ProjectID: P202208090001
Bronze New
Multi-Modality Fusion Coupled with Hybrid Machine Learning Systems for Improved Prediction of TNM Staging in …

Objective: Multi-level multi-modality-fusion-radiomics is a promising technique with the potential for improved prognostication of cancer. We aim to use advanced fusion techniques on PET and …

Aug. 9, 2022
Fund: Free
ProjectID: P202205180001
Bronze New
Breast Cancer Classification via Self-Knowledge Distillation, Transfer Learning, and Feature Fusion Models

Cancer is still considered as the most common source of human illness and death globally. Lately, the number of patients classified with cancer was 18.1 …

May 18, 2022
Fund: Free
ProjectID: P202205130007
Bronze New
Predicting TNM Stage in Head and Neck Cancer using Multi-Modality Fusion Coupled with Deep Learning …

Objective: The tumor, node, metastasis (TNM) staging system enables clinicians to describe the spread of head and-neck-squamous-cell-carcinoma (HNSCC) cancer in a specific manner to assist …

May 13, 2022
Fund: Free
ProjectID: P202205130006
Bronze New
Automatic Segmentation of Head and Neck Cancer using Fusion, Attention map detection, and Deep learning …

Objectives: Squamous cell carcinoma of the head and neck (HNSCC) is a malignant tumor of the head and neck that originates from the lips, mouth, …

May 13, 2022
Fund: Free
ProjectID: P202205130005
Bronze New
Application of Hybrid Machine Learning Features and Reliable Tensor Radiomics features in prediction of Survival …

Objectives: Radiomics is a major frontier in medical image analysis, enabling mining of high-dimensional data from images. Although radiomics features (RF) are increasingly extracted via …

May 13, 2022
Fund: Free
ProjectID: P202205130004
Bronze New
Application of Deep Learning Techniques Coupled with fusion Models for prediction of TNM Stage in …

Objective: The tumor, node, metastasis (TNM) staging system enables clinicians to describe the spread of lung cancer in a specific manner to assist with assessment …

May 13, 2022
Fund: Free
ProjectID: P202205130003
Bronze New
Identifying Reliable and Robust Tensor Radiomics Features in Lung Cancer

Objectives: Radiomics is a major frontier in medical image analysis, enabling the mining of high-dimensional data from images. Although radiomics features (RF) are increasingly extracted …

May 13, 2022
Fund: Free
ProjectID: P202208030002
Bronze Ongoing
Breast cancer diagnosis using an integrated radiomic framework and machine learning methods based on DCE-MRI …

Worldwide, breast cancer is the most common cancer in women, including almost one-third of all females' malignancies. Previous studies indicate that various genetic and environmental …

Aug. 10, 2022
Fund: Free
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ProjectID: P202208030001
Bronze Ongoing
Feasibility study of synthesis from CT to PET using CycleGAN network for head and neck …

The objective of image translation is to map an image onto another image with different domains. A growing number of applications in computer vision and …

Aug. 3, 2022
Fund: Free
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ProjectID: P202205230001
Silver Ongoing
HECKTOR challenge- 2022 Task 2: The prediction of patient outcomes, namely Relapse-Free Survival (RFS) from …

Following the success of the first two editions of the HECKTOR challenge in 2020 and 2021, this challenge will be presented at the 25th International …

May 23, 2022
Fund: Free
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ProjectID: P202205180002
Silver Ongoing
HECKTOR challenge- 2022 Task 1: The automatic segmentation of Head and Neck (H&N) primary tumors …

Following the success of the first two editions of the HECKTOR challenge in 2020 and 2021, this challenge will be presented at the 25th International …

May 18, 2022
Fund: Free
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ProjectID: P202205130002
Bronze Ongoing
Investigating the relationship between whole-exome sequence analysis results of clinical features and features extracted from …

Parkinson’s disease (PD) is the second prevalent neurodegenerative disorder after Alzheimer’s disease (AD), is affected 1–5% of the general population and 1-2% of the world …

May 13, 2022
Fund: Free
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ProjectID: P202206060002
Gold Done
IBSI Chapter 2_medical Image Filtering (Reproducible medical imaging features)

Medical imaging is often used to support clinical decision-making, but only through visual inspection or simple measures. Additional relevant information, e.g., disease phenotypes, may be …

June 6, 2022
Fund: $13000
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ProjectID: P202205230002
Gold Done
Developing SERA package and making it as a GUI application

Supporting, Reading, and Writing Medical Images Conversion Modalities Implementing Image Registration and Fusion Linking SERA with other sections

Oct. 23, 2021
Fund: $25000
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ProjectID: P202205170005
Bronze Done
Hybrid Machine Learning Systems for Prediction of Parkinson’s Disease Pathogenic Variants using Clinical Information and …

Objectives: Parkinson’s disease (PD) is a complex neurodegenerative disorder characterized by motor and non-motor symptoms. 5–10% of cases are of genetic origin with mutations identified …

May 17, 2022
Fund: Free
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ProjectID: P202205170004
Bronze Done
Fusion-based head and neck tumor segmentation and survival prediction using robust deep learning techniques and …

Multi-level multi-modality fusion radiomics is a promising technique with potential for improved prognostication and segmentation of cancer. This study aims to employ advanced fusion techniques, …

May 17, 2022
Fund: Free
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ProjectID: P202205170003
Bronze Done
Advanced automatic segmentation of tumors and survival prediction in head and neck cancer

In this study, 325 subjects were extracted from the HECKTOR-Challenge. 224 subjects were considered in the training procedure, and 101 subjects were employed to validate …

May 17, 2022
Fund: Free
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ProjectID: P202204050001
Bronze Done
Prediction of Cognitive Decline in Parkinson's Disease using Hybrid Machine Learning and Deep Learning Techniques.

Objectives: Prediction of disease progression in PD patients holds significant value. Individual knowledge of disease progression can help to make proper social and occupational decisions …

April 5, 2022
Fund: Free
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ProjectID: P202203170004
Bronze Done
Robustness and Reproducibility of Radiomics Features from Fusions of PET-CT Images

Objectives: Radiomics is a major frontier in medical image analysis, enabling mining of high-dimensional data from images. Although radiomics features (RF) are increasingly extracted via …

March 20, 2022
Fund: Free
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ProjectID: P202203140002
Silver Done
Deep versus handcrafted tensor radiomics features: application to survival prediction in head and neck cancer

Objectives: In this study, multi-level multi-modality-fusion technique is a promising technique with potential for improved prognostication of head and neck (HN) cancer. We aim to …

March 20, 2022
Fund: Free
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ProjectID: P202103100018
Bronze Done
Reliable and Reproducible Tensor Radiomics Features in Prediction of Survival in Head and Neck Cancer

Objectives: Radiomics is a major frontier in medical image analysis, enabling mining of high-dimensional data from images. Although radiomics features (RF) are increasingly extracted via …

Feb. 7, 2022
Fund: Free
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ProjectID: P202103100012
Bronze Done
Longitudinal Clustering Analysis and Prediction of Parkinson’s Disease Progression

Objectives: We aimed to identify distinct disease progression pathways in Parkinson’s disease (PD), making use of clinical and imaging features, towards improved understanding of disease …

May 18, 2021
Fund: Free
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ProjectID: P202103100011
Bronze Done
Hybrid Machine Learning Methods and Ensemble Voting for Identification of Parkinson’s Disease Subtypes

Objectives: It is important to subdivide Parkinson’s disease (PD) into specific subtypes, since homogeneous groups of patients are more likely to share genetic and pathological …

Feb. 18, 2021
Fund: Free
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ProjectID: P202103100004
Bronze Done
Robust identification of Parkinson’s disease subtypes using radiomics and hybrid machine learning

Objectives: It is important to subdivide Parkinson’s disease (PD) into subtypes, enabling potentially earlier disease recognition and tailored treatment strategies. We aimed to identify reproducible …

Dec. 20, 2020
Fund: Free
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ProjectID: P202102100003
Bronze Done
Cognitive Outcome Prediction in Parkinson’s Disease Using Hybrid Machine Learning Systems and Radiomics Features

Objective: Montreal Cognitive Assessment (MoCA) as a rapid nonmotor-screening test assesses different aspects of cognitive dysfunction. Early prediction of these symptoms may facilitate better temporal …

Sept. 1, 2021
Fund: Free
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ProjectID: P202103100002
Bronze Done
Multi-Modality Fusion Coupled with Deep Learning for Improved Outcome Prediction in Head and Neck Cancer

Objective: Multi-level multi-modality-fusion-radiomics is a promising technique with potential for improved prognostication of cancer. We aim to use advanced fusion-techniques on PET and CT images …

Aug. 1, 2021
Fund: $1000
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ProjectID: P202103100001
Bronze Done
Drug Amount Prediction in Parkinson’s Disease Using Hybrid Machine Learning Systems and Radiomics Features

Objectives: Parkinson’s Disease (PD) is progressive and heterogeneous. Predicting and personalizing drug amount consistently to treat PD patients holds significant promises to enhance chances of …

Aug. 1, 2021
Fund: Free
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ProjectID: P202102100002
Bronze Done
Prediction of TNM Stage in Head and Neck Cancer Using Hybrid Machine Learning Systems and …

Objective: The tumor, node, metastasis (TNM) staging system enables clinicians to describe the spread of head-and-neck-squamous-cell-carcinoma (HNSCC) cancer in a specific manner to assist with …

Aug. 1, 2021
Fund: Free
View
ProjectID: P202102100001
Bronze Done
Advanced Survival Prediction in Head and Neck Cancer Using Hybrid Machine Learning Systems and Radiomics …

Objective: Accurate prognostic stratification of Head-and-Neck-Squamous-Cell-Carcinoma (HNSCC) patients can be an important clinical reference when designing therapeutic strategies. We set to predict 4 outcomes: overall-survival …

Aug. 1, 2021
Fund: Free
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