Your mugshot

Shubham Suresh Patil

shubhamsureshpatil

  •  United States of America
  •  Carnegie Mellon University
  •  School of Computer Science
  •  Website
Statistics
  • Member for 4 years, 1 month

Activity Overview

LUNA16 Logo
LUNA16
Challenge User

The LUNA16 challenge: automatic nodule detection on chest CT

drive Logo
DRIVE
Challenge User

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

KiTS19 Logo
KiTS19
Challenge User

2019 Kidney and Kidney Tumor Segmentation Challenge

BrainPTM-2021 Logo
BrainPTM 2021
Challenge User

Brain Pre-surgical Tractography Mapping (BrainPTM) in real clinical scans.

instance Logo
INSTANCE2022
Challenge User

The 2022 Intracranial Hemorrhage Segmentation Challenge on Non-Contrast head CT (NCCT)

SynthRAD2023 Logo
SynthRAD2023
Challenge User

SynthRAD is the first challenge on automatic generation of synthetic computed tomography (sCT) for radiotherapy

FLARE22 Logo
MICCAI FLARE 2022
Challenge User

MICCAI 2022 Fast and Low-resource semi-supervised Abdominal oRgan sEgmentation (FLARE) Challenge

SurgT Logo
SurgT: Surgical Tracking
Challenge User

This challenge consists of surgical videos with a target bounding box and the participants are expected to develop visual tracking algorithms to estimate the trajectory of the bounding box throughout the video-sequence.

ATM22 Logo
Multi-site, Multi-Domain Airway Tree Modeling (ATM’22)
Challenge User

Airway segmentation is a crucial step for the analysis of pulmonary diseases including asthma, bronchiectasis, and emphysema. The accurate segmentation based on X-Ray computed tomography (CT) enables the quantitative measurements of airway dimensions and wall thickness, which can reveal the abnormality of patients with chronic obstructive pulmonary disease (COPD). Besides, the extraction of patient-specific airway models from CT images is required for navigatiisted surgery.

isles22 Logo
Ischemic Stroke Lesion Segmentation Challenge
Challenge User

2023PAIP Logo
PAIP 2023: TC prediction in pancreatic and colon cancer
Challenge User

Tumor cellularity prediction in pancreatic cancer (supervised learning) and colon cancer (transfer learning)

HaN-Seg2023 Logo
The Head and Neck Organ-at-Risk CT & MR Segmentation Challenge
Challenge User

A semantic multimodal segmentation challenge comprising 30 organs at risk

ENDO-AID Logo
Endometrial Carcinoma Detection in Pipelle biopsies
Challenge User

Evaluation platform as reference benchmark for algorithms that can predict endometrial carcinoma on whole-slide images of Pipelle sampled endometrial slides stained in H&E, based on the test data set used in our project.

XPRESS Logo
Xray Projectomic Reconstruction Extracting Segment with Skeleton
Challenge User

SegRap2023 Logo
SegRap 2023
Challenge User

A segmentation challenge with 200 patients (two modalities of CT images, 45 OARs and 2 GTVs).

THOMPSON-Challenge Logo
The Trauma THOMPSON Challenge
Challenge User