts clearly and makes difficult topics accessible.
So proud of you my dear Amirhosein @lets_code_together <3
💖👍👍🙏🙏🙏
27:58 but woundn't the the beam hardening artifacts be different 180 degrees apart? Edit: okay, you touched on the real-life effects immediately afterwards.
nice videos are you open to new ideas ,,,,,
Perfect!
Thank you for sharing this valuable information!
thank you very much! Very informative !
Very fruitful, Thank you!
Many thanks for this.
please i want book talk about osem MLEM PLEASE
شكرا 😊
how to do this using matlab to get image
Really great presentation, and very nice research. Well done!
Thank you very much for this presentation. It's provided some very useful referneces to help extend my knowledge in this area.
Love from india
This is fascinating.
Hi , can you please share the ppts . Thanks!
So very helpful, I’m on week three of the NMT program and already committed to watch all your videos 🎉🎉🎉!
Aslamualekum Sir U r just doing a fabulous job Mashallah I am from india🇮🇳 I m becoming ur fan Armaan Sir allah bless u U make topic so easy that even a average student get it easily😊😊❤️❤️
Answer to the question (19:35): The half-life for Re-188 is about 17 hours. After 10mins, more than 99% of initial activity still remains. So, we can assume the activity unchanged. Now we can easily multiply the activity by the sensitivity of collimator to obtain the total counts per second of Re-188: Total counts/sec = 10 MBq * 0.9 * 10^-4 = 900. Now we can calculate the number of 155 keV gamma rays counted per second which is 15.6% of the total counts: 900 * 15.6% = 140.4. If we continue counting for 10 mins, we will count a total of 140.4 * 10 * 60 = 84240 gamma rays with 155 keV of energy.
Great presentation... Thanks 🙏
Thank you all so much ! This has been an incredible series 😊 This helped me allot in starting to dig deeper into my project 🎉
Nice video ❤...i am nuclear medicine student..very much useful ❤
Thanks,very nice
❤very interested
thanks a lot
Please in urdu language 😢
P R O M O S M
Great video Arman (and Tyler), very helpful!
omg this is hilarious!
Great videos! Thank you so much for your dedication!!
Very clear! It's been 20 years since I was taught this and it was too theory bound.
🙌🙌
Just discovered your channel. I'm doing my PhD in radiopharmacology and greatly appreciate the breadth and depth of your videos. Thank you so much. Keep up the good work!
Wishing you the very best in your efforts, and thanks for your feedback.
please give referancs or evidences for""SUV derived from two seperate studies, is expected to differ by up to +/- 28% for 95% of obeservation.
"Lodge, M.A., 2017. Repeatability of SUV in oncologic 18F-FDG PET. Journal of Nuclear Medicine, 58(4), pp.523-532."
The music = #Sucks
I dont understand what is c² can somebody pls explain?
from what i understand, c is the constant that represents the speed of light. so for E=mc^2, energy is equal to the mass of an object multiplied by the speed of light squared. in other words if you have a mass of something that is 1kg, then its energy is going to be 1 * the speed of light squared (alot of energy)
Good presentation!
How can you show that photoelectric effect is only possible if the electron is bound to an atom? (3:40) I’m confused😅
A photon cannot give all its energy to an electron if its free. This is because of conservation of energy and momentum and the key point is that the photon wont exist anymore. Assume that the free electron is at rest before collision and the energy of the photon is less than 511 keV not to make a relativistic situation. If the photon gives all its energy to the electron, it wont exist after collision. Therefore, the total energy of the photon must be taken by the electron. => conservation of energy: Eph = 1/2 mv^2. Moreover, the momentum of the system must remain unchanged. => conservation of momentum: Eph/c = mv. By these two equations you will see that mvc = 1/2 mv^2 => v = 2c. We know that it is not possible for a particle to move faster than light. Now we understand why it is impossible to have a photoelectric effect if the electron is free. The same reason governs why in Compton scattering a photon cannot give all its energy to an electron.
Thank you so much for this presentation. Are you able to suggest a good textbook on Computational Biology?
hello, thank you for making this video. But I have a question about the estimation of SUVr. Is the SUVr a literally true equal to 1 in all examples even if a body mass is 1kg, 2kg, or 10kg? I don't think so and these SUVr meaning has to be different from each others.
Amazing .thanku for your efforts
IS DR. Abhinav Jha is INDIAN?
Thank you. I'm working on my master thesis and I needed this detailed explanation ☺
Thank you, gentleman. These lectures are excellent.
😂😂👍
🤣
😂