Search Results - Yigin, Busra Ozgode

  • Showing 1 - 6 results of 6
Refine Results
  1. 1
    Effect of distance measures on confidences of t-SNE embeddings and its implications on clustering for scRNA-seq data

    Effect of distance measures on confidences of t-SNE embeddings and its implications on clustering for scRNA-seq data by Ozgode Yigin, Busra, Saygili, Gorkem

    Published in Scientific reports
    Get full text
    Items that this one cites
    Items that cite this one
    Article
    Save to List
    Saved in:
  2. 2
    Comparison of morphometric parameters in prediction of hydrocephalus using random forests

    Comparison of morphometric parameters in prediction of hydrocephalus using random forests by Ozgode Yigin, Busra, Algin, Oktay, Saygili, Gorkem

    Get full text
    Items that this one cites
    Items that cite this one
    Article
    Save to List
    Saved in:
  3. 3
    Confidence estimation for t-SNE embeddings using random forest

    Confidence estimation for t-SNE embeddings using random forest by Ozgode Yigin, Busra, Saygili, Gorkem

    Get full text
    Items that this one cites
    Items that cite this one
    Article
    Save to List
    Saved in:
  4. 4
    An Overview of Deep Learning Algorithms and Their Applications in Neuropsychiatry

    An Overview of Deep Learning Algorithms and Their Applications in Neuropsychiatry by Guney, Gokhan, Yigin, Busra Ozgode, Guven, Necdet, Alici, Yasemin Hosgoren, Colak, Burcin, Erzin, Gamze, Saygili, Gorkem

    Get full text
    Items that this one cites
    Items that cite this one
    Article
    Save to List
    Saved in:
  5. 5
    An Overview of Deep Learning Algorithms and Their Applications in Neuropsychiatry

    An Overview of Deep Learning Algorithms and Their Applications in Neuropsychiatry by Gokhan Guney, Busra Ozgode Yigin, Necdet Guven, Yasemin Hosgoren Alici, Burcin Colak, Gamze Erzin, Gorkem Saygili

    Get full text
    Article
    Save to List
    Saved in:
  6. 6
    Exploiting lamina terminalis appearance and motion in prediction of hydrocephalus using convolutional LSTM network

    Exploiting lamina terminalis appearance and motion in prediction of hydrocephalus using convolutional LSTM network by Saygılı, Görkem, Yigin, Büşra Özgöde, Güney, Gökhan, Algın, Oktay

    Get full text
    Items that this one cites
    Items that cite this one
    Article
    Save to List
    Saved in:

Search Tools: