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Joeran Bosma

joeran.bosma

  •  Netherlands
  •  Radboudumc
  •  DIAG
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Statistics
  • Member for 4 years, 2 months
  • 99 challenge submissions
  • 108 algorithms run

Activity Overview

PROMISE12 Logo
PROMISE12
Challenge Editor

The goal of this challenge is to compare interactive and (semi)-automatic segmentation algorithms for MRI of the prostate.

drive Logo
DRIVE
Challenge User

Develop a system to automatically segment vessels in human retina fundus images.

PROSTATEx Logo
PROSTATEx
Challenge Editor

Classification of clinical significance of prostate lesions using multi-parametric MRI data

PI-CAI Logo
The PI-CAI Challenge
Challenge Editor

Artificial Intelligence and Radiologists at Prostate Cancer Detection in MRI

CoNIC-Challenge Logo
CoNIC 2022
Challenge User

Colon Nuclei Identification and Counting Challenge 2022

K2S Logo
K2S: from undersampled K-space To automatic Segmentation
Challenge User

K2S: from undersampled K-space To automatic Segmentation

Scaphoid fracture detection Logo
Scaphoid fracture detection
Algorithm User

Automatic detection of scaphoid fractures on hand, wrist, and scaphoid x-rays.

Pulmonary Nodule Malignancy Prediction Logo
Pulmonary Nodule Malignancy Prediction
Algorithm User

Deep Learning for Malignancy Risk Estimation of Low-Dose Screening CT Detected Pulmonary Nodules

Clinically Significant Prostate Cancer Detection in bpMRI Logo
Clinically Significant Prostate Cancer Detection in bpMRI
Algorithm User

Deep learning-based 3D detection/diagnosis model trained, validated and tested using 2732 prostate biparametric MRI exams from two centers.

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 Editor

Prostate Segmentation Logo
Prostate Segmentation
Algorithm Editor

Whole-Gland Prostate Segmentation in bpMRI

Pancreatic Ductal Adenocarcinoma Detection in CT Logo
Pancreatic Ductal Adenocarcinoma Detection in CT
Algorithm User

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 Editor

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

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

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 Editor

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

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

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

ITUnet2d Logo
ITUnet2d
Algorithm User

Hevi AI Prostate Zonal Segmentation Logo
Hevi AI Prostate Zonal Segmentation
Algorithm Editor

Zonal prostate segmentation by HeviAI

Prostate zonal segmentation by BDAV_Y Logo
Prostate zonal segmentation by BDAV_Y
Algorithm Editor

Prostate zonal segmentation by BDAV_Y

Prostate segmentation by Guerbet Logo
Prostate segmentation by Guerbet
Algorithm Editor

Prostate segmentation by Guerbet