Anindo Saha

According to our database, Anindo Saha authored at least 12 papers between 2017 and 2023.

Collaborative distances:

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

2023

Uncertainty-Aware Semi-Supervised Learning for Prostate MRI Zonal Segmentation.

Matin Hosseinzadeh, Anindo Saha, Joeran Bosma, Henkjan Huisman

CoRR, 2023

Medical diffusion on a budget: textual inversion for medical image generation.

Bram De Wilde, Anindo Saha, Richard P. G. ten Broek, Henkjan Huisman

CoRR, 2023

Reproducibility of Training Deep Learning Models for Medical Image Analysis.

Joeran Bosma, Dre Peeters, Natália Alves, Anindo Saha, Zaigham Saghir, Colin Jacobs, Henkjan Huisman

Proceedings of the Medical Imaging with Deep Learning, 2023

2021

End-to-end prostate cancer detection in bpMRI via 3D CNNs: Effects of attention mechanisms, clinical priori and decoupled false positive reduction.

Anindo Saha, Matin Hosseinzadeh, Henkjan J. Huisman

Medical Image Anal., 2021

Report-Guided Automatic Lesion Annotation for Deep Learning-Based Prostate Cancer Detection in bpMRI.

Joeran S. Bosma, Anindo Saha, Matin Hosseinzadeh, Ilse Slootweg, Maarten de Rooij, Henkjan Huisman

CoRR, 2021

Anatomical and Diagnostic Bayesian Segmentation in Prostate MRI - Should Different Clinical Objectives Mandate Different Loss Functions?

Anindo Saha, Joeran Bosma, Jasper Linmans, Matin Hosseinzadeh, Henkjan J. Huisman

CoRR, 2021

End-to-end Prostate Cancer Detection in bpMRI via 3D CNNs: Effect of Attention Mechanisms, Clinical Priori and Decoupled False Positive Reduction.

Anindo Saha, Matin Hosseinzadeh, Henkjan J. Huisman

CoRR, 2021

2020

Encoding Clinical Priori in 3D Convolutional Neural Networks for Prostate Cancer Detection in bpMRI.

Anindo Saha, Matin Hosseinzadeh, Henkjan J. Huisman

CoRR, 2020

Leveraging SLIC Superpixel Segmentation and Cascaded Ensemble SVM for Fully Automated Mass Detection In Mammograms.

Jaime Simarro, Zohaib Salahuddin, Ahmed Gouda, Anindo Saha

CoRR, 2020

Weakly supervised 3D classification of chest CT using aggregated multi-resolution deep segmentation features.

Anindo Saha, Fakrul Islam Tushar, Khrystyna Faryna, Vincent M. D'Anniballe, Rui Hou, Maciej A. Mazurowski, Geoffrey D. Rubin, Joseph Y. Lo

Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020

Leveraging Adaptive Color Augmentation in Convolutional Neural Networks for Deep Skin Lesion Segmentation.

Anindo Saha, Prem Prasad, Abdullah Thabit

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

2017

A wireless optical power system for medical implants using low power near-IR laser.

Anindo Saha, Shabab Iqbal, Mithun Karmaker, Syeda Fairose Zinnat, M. Tanseer Ali

Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017