Photoacoustic Signal Enhancement: Towards Utilization of Low Energy Laser Diodes in Real-Time Photoacoustic Imaging. - Rayyan Manwar; Matin Hosseinzadeh; Ali Hariri; Karl Kratkiewicz; Shahryar Noei; Mohammad R. N. Avanaki (Sensors, 2018)

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)

Deep Learning Regression for Prostate Cancer Detection and Grading in Bi-Parametric MRI. - Coen de Vente; Pieter Vos; Matin Hosseinzadeh; Josien P. W. Pluim; Mitko Veta (IEEE Trans. Biomed. Eng., 2021)

Multi-Modal Siamese Network for Diagnostically Similar Lesion Retrieval in Prostate MRI. - Alberto Rossi; Matin Hosseinzadeh; Monica Bianchini; Franco Scarselli; Henkjan J. Huisman (IEEE Trans. Medical Imaging, 2021)

Uncertainty-Aware Semi-Supervised Learning for Prostate MRI Zonal Segmentation. - Matin Hosseinzadeh; Anindo Saha; Joeran Bosma; Henkjan Huisman (CoRR, 2023)

Tactile Object Recognition With Recurrent Neural Networks Through a Perceptive Soft Gripper. - Enrico Donato; David Pelliccia; Matin Hosseinzadeh; Mahmood Amiri; Egidio Falotico (IEEE Robotics Autom. Lett., 2025)