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 (EMBC, 2017)

Leveraging Adaptive Color Augmentation in Convolutional Neural Networks for Deep Skin Lesion Segmentation. - Anindo Saha; Prem Prasad; Abdullah Thabit (ISBI, 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 002; Maciej A. Mazurowski; Geoffrey D. Rubin; Joseph Y. Lo (Computer-Aided Diagnosis, 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)

Encoding Clinical Priori in 3D Convolutional Neural Networks for Prostate Cancer Detection in bpMRI. - Anindo Saha; Matin Hosseinzadeh; Henkjan J. Huisman (CoRR, 2020)

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)

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)

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)

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)

The PI-CAI Challenge: Public Training and Development Dataset. - 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 (Zenodo, 2022)

The PI-CAI Challenge: Public Training and Development Dataset. - 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 (Zenodo, 2022)

Reproducibility of Training Deep Learning Models for Medical Image Analysis. - Joeran Bosma; Dre Peeters; Natália Alves; Anindo Saha; Zaigham Saghir; Colin Jacobs; Henkjan Huisman (MIDL, 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)

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; Maarten de Rooij; Henkjan Huisman; Geert Litjens 001 (MIDL, 2024)

Deformable MRI Sequence Registration for AI-Based Prostate Cancer Diagnosis. - Alessa Hering; Sarah de Boer; Anindo Saha; Jasper J. Twilt; Mattias P. Heinrich; Derya Yakar; Maarten de Rooij; Henkjan Huisman; Joeran S. Bosma (WBIR, 2024)

Deformable MRI Sequence Registration for AI-based Prostate Cancer Diagnosis. - Alessa Hering; Sarah de Boer; Anindo Saha; Jasper J. Twilt; Derya Yakar; Maarten de Rooij; Henkjan Huisman; Joeran S. Bosma (CoRR, 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; et al. (CoRR, 2024)

The DRAGON benchmark for clinical NLP. - Joeran S. Bosma; Koen Dercksen; Luc Builtjes; Romain André; Christian Roest; Stefan J. Fransen; Constant R. Noordman; Mar Navarro-Padilla; Judith Lefkes; Natália Alves; Max J. J. de Grauw; Leander van Eekelen; et al. (npj Digit. Medicine, 2025)