Ishaan Bhat

According to our database, Ishaan Bhat authored at least 8 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

QUBIQ: Uncertainty Quantification for Biomedical Image Segmentation Challenge.

Hongwei Bran Li, Fernando Navarro, Ivan Ezhov, Amirhossein Bayat, Dhritiman Das, Florian Kofler, Suprosanna Shit, Diana Waldmannstetter, Johannes C. Paetzold, Xiaobin Hu, Benedikt Wiestler, Lucas Zimmer, Tamaz Amiranashvili, Chinmay Prabhakar, Christoph Berger, Jonas Weidner, Michelle Alonso-Basanta, Arif Rashid, Ujjwal Baid, Wesam Adel, Deniz Alis, Bhakti Baheti, Yingbin Bai, Ishaan Bhat, Sabri Can Cetindag, Wenting Chen, Li Cheng, Prasad Dutande, Lara Dular, Mustafa A. Elattar, Ming Feng, Shengbo Gao, Henkjan Huisman, Weifeng Hu, Shubham Innani, Wei Jiat, Davood Karimi, Hugo J. Kuijf, Jin Tae Kwak, Hoang Long Le, Xiang Lia, Huiyan Lin, Tongliang Liu, Jun Ma, Kai Ma, Ting Ma, Ilkay Öksüz, Robbie Holland, Arlindo L. Oliveira, Jimut Bahan Pal, Xuan Pei, Maoying Qiao, Anindo Saha, Raghavendra Selvan, Linlin Shen, João Lourenço Silva, Ziga Spiclin, Sanjay N. Talbar, Dadong Wang, Wei Wang, Xiong Wang, Yin Wang, Ruiling Xia, Kele Xu, Yanwu Yan, Mert Yergin, Shuang Yu, Lingxi Zeng, YingLin Zhang, Jiachen Zhao, Yefeng Zheng, Martin Zukovec, Richard K. G. Do, Anton S. Becker, Amber L. Simpson, Ender Konukoglu, András Jakab, Spyridon Bakas, Leo Joskowicz, Bjoern Menze

CoRR, 2024

2023

Effect of latent space distribution on the segmentation of images with multiple annotations.

Ishaan Bhat, Josien P. W. Pluim, Max A. Viergever, Hugo J. Kuijf

CoRR, 2023

Calibration techniques for node classification using graph neural networks on medical image data.

Iris N. Vos, Ishaan Bhat, Birgitta K. Velthuis, Ynte M. Ruigrok, Hugo J. Kuijf

Proceedings of the Medical Imaging with Deep Learning, 2023

2022

Influence of uncertainty estimation techniques on false-positive reduction in liver lesion detection.

Ishaan Bhat, Josien P. W. Pluim, Max A. Viergever, Hugo J. Kuijf

CoRR, 2022

Generalized Probabilistic U-Net for Medical Image Segementation.

Ishaan Bhat, Josien P. W. Pluim, Hugo J. Kuijf

Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, 2022

2021

Using Uncertainty Estimation To Reduce False Positives In Liver Lesion Detection.

Ishaan Bhat, Hugo J. Kuijf, Veronika Cheplygina, Josien P. W. Pluim

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

Extending Probabilistic U-Net Using MC-Dropout to Quantify Data and Model Uncertainty.

Ishaan Bhat, Hugo J. Kuijf

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2021

2020

The GCE in a New Light: Disentangling the γ-ray Sky with Bayesian Graph Convolutional Neural Networks.

Florian List, Nicholas L. Rodd, Geraint F. Lewis, Ishaan Bhat

CoRR, 2020