NephroNet: a calibration-aware, patient-disjoint benchmark for multiclass kidney CT classification with a compact depthwise-separable CNN - Top-Institutions - MDSpire

NephroNet: a calibration-aware, patient-disjoint benchmark for multiclass kidney CT classification with a compact depthwise-separable CNN

  • By

  • Yuxuan Dong

  • Masrufa Akter Muni

  • Rakibul Islam

  • Saima Tasnim

  • Sanjida Shahid Juthi

  • Md Jahirul Islam

  • Md AL Fassi

  • Md Sharif Robbani

  • Sufia Zareen

  • Yu Chen Hiu Lee

  • June 23, 2026

  • 0 min

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Top Institutions in Radiology

Brief introduction explaining scope and methodology.

  • #1

    Islam
    Islam

    Islamabad, Islamabad Capital Territory

    Key Differentiators

    • Nephrology

  • #2

    Dhaka
    Dhaka

    Dhaka, Dhaka

    Key Differentiators

    • Nephrology

  • #3

    University Medical Center Goettingen
    University Medical Center Goettingen

    Goettingen, Lower Saxony

    Key Differentiators

    • Urology

  • #4

    Saarland University
    Saarland University

    Saarbrücken, Saarland

    Key Differentiators

    • Urology
    • Pediatric Urology

  • #5

    Cincinnati Children’s Hospital Medical Center
    Cincinnati Children’s Hospital Medical Center

    Cincinnati, Ohio

    Key Differentiators

    • Pediatrics

Original Source(s)

NephroNet: a calibration-aware, patient-disjoint benchmark for multiclass kidney CT classification with a compact depthwise-separable CNN

  • by Yuxuan Dong, Masrufa Akter Muni, Rakibul Islam, Saima Tasnim, Sanjida Shahid Juthi, Md Jahirul Islam, Md AL Fassi, Md Sharif Robbani, Sufia Zareen, Yu Chen Hiu Lee

  • June 23, 2026

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