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Gagan Raj Gupta

gagan

  •  India
  •  IIT Bhilai
  •  EECS
  •  Website
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  • Member for 2 years, 1 month

Activity Overview

PI-CAI Logo
The PI-CAI Challenge
Challenge User

Artificial Intelligence and Radiologists at Prostate Cancer Detection in MRI

CoNIC-Challenge Logo
CoNIC 2022
Challenge User

Colon Nuclei Identification and Counting Challenge 2022

SynthRAD2023 Logo
SynthRAD2023
Challenge User

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

ACROBAT Logo
ACROBAT 2023
Challenge User

The ACROBAT challenge aims to advance the development of WSI registration algorithms that can align WSIs of IHC-stained breast cancer tissue sections to corresponding tissue regions that were stained with H&E. All WSIs originate from routine diagnostic workflows.

DRAC22 Logo
Diabetic Retinopathy Analysis Challenge MICCAI2022
Challenge User

Diabetic Retinopathy (DR) lesions segmentation, image quality assessment and classification of proliferatived DR (PDR) and non-PDR in ultra-wide optical coherence tomography angiography mosaic (UW-OCTA-M) images

NeurIPS22-CellSeg Logo
Cell Segmentation in Multi-modality Microscopy Images
Challenge User

Weakly Supervised Cell Segmentation in Multi-modality High-resolution Microscopy Images

bci Logo
Breast Cancer Immunohistochemical Image Generation Challenge
Challenge User

The Breast Cancer Immunohistochemical Image Generation Challenge aims to directly generate IHC-stained breast cancer histopathology images from HE-stained images.

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)

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.

MedFM2023 Logo
Foundation Model Prompting for Medical Image Classification
Challenge User

The primary objective of this challenge is to promote the development and evaluation of model adaptation techniques for medical image classification to leverage the existing foundation models.

OCELOT2023 Logo
OCELOT 2023: Cell Detection from Cell-Tissue Interaction
Challenge User

BONBID-HIE2023 Logo
Hypoxic Ischemic Encephalopathy Lesion Segmentation Challenge
Challenge User

PANORAMA Logo
PANORAMA
Challenge User

Artificial Intelligence and Radiologists at Pancreatic Cancer Diagnosis in CT

JustRAIGS Logo
Justified Referral in AI Glaucoma Screening
Challenge User

airogs_v5 Logo
airogs_v5
Algorithm User