Molecular Imaging & Therapy
Molecular Imaging & Therapy
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Explainable AI (XAI) Techniques Towards Clinical Adoption in Medical Imaging
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
มุมมอง: 322

วีดีโอ

Beyond the Lab: Opportunities and Skills for a Successful Career
มุมมอง 1992 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 6253 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 1655 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 7405 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 4307 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 5468 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 63411 หลายเดือนก่อน
Predictive Oncology Through Image-Based Mathematical Modeling
A Guide to Cross-Validation for AI (with Dr. Tyler Bradshaw)
มุมมอง 436ปีที่แล้ว
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 672ปีที่แล้ว
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 936ปีที่แล้ว
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 670ปีที่แล้ว
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...
Nuclear Medicine Physics: A Review
มุมมอง 8Kปีที่แล้ว
4.5 hours of Essential Nuclear Medicine (see chapter breakdowns below). Target Audience: Residents, Fellows, Undergraduate & Graduate Students, Technologists 0:00 Introduction 3:15 What is Nuclear Medicine? 21:13 Nuclear Medicine Imaging 25:23 Gamma Camera 47:39 Energy Spectra in Scintillation Detectors 1:03:07 Collimators 1:27:51 Quality Assurance 1:44:00 Introduction to Tomography 1:52:53 Ima...
Dosimetry-Based Radiopharmaceutical Therapy (With Dr. Jean-Matheiu Beauregard) - why and how
มุมมอง 1.2K2 ปีที่แล้ว
Dosimetry-Based Radiopharmaceutical Therapy is important, and can be done. Moving beyond empiric, one-size-fits-all therapies. Understanding uncertainty and variability in absorbed doses without/with dosimetry. Dose-response relationships. Single-time-point dosimetry.
Multitracer PET Imaging (With Dr. Dan Kadrmas) - Why and How + Applications
มุมมอง 9722 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 8182 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 8812 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 4942 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 2.3K2 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 6742 ปีที่แล้ว
Internal Dosimetry: Radiopharmaceutical Therapies (Part 4) [L48]
Internal Dosimetry: Dose & Biological Considerations (Part 3) [L47]
มุมมอง 6422 ปีที่แล้ว
Internal Dosimetry: Dose & Biological Considerations (Part 3) [L47]
Internal Dosimetry: Quantitative Imaging (Iterative Image Reconstruction) (Part 2) [L46]
มุมมอง 7762 ปีที่แล้ว
Internal Dosimetry: Quantitative Imaging (Iterative Image Reconstruction) (Part 2) [L46]
Introduction to Kinetic Modeling (Part 2) [L40]
มุมมอง 1.6K2 ปีที่แล้ว
Introduction to Kinetic Modeling (Part 2) [L40]
Introduction To Kinetic Modeling (Part 1) [L39]
มุมมอง 3.2K2 ปีที่แล้ว
Introduction To Kinetic Modeling (Part 1) [L39]
What is the Standard Uptake Value (SUV) in PET and SPECT Imaging? [L38]
มุมมอง 10K2 ปีที่แล้ว
What is the Standard Uptake Value (SUV) in PET and SPECT Imaging? [L38]

ความคิดเห็น

  • @YaofuZhou
    @YaofuZhou 15 วันที่ผ่านมา

    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.

  • @softman-z7c
    @softman-z7c หลายเดือนก่อน

    nice videos are you open to new ideas ,,,,,

  • @alessandroramos5194
    @alessandroramos5194 หลายเดือนก่อน

    Perfect!

  • @ParhamGeramifar
    @ParhamGeramifar 2 หลายเดือนก่อน

    Thank you for sharing this valuable information!

  • @eng.Mimi.123
    @eng.Mimi.123 2 หลายเดือนก่อน

    thank you very much! Very informative !

  • @ParhamGeramifar
    @ParhamGeramifar 2 หลายเดือนก่อน

    Very fruitful, Thank you!

  • @SaeedEsmaeilian
    @SaeedEsmaeilian 2 หลายเดือนก่อน

    Many thanks for this.

  • @medical_physics
    @medical_physics 2 หลายเดือนก่อน

    please i want book talk about osem MLEM PLEASE

  • @MalakSh-b8w
    @MalakSh-b8w 2 หลายเดือนก่อน

    شكرا 😊

  • @FatimaAlsayigh
    @FatimaAlsayigh 2 หลายเดือนก่อน

    how to do this using matlab to get image

  • @kendonshirley6697
    @kendonshirley6697 3 หลายเดือนก่อน

    Really great presentation, and very nice research. Well done!

  • @AndrewChicco
    @AndrewChicco 3 หลายเดือนก่อน

    Thank you very much for this presentation. It's provided some very useful referneces to help extend my knowledge in this area.

  • @deepikakumari-df2nx
    @deepikakumari-df2nx 4 หลายเดือนก่อน

    Love from india

  • @NuclearLabRat
    @NuclearLabRat 4 หลายเดือนก่อน

    This is fascinating.

  • @055shubhamsonkar6
    @055shubhamsonkar6 4 หลายเดือนก่อน

    Hi , can you please share the ppts . Thanks!

  • @MsKa60
    @MsKa60 5 หลายเดือนก่อน

    So very helpful, I’m on week three of the NMT program and already committed to watch all your videos 🎉🎉🎉!

  • @saifimansoori7225
    @saifimansoori7225 5 หลายเดือนก่อน

    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😊😊❤️❤️

  • @omidgharibi4354
    @omidgharibi4354 5 หลายเดือนก่อน

    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.

  • @bernardkiprotich2365
    @bernardkiprotich2365 5 หลายเดือนก่อน

    Great presentation... Thanks 🙏

  • @eng.Mimi.123
    @eng.Mimi.123 5 หลายเดือนก่อน

    Thank you all so much ! This has been an incredible series 😊 This helped me allot in starting to dig deeper into my project 🎉

  • @Pandya_715
    @Pandya_715 5 หลายเดือนก่อน

    Nice video ❤...i am nuclear medicine student..very much useful ❤

  • @andgamhi
    @andgamhi 5 หลายเดือนก่อน

    Thanks,very nice

  • @diesbybote
    @diesbybote 5 หลายเดือนก่อน

    ❤very interested

  • @eddymcsandbag5932
    @eddymcsandbag5932 6 หลายเดือนก่อน

    thanks a lot

  • @malikzaheermalikzaheer136
    @malikzaheermalikzaheer136 6 หลายเดือนก่อน

    Please in urdu language 😢

  • @cleavlandmingins1861
    @cleavlandmingins1861 7 หลายเดือนก่อน

    P R O M O S M

  • @AndrewJReader
    @AndrewJReader 7 หลายเดือนก่อน

    Great video Arman (and Tyler), very helpful!

  • @hammerandrake
    @hammerandrake 7 หลายเดือนก่อน

    omg this is hilarious!

  • @hammerandrake
    @hammerandrake 7 หลายเดือนก่อน

    Great videos! Thank you so much for your dedication!!

  • @jonathanlister5644
    @jonathanlister5644 8 หลายเดือนก่อน

    Very clear! It's been 20 years since I was taught this and it was too theory bound.

  • @sohailkohri7269
    @sohailkohri7269 8 หลายเดือนก่อน

    🙌🙌

  • @XdASeviX
    @XdASeviX 8 หลายเดือนก่อน

    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!

    • @molecularimagingtherapy
      @molecularimagingtherapy 8 หลายเดือนก่อน

      Wishing you the very best in your efforts, and thanks for your feedback.

  • @sayanikak
    @sayanikak 8 หลายเดือนก่อน

    please give referancs or evidences for""SUV derived from two seperate studies, is expected to differ by up to +/- 28% for 95% of obeservation.

    • @molecularimagingtherapy
      @molecularimagingtherapy 8 หลายเดือนก่อน

      "Lodge, M.A., 2017. Repeatability of SUV in oncologic 18F-FDG PET. Journal of Nuclear Medicine, 58(4), pp.523-532."

  • @ashburnconnecttv7860
    @ashburnconnecttv7860 9 หลายเดือนก่อน

    The music = #Sucks

  • @youngglxck_4224
    @youngglxck_4224 11 หลายเดือนก่อน

    I dont understand what is c² can somebody pls explain?

    • @stephenber2114
      @stephenber2114 10 หลายเดือนก่อน

      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)

  • @XufuChen
    @XufuChen 11 หลายเดือนก่อน

    Good presentation!

  • @Felix-iw3iq
    @Felix-iw3iq ปีที่แล้ว

    How can you show that photoelectric effect is only possible if the electron is bound to an atom? (3:40) I’m confused😅

    • @omidgharibi4354
      @omidgharibi4354 5 หลายเดือนก่อน

      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.

  • @AndrewChicco
    @AndrewChicco ปีที่แล้ว

    Thank you so much for this presentation. Are you able to suggest a good textbook on Computational Biology?

  • @Timbayar
    @Timbayar ปีที่แล้ว

    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.

  • @vishalnimesh3846
    @vishalnimesh3846 ปีที่แล้ว

    Amazing .thanku for your efforts

  • @milanjana7335
    @milanjana7335 ปีที่แล้ว

    IS DR. Abhinav Jha is INDIAN?

  • @elshaimae6621
    @elshaimae6621 ปีที่แล้ว

    Thank you. I'm working on my master thesis and I needed this detailed explanation ☺

  • @sonwabo2011
    @sonwabo2011 ปีที่แล้ว

    Thank you, gentleman. These lectures are excellent.

  • @miladpeer-firozjaei8971
    @miladpeer-firozjaei8971 ปีที่แล้ว

    😂😂👍

  • @alifeleparanj3688
    @alifeleparanj3688 ปีที่แล้ว

    🤣

  • @LimonaMaria
    @LimonaMaria ปีที่แล้ว

    😂

  • @baljitkaur1210
    @baljitkaur1210 ปีที่แล้ว

    hi have questions about this may you help me please

  • @LouWilliams-o5v
    @LouWilliams-o5v ปีที่แล้ว

    these girls that took these classes were geniuses - way ahead of me like 30 years

  • @LouWilliams-o5v
    @LouWilliams-o5v ปีที่แล้ว

    sounds fancy

  • @mdumar4146
    @mdumar4146 ปีที่แล้ว

    can we get pdf