Author of the publication

Calibrating the Dice Loss to Handle Neural Network Overconfidence for Biomedical Image Segmentation.

, , , , , and . J. Digit. Imaging, 36 (2): 739-752 (April 2023)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

 

Other publications of authors with the same name

MedGA: A novel evolutionary method for image enhancement in medical imaging systems, , , , , , and . Expert Systems with Applications, (2019)Focal Attention Networks: Optimising Attention for Biomedical Image Segmentation., , , , and . ISBI, page 1-5. IEEE, (2022)Semi-automatic Brain Lesion Segmentation in Gamma Knife Treatments Using an Unsupervised Fuzzy C-Means Clustering Technique., , , , , , , , , and . Advances in Neural Networks, volume 54 of Smart Innovation, Systems and Technologies, Springer, (2016)Gamma Knife treatment planning: MR brain tumor segmentation and volume measurement based on unsupervised Fuzzy C-Means clustering., , , , , , , , , and . Int. J. Imaging Syst. Technol., 25 (3): 213-225 (2015)Calibrating Ensembles for Scalable Uncertainty Quantification in Deep Learning-based Medical Segmentation., , , , , , , , and . CoRR, (2022)Binarized multi-gate mixture of Bayesian experts for cardiac syndrome X diagnosis: A clinician-in-the-loop scenario with a belief-uncertainty fusion paradigm., , , , , , , , , and 5 other author(s). Inf. Fusion, (September 2023)A fully automatic approach for multimodal PET and MR image segmentation in gamma knife treatment planning., , , , , , , , , and 1 other author(s). Comput. Methods Programs Biomed., (2017)USE-Net: incorporating Squeeze-and-Excitation blocks into U-Net for prostate zonal segmentation of multi-institutional MRI datasets., , , , , , , , , and 5 other author(s). CoRR, (2019)Enhancing classification performance of convolutional neural networks for prostate cancer detection on magnetic resonance images: a study with the semantic learning machine., , , and . GECCO (Companion), page 381-382. ACM, (2019)Estimation of Kinetic Reaction Constants: Exploiting Reboot Strategies to Improve PSO's Performance., , , , and . CIBB, volume 10834 of Lecture Notes in Computer Science, page 92-102. Springer, (2017)