output
20192024
most citedQU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Scores and Benchmarking Results

58 citations

5 papers

eess.IV2024★ 35 cited

Efficient Quality Control of Whole Slide Pathology Images with Human-in-the-loop Training

Abhijeet Patil, Harsh Diwakar, Jay Sawant +5

Histopathology whole slide images (WSIs) are being widely used to develop deep learning-based diagnostic solutions, especially for precision oncology. Most of these diagnostic soft…

eess.IV2021★ 58 cited

QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Scores and Benchmarking Results

Raghav Mehta, Angelos Filos, Ujjwal Baid +89

Deep learning (DL) models have provided state-of-the-art performance in various medical imaging benchmarking challenges, including the Brain Tumor Segmentation (BraTS) challenges.…

physics.bio-ph2021★ 3 cited

Nucleosome sliding can influence the spreading of histone modifications

Shantanu Kadam, Tripti Bameta, Ranjith Padinhateeri

Nucleosomes are the fundamental building blocks of chromatin that not only help in the folding of chromatin but also in carrying epigenetic information. It is known that nucleosome…

eess.IV2021★ 16 cited

The Federated Tumor Segmentation (FeTS) Challenge

Sarthak Pati, Ujjwal Baid, Maximilian Zenk +29

This manuscript describes the first challenge on Federated Learning, namely the Federated Tumor Segmentation (FeTS) challenge 2021. International challenges have become the standar…

stat.AP2019★ 10 cited

Classification Algorithm for High Dimensional Protein Markers in Time-course Data

Souvik Banerjee, Gajendra K. Vishwakarma, Atanu Bhattacharjee

Identification of biomarkers is an emerging area in Oncology. In this article, we develop an efficient statistical procedure for classification of protein markers according to thei…