Ken Chang

@ChangKenOne

MD-PhD student . machine learning + medical imaging.

Vrijeme pridruživanja: siječanj 2014.

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  1. proslijedio/la je Tweet
    prije 2 sata

    Part of the difficulty of ML in healthcare is getting computer science people and medicine people to speak the same language to learn from each other. Distribution shift is spectrum bias Precision is positive predictive value Recall is sensitivity Test set is external validation

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  2. proslijedio/la je Tweet
    4. velj
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  3. proslijedio/la je Tweet
    4. velj

    Great opportunity if you're interested in radiology ML.

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  4. proslijedio/la je Tweet
    3. velj

    New paper on online at Nature (spoiler: it appears to have evolved from a very closely related bat coronavirus, not from the lab of Dr. Evil, and enters human cells using the same receptor as 2003 SARS).

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  5. proslijedio/la je Tweet
    3. velj

    Same thing on plane from LGA to Logan last night. Elderly woman loudly & repeatedly asks the young Asian woman in next row if she 'really' is ok, upset b/c 'you weren't covering up your sneezes properly'. No accent reply: 'have a cold ma'am, just like everybody else'

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  6. proslijedio/la je Tweet
    1. velj

    On a train in Italy. A teenage Chinese boy boards the train. A woman comments loudly: “There you go, we are all going to be infected.” He replies in perfect Italian with a Roman inflection: “Ma’am, in my whole life I’ve seen China only on google maps.” Applauses.

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  7. proslijedio/la je Tweet
    2. velj

    Our assistive system for has received breakthrough status by . Love working with an extraordinary team: , , , , , Deniz Erdogmus, Stratis Ioannidis, and .

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  8. proslijedio/la je Tweet
    5. pro 2019.
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  9. proslijedio/la je Tweet
    29. sij

    So excited to finally share our work on bio-inspired design of a bio-hybrid heart using cardiac DT-MRI in ⁦⁩ ! Congrats to Ellen Roche ⁦⁩ and her team! ⁦⁩ ⁦⁩ ⁦⁦

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  10. proslijedio/la je Tweet
    31. sij
    Odgovor korisniku/ci

    Just checked their results. The similarity is spurious. Out of 4 inserts they identify between NCov and SARS, 2 are found in bat coronavirus. Of the remaining two, only one is most similar to HIV, and is so short (6 AA) that the similarity is not higher than chance given database

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  11. proslijedio/la je Tweet
    1. velj

    The mere claim that such short inserts support nCoV origins "unlikely to be fortuitous in nature" [sic] is already highly suspect. This is a classic case of searching for lost keys only under a lamppost. A fearful world does not need to fuel conspiracy theories with bad analyses.

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  12. proslijedio/la je Tweet
    29. sij

    Posted without comment

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  13. proslijedio/la je Tweet
    30. sij
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  14. proslijedio/la je Tweet
    30. sij

    The Center's Jayashree Kalpathy-Cramer and team played an integral role in the development of the technology.

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  15. proslijedio/la je Tweet
    28. sij
    Odgovor korisnicima

    We hate this too - this is why our new will just require you to enter your arXiv paper link and you’re done! No OA charges or any other red tape (apart from a very modest $10 submission fee)

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  16. proslijedio/la je Tweet
    29. sij

    fastMRI: A Publicly Available k-Space and DICOM Dataset of Knee MRI Images for Accelerated Image Reconstruction Using .

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  17. proslijedio/la je Tweet
    29. sij

    Say hello to TCIA's new site design! We've given our branding a face-lift and have re-organized some of the key components of the site to make things easier to find. Stop by to give it a try!

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  18. proslijedio/la je Tweet
    29. sij

    "How do I find regulatory genomic variants for in pancreatic islet tissue?" Like this: and by and colleagues (yet another fine contribution in this filed)

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  19. proslijedio/la je Tweet
    28. sij

    Journal: Ready to submit your manuscript? Me: Yup! (cracking my knuckles) Journal: Do you have all these ready? 1. Your login details 2. Your ORCID ID 3. Manuscript 4. Each image as separate file 5. Cover letter 6. COI for each author 7. Author signatures for all

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  20. proslijedio/la je Tweet
    28. sij

    A photo is a mathematical representation of your face.

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