Dr. Sulaiman Vesal Profile

Dr. Sulaiman Vesal

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Publications (4)

Proceedings Article | 2 April 2024 Presentation + Paper

A deep learning framework to assess the feasibility of localizing prostate cancer on b-mode transrectal ultrasound images

Hassan Jahanandish, Sulaiman Vesal, Indrani Bhattacharya, Cynthia Xinran Li, Richard Fan, Geoffrey Sonn, Mirabela Rusu

Proceedings Volume 12932, 129320S (2024) https://doi.org/10.1117/12.3008819

KEYWORDS: Prostate cancer, Ultrasonography, Cancer, Biopsy, Prostate, Deep learning, Magnetic resonance imaging, Cancer detection, Image segmentation

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Proceedings Article | 1 April 2024 Presentation + Paper

Swin Transformer-based affine registration of MRI and ultrasound images of the prostate

Shengtian Sang, Hassan Jahanandish, Xinran Li, Sulaiman Vesal, Indrani Bhattacharya, Lichun Zhang, Richard Fan, Geoffrey Sonn, Mirabela Rusu

Proceedings Volume 12932, 1293208 (2024) https://doi.org/10.1117/12.3008797

KEYWORDS: Magnetic resonance imaging, Ultrasonography, Prostate, Image registration, Transformers, Matrices, Prostate cancer

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Proceedings Article | 4 April 2022 Poster + Paper

Deep learning based denoising of mammographic x-ray images: an investigation of loss functions and their detail-preserving properties

Dominik Eckert, Ludwig Ritschl, Magdalena Herbst, Julia Wicklein, Sulaiman Vesal, Steffen Kappler, Andreas Maier, Sebastian Stober

Proceedings Volume 12031, 120311T (2022) https://doi.org/10.1117/12.2612403

KEYWORDS: Denoising, X-rays, Digital breast tomosynthesis, X-ray imaging, Photons, Mammography, Sensors, Physics, Signal to noise ratio, Interference (communication)

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Proceedings Article | 4 March 2019 Presentation + Paper

Mammographic breast density classification using a deep neural network: assessment based on inter-observer variability

N. Kaiser, A. Fieselmann, S. Vesal, N. Ravikumar, L. Ritschl, S. Kappler, A. Maier

Proceedings Volume 10952, 109520O (2019) https://doi.org/10.1117/12.2513420

KEYWORDS: Breast, Neural networks, Breast cancer, Convolutional neural networks, Image segmentation, Tissues, Image classification, Feature extraction, Mammography, Algorithm development

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