Search Results for author:
Found 11 papers, 6 papers with code
Machine Learning-Based Analysis of Sperm Videos and Participant Data for Male Fertility Prediction
In the field of male human reproduction, clinical and biological data are not used to its fullest potential.
Kvasir-Instrument: Diagnostic and therapeutic tool segmentation dataset in gastrointestinal endoscopy
Additionally, we provide a baseline for the segmentation of the GI tools to promote research and algorithm development.
Ranked #2 on
Medical Image Segmentation
on Kvasir-Instrument
Real-Time Detection of Events in Soccer Videosusing 3D Convolutional Neural Networks
The trade-off is a slightly lower precision compared to the current state-of-the-art, which has higher latency and performs better when a less accurate time estimation can be accepted.
Ranked #7 on
Action Spotting
on SoccerNet
Medico Multimedia Task at MediaEval 2020: Automatic Polyp Segmentation
Colorectal cancer is the third most common cause of cancer worldwide.
SinGAN-Seg: Synthetic training data generation for medical image segmentation
The pipeline is evaluated using qualitative and quantitative comparisons between real and synthetic data to show that the style transfer technique used in our pipeline significantly improves the quality of the generated data and our method is better than other state-of-the-art GANs to prepare synthetic images when the size of training datasets are limited.
DivergentNets: Medical Image Segmentation by Network Ensemble
For our contribution to the EndoCV 2021 segmentation challenge, we propose two separate approaches.
MMSys'22 Grand Challenge on AI-based Video Production for Soccer
This challenge aims to assist the automation of such a production pipeline using AI.
MLC at HECKTOR 2022: The Effect and Importance of Training Data when Analyzing Cases of Head and Neck Tumors using Machine Learning
We proposed two approaches; one using only the CT scans to make predictions and another using a combination of the CT and PET scans.
VISEM-Tracking, a human spermatozoa tracking dataset
A manual assessment of sperm motility requires microscopy observation, which is challenging due to the fast-moving spermatozoa in the field of view.
Blockwise Principal Component Analysis for monotone missing data imputation and dimensionality reduction
To address this issue, we propose a Blockwise principal component analysis Imputation (BPI) framework for dimensionality reduction and imputation of monotone missing data.
An objective validation of polyp and instrument segmentation methods in colonoscopy through Medico 2020 polyp segmentation and MedAI 2021 transparency challenges
Automatic analysis of colonoscopy images has been an active field of research motivated by the importance of early detection of precancerous polyps.
