Mayank Patwari

Lehrstuhl für Informatik 5 (Mustererkennung)

Reducing the risk of hallucinations with interpretable deep learning models for low-dose CT denoising: comparative performance analysis (2023) Patwari M, Gutjahr R, Marcus R, Thali Y, Calvarons AF, Raupach R, Maier A Journal article Trainable joint bilateral filters for enhanced prediction stability in low-dose CT (2022) Wagner F, Thies M, Denzinger F, Gu M, Patwari M, Ploner S, Maul N, et al. Journal article Ultra low‐parameter denoising: Trainable bilateral filter layers in computed tomography (2022) Wagner F, Thies M, Gu M, Huang Y, Pechmann S, Patwari M, Ploner S, et al. Journal article, Original article Limited parameter denoising for low-dose X-ray computed tomography using deep reinforcement learning (2022) Patwari M, Gutjahr R, Raupach R, Maier A Journal article, Original article A quantitative comparison of plantar soft tissue strainability distribution and homogeneity between ulcerated and non-ulcerated patients using ultrasound strain elastography (2022) Patwari M, Chatzistergos P, Sundar L, Chockalingam N, Ramachandran A, Naemi R Journal article JBFnet: Low Dose CT-denoising by Trainable Joint Bilateral Filtering (2021) Patwari M, Gutjahr R, Raupach R, Maier A Conference contribution, Abstract of a poster Deep Learning based Model Observers for Multi - Modal Imaging (2021) Naderi Boldaji H, Patwari M, Reymann M, Gutjahr R, Raupach R, Maier A Conference contribution, Conference Contribution JBFnet - Low Dose CT Denoising by Trainable Joint Bilateral Filtering (2020) Patwari M, Gutjahr R, Raupach R, Maier A Conference contribution, Original article Low Dose CT Denoising via Joint Bilateral Filtering and Intelligent Parameter Optimization (2020) Patwari M, Gutjahr R, Raupach R, Maier A Conference contribution, Original article Low dose CT denoising with residual convolutional networks and deep learned perceptual loss (2020) Patwari M, Gutjahr R, Raupach R, Maier A Conference contribution, Abstract of a poster