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Michael Gorin, M.D.

michaelagorin

  •  United States of America
  •  Univeristy of Pittsburgh
  •  Urology
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  • Member for 3 years, 4 months
  • 161 algorithms run

Activity Overview

kits21 Logo
KiTS21
Challenge User

The 2021 MICCAI Kidney and Kidney Tumor Segmentation challenge

FLARE Logo
FLARE21
Challenge User

Fast and Low GPU memory Abdominal oRgan sEgmentation Challenge

Automatic segmentation of kidney, tumor and cysts Logo
Automatic segmentation of kidney, tumor and cysts
Algorithm User

KiTS19-Based Automatic RENAL Scoring Logo
KiTS19-Based Automatic RENAL Scoring
Algorithm User

An algorithm to compute the RENAL score based on segmented CT imaging following the KiTS19 class definitions

Clinically Significant Prostate Cancer Detection in bpMRI using models trained with Report Guided Annotations Logo
Clinically Significant Prostate Cancer Detection in bpMRI using models trained with Report Guided Annotations
Algorithm User

Prostate Segmentation Logo
Prostate Segmentation
Algorithm User

Whole-Gland Prostate Segmentation in bpMRI

PI-CAI: Baseline U-Net (supervised) Logo
PI-CAI: Baseline U-Net (supervised)
Algorithm User

PI-CAI: Baseline nnU-Net (supervised) Logo
PI-CAI: Baseline nnU-Net (supervised)
Algorithm User

Baseline algorithm submission for PI-CAI based on the nnU-Net framework

PI-CAI: Baseline nnDetection (supervised) Logo
PI-CAI: Baseline nnDetection (supervised)
Algorithm User

Baseline algorithm submission for PI-CAI based on the nnDetection framework

PI-CAI: Baseline nnU-Net (semi-supervised) Logo
PI-CAI: Baseline nnU-Net (semi-supervised)
Algorithm User

Baseline semi-supervised algorithm submission for PI-CAI based on the nnU-Net framework

PI-CAI: Baseline U-Net (semi-supervised) Logo
PI-CAI: Baseline U-Net (semi-supervised)
Algorithm User

PI-CAI: Baseline nnDetection (semi-supervised) Logo
PI-CAI: Baseline nnDetection (semi-supervised)
Algorithm User

Baseline semi-supervised algorithm submission for PI-CAI based on the nnDetection framework

Swangeese (H. Kan, et al.; China) algorithm trained on PI-CAI: Private and Public Training Dataset Logo
Swangeese (H. Kan, et al.; China) algorithm trained on PI-CAI: Private and Public Training Dataset
Algorithm User

DataScientX (N. Debs, A. Routier, et al.; France) algorithm trained on PI-CAI: Private and Public Training Dataset Logo
DataScientX (N. Debs, A. Routier, et al.; France) algorithm trained on PI-CAI: Private and Public Training Dataset
Algorithm User