Principles of fMRI Part 1, Module 2: Analysis of fMRI Data

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  • เผยแพร่เมื่อ 23 ต.ค. 2024

ความคิดเห็น • 15

  • @tsuyogbasnet
    @tsuyogbasnet 4 ปีที่แล้ว +6

    I am computer science student and doing research towards automatic medical image segmentation. I had hard time understanding fMRI data. finally i found this, this will make my days easier. I wonder, is there anything that i can cite this as reference to my study. Great job, thank you so much team. :)

  • @soroushbagheri1831
    @soroushbagheri1831 2 ปีที่แล้ว +1

    Very helpful thank you very much

  • @phoenixgoldberg9046
    @phoenixgoldberg9046 8 ปีที่แล้ว +1

    I'm studying for my finals rite now and I found this video very helpful ! Pitty that so few people watched it until now - you did great work. Thank you !! :)

  • @TirajAdikari
    @TirajAdikari 8 ปีที่แล้ว +2

    Thank you for this video series. Very simple and easy to understand for a person who is not in the same field of science. Helped me to get the domain knowledge required for setting up a fMRI analysis lab. :)

  • @Chambrez-wd3sz
    @Chambrez-wd3sz ปีที่แล้ว

    thank you so much for these videos!

  • @f.m.a7184
    @f.m.a7184 3 ปีที่แล้ว +1

    it’s very helpful , Thank you 🙏🏻

  • @visheshsinha_
    @visheshsinha_ 4 ปีที่แล้ว +1

    Thank You for this.
    Helped a lot :-)

  • @wolfen740
    @wolfen740 8 ปีที่แล้ว +1

    This is soooo good!!

  • @Lexi-ps7wy
    @Lexi-ps7wy 7 ปีที่แล้ว +1

    Thank you very much! That was so helpful :)

  • @cynthiaflorencio3498
    @cynthiaflorencio3498 3 ปีที่แล้ว

    What is "noise"?? Sorry for the dumb question, i'm a first year med student

    • @cynthiaflorencio3498
      @cynthiaflorencio3498 3 ปีที่แล้ว

      Time stamp: 7:50

    • @giorgiacaspani8273
      @giorgiacaspani8273 2 ปีที่แล้ว +1

      Noise refers to random variability in the data that "hides" the signal of interest.

  • @moslemasgarihassanluie
    @moslemasgarihassanluie ปีที่แล้ว

    Useless 👎🏻 I saw this course on coursera. They just talk and talk !!! without practical analysis on real fmri data.