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2020 – today
- 2024
[c5]Alessa Hering
, Sarah de Boer, Anindo Saha, Jasper J. Twilt, Mattias P. Heinrich, Derya Yakar, Maarten de Rooij, Henkjan Huisman, Joeran S. Bosma:
Deformable MRI Sequence Registration for AI-Based Prostate Cancer Diagnosis. WBIR 2024: 148-162- [i11]Alessa Hering, Sarah de Boer, Anindo Saha, Jasper J. Twilt, Derya Yakar, Maarten de Rooij, Henkjan Huisman, Joeran S. Bosma:
Deformable MRI Sequence Registration for AI-based Prostate Cancer Diagnosis. CoRR abs/2404.09666 (2024) - [i10]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 H. Menze:
QUBIQ: Uncertainty Quantification for Biomedical Image Segmentation Challenge. CoRR abs/2405.18435 (2024) - 2023
- [c4]Joeran Bosma, Dre Peeters, Natália Alves, Anindo Saha, Zaigham Saghir, Colin Jacobs, Henkjan Huisman:
Reproducibility of Training Deep Learning Models for Medical Image Analysis. MIDL 2023: 1269-1287 - [i9]Bram De Wilde, Anindo Saha, Richard P. G. ten Broek, Henkjan Huisman:
Medical diffusion on a budget: textual inversion for medical image generation. CoRR abs/2303.13430 (2023) - [i8]Matin Hosseinzadeh, Anindo Saha, Joeran Bosma, Henkjan Huisman:
Uncertainty-Aware Semi-Supervised Learning for Prostate MRI Zonal Segmentation. CoRR abs/2305.05984 (2023) - 2022
- [d2]Anindo Saha, Jasper J. Twilt, Joeran S. Bosma, Bram van Ginneken, Derya Yakar, Mattijs Elschot, Jeroen Veltman, Jurgen J. Fütterer, Maarten de Rooij, Henkjan Huisman:
The PI-CAI Challenge: Public Training and Development Dataset. Version v1.0. Zenodo, 2022 [all versions]
- [d1]Anindo Saha, Jasper Jonathan Twilt, Joeran Sander Bosma, Bram van Ginneken, Derya Yakar, Mattijs Elschot, Jeroen Veltman, Jurgen J. Fütterer, Maarten de Rooij, Henkjan Huisman:
The PI-CAI Challenge: Public Training and Development Dataset. Version v2.0. Zenodo, 2022 [all versions] - 2021
- [j1]Anindo Saha, Matin Hosseinzadeh, Henkjan J. Huisman:
End-to-end prostate cancer detection in bpMRI via 3D CNNs: Effects of attention mechanisms, clinical priori and decoupled false positive reduction. Medical Image Anal. 73: 102155 (2021) - [i7]Anindo Saha, Matin Hosseinzadeh, Henkjan J. Huisman:
End-to-end Prostate Cancer Detection in bpMRI via 3D CNNs: Effect of Attention Mechanisms, Clinical Priori and Decoupled False Positive Reduction. CoRR abs/2101.03244 (2021) - [i6]Anindo Saha, Joeran Bosma, Jasper Linmans, Matin Hosseinzadeh, Henkjan J. Huisman:
Anatomical and Diagnostic Bayesian Segmentation in Prostate MRI - Should Different Clinical Objectives Mandate Different Loss Functions? CoRR abs/2110.12889 (2021) - [i5]Joeran S. Bosma, Anindo Saha, Matin Hosseinzadeh, Ilse Slootweg, Maarten de Rooij, Henkjan Huisman:
Report-Guided Automatic Lesion Annotation for Deep Learning-Based Prostate Cancer Detection in bpMRI. CoRR abs/2112.05151 (2021) - 2020
- [c3]Anindo Saha, Prem Prasad, Abdullah Thabit:
Leveraging Adaptive Color Augmentation in Convolutional Neural Networks for Deep Skin Lesion Segmentation. ISBI 2020: 2014-2017 - [c2]Anindo Saha, Fakrul Islam Tushar, Khrystyna Faryna, Vincent M. D'Anniballe, Rui Hou, Maciej A. Mazurowski, Geoffrey D. Rubin, Joseph Y. Lo:
Weakly supervised 3D classification of chest CT using aggregated multi-resolution deep segmentation features. Computer-Aided Diagnosis 2020 - [i4]Jaime Simarro, Zohaib Salahuddin, Ahmed Gouda, Anindo Saha:
Leveraging SLIC Superpixel Segmentation and Cascaded Ensemble SVM for Fully Automated Mass Detection In Mammograms. CoRR abs/2010.10340 (2020) - [i3]Anindo Saha, Prem Prasad, Abdullah Thabit:
Leveraging Adaptive Color Augmentation in Convolutional Neural Networks for Deep Skin Lesion Segmentation. CoRR abs/2011.00148 (2020) - [i2]Anindo Saha, Fakrul Islam Tushar, Khrystyna Faryna, Vincent M. D'Anniballe, Rui Hou, Maciej A. Mazurowski, Geoffrey D. Rubin, Joseph Y. Lo:
Weakly Supervised 3D Classification of Chest CT using Aggregated Multi-Resolution Deep Segmentation Features. CoRR abs/2011.00149 (2020) - [i1]Anindo Saha, Matin Hosseinzadeh, Henkjan J. Huisman:
Encoding Clinical Priori in 3D Convolutional Neural Networks for Prostate Cancer Detection in bpMRI. CoRR abs/2011.00263 (2020)
2010 – 2019
- 2017
- [c1]Anindo Saha, Shabab Iqbal, Mithun Karmaker, Syeda Fairose Zinnat, M. Tanseer Ali:
A wireless optical power system for medical implants using low power near-IR laser. EMBC 2017: 1978-1981
Coauthor Index
aka: Henkjan Huisman
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