Sulaiman Vesal

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 50

Top Topics

Image Segmentation

Magnetic Resonance

Top Venues

Bildverarbeitung für die Medizin

Medical Image Anal.

Publications

Wei Shao, Sulaiman Vesal, Simon J. C. Soerensen, Indrani Bhattacharya, Negar Golestani, Rikiya Yamashita, Christian A. Kunder, Richard E. Fan, Pejman Ghanouni, James D. Brooks, Geoffrey A. Sonn, Mirabela Rusu
RAPHIA: A deep learning pipeline for the registration of MRI and whole-mount histopathology images of the prostate. Comput. Biol. Medicine 173 (2024)
Sang Won Son, Jongyeon Park, Hong Kook Kim, Sulaiman Vesal, Jeong Eun Lim
Sound event detection based on auxiliary decoder and maximum probability aggregation for DCASE Challenge 2024 Task 4. CoRR (2024)
Sulaiman Vesal, Indrani Bhattacharya, Hassan Jahanandish, Cynthia Xinran Li, Zachary Kornberg, Steve Ran Zhou, Elijah Richard Sommer, Moonhyung Choi, Richard E. Fan, Geoffrey A. Sonn, Mirabela Rusu
ProsDectNet: Bridging the Gap in Prostate Cancer Detection via Transrectal B-mode Ultrasound Imaging. CoRR (2023)
Cynthia Xinran Li, Indrani Bhattacharya, Sulaiman Vesal, Sara L. Saunders, Simon John Christoph Soerensen, Richard E. Fan, Geoffrey A. Sonn, Mirabela Rusu
Improving Automated Prostate Cancer Detection and Classification Accuracy with Multi-scale Cancer Information. MLMI@MICCAI (1) (2023)
Indrani Bhattacharya, Sulaiman Vesal, Hassan Jahanandish, Moonhyung Choi, Steve Zhou, Zachary Kornberg, Elijah Sommer, Richard E. Fan, James D. Brooks, Geoffrey A. Sonn, Mirabela Rusu
MIC-CUSP: Multimodal Image Correlations for Ultrasound-Based Prostate Cancer Detection. ASMUS@MICCAI (2023)
Alessa Hering, Lasse Hansen, Tony C. W. Mok, Albert C. S. Chung, Hanna Siebert, Stephanie Häger, Annkristin Lange, Sven Kuckertz, Stefan Heldmann, Wei Shao, Sulaiman Vesal, Mirabela Rusu, Geoffrey A. Sonn, Théo Estienne, Maria Vakalopoulou, Luyi Han, Yunzhi Huang, Pew-Thian Yap, Mikael Brudfors, Yaël Balbastre, Samuel Joutard, Marc Modat, Gal Lifshitz, Dan Raviv, Jinxin Lv, Qiang Li, Vincent Jaouen, Dimitris Visvikis, Constance Fourcade, Mathieu Rubeaux, Wentao Pan, Zhe Xu, Bailiang Jian, Francesca De Benetti, Marek Wodzinski, Niklas Gunnarsson, Jens Sjölund, Daniel Grzech, Huaqi Qiu, Zeju Li, Alexander Thorley, Jinming Duan, Christoph Großbröhmer, Andrew Hoopes, Ingerid Reinertsen, Yiming Xiao, Bennett A. Landman, Yuankai Huo, Keelin Murphy, Nikolas Lessmann, Bram van Ginneken, Adrian V. Dalca, Mattias P. Heinrich
Learn2Reg: Comprehensive Multi-Task Medical Image Registration Challenge, Dataset and Evaluation in the Era of Deep Learning. IEEE Trans. Medical Imaging 42 (3) (2023)
Xiahai Zhuang, Jiahang Xu, Xinzhe Luo, Chen Chen, Cheng Ouyang, Daniel Rueckert, Víctor M. Campello, Karim Lekadir, Sulaiman Vesal, Nishant Ravikumar, Yashu Liu, Gongning Luo, Jingkun Chen, Hongwei Li, Buntheng Ly, Maxime Sermesant, Holger Roth, Wentao Zhu, Jiexiang Wang, Xinghao Ding, Xinyue Wang, Sen Yang, Lei Li
Cardiac segmentation on late gadolinium enhancement MRI: A benchmark study from multi-sequence cardiac MR segmentation challenge. Medical Image Anal. 81 (2022)
Sulaiman Vesal, Iani J. M. B. Gayo, Indrani Bhattacharya, Shyam Natarajan, Leonard S. Marks, Dean C. Barratt, Richard E. Fan, Yipeng Hu, Geoffrey A. Sonn, Mirabela Rusu
Domain Generalization for Prostate Segmentation in Transrectal Ultrasound Images: A Multi-center Study. CoRR (2022)
Mingxuan Gu, Sulaiman Vesal, Ronak Kosti, Andreas K. Maier
Few-shot Unsupervised Domain Adaptation for Multi-modal Cardiac Image Segmentation. Bildverarbeitung für die Medizin (2022)
Sulaiman Vesal, Iani J. M. B. Gayo, Indrani Bhattacharya, Shyam Natarajan, Leonard S. Marks, Dean C. Barratt, Richard E. Fan, Yipeng Hu, Geoffrey A. Sonn, Mirabela Rusu
Domain generalization for prostate segmentation in transrectal ultrasound images: A multi-center study. Medical Image Anal. 82 (2022)
Mingxuan Gu, Sulaiman Vesal, Mareike Thies, Zhaoya Pan, Fabian Wagner, Mirabela Rusu, Andreas K. Maier, Ronak Kosti
ConFUDA: Contrastive Fewshot Unsupervised Domain Adaptation for Medical Image Segmentation. CoRR (2022)
Mingxuan Gu, Sulaiman Vesal, Ronak Kosti, Andreas K. Maier
Few-shot Unsupervised Domain Adaptation for Multi-modal Cardiac Image Segmentation. CoRR (2022)
Sarah Wallraff, Sulaiman Vesal, Christopher Syben, Rainer Lutz, Andreas Maier
Age Estimation on Panoramic Dental X-ray Images using Deep Learning. Bildverarbeitung für die Medizin (2021)
Sulaiman Vesal, Mingxuan Gu, Ronak Kosti, Andreas Maier, Nishant Ravikumar
Adapt Everywhere: Unsupervised Adaptation of Point-Clouds and Entropy Minimization for Multi-Modal Cardiac Image Segmentation. IEEE Trans. Medical Imaging 40 (7) (2021)
Dalia Rodríguez-Salas, Mathias Seuret, Sulaiman Vesal, Andreas Maier
Ultrasound Breast Lesion Detection using Extracted Attention Maps from a Weakly Supervised Convolutional Neural Network. Bildverarbeitung für die Medizin (2021)
Sulaiman Vesal, Mingxuan Gu, Andreas Maier, Nishant Ravikumar
Spatio-Temporal Multi-Task Learning for Cardiac MRI Left Ventricle Quantification. IEEE J. Biomed. Health Informatics 25 (7) (2021)
Zhaohan Xiong, Qing Xia, Zhiqiang Hu, Ning Huang, Cheng Bian, Yefeng Zheng, Sulaiman Vesal, Nishant Ravikumar, Andreas K. Maier, Xin Yang, Pheng-Ann Heng, Dong Ni, Caizi Li, Qianqian Tong, Weixin Si, Élodie Puybareau, Younes Khoudli, Thierry Géraud, Jichao Zhao
A global benchmark of algorithms for segmenting the left atrium from late gadolinium-enhanced cardiac magnetic resonance imaging. Medical Image Anal. 67 (2021)
Alessa Hering, Lasse Hansen, Tony C. W. Mok, Albert C. S. Chung, Hanna Siebert, Stephanie Häger, Annkristin Lange, Sven Kuckertz, Stefan Heldmann, Wei Shao, Sulaiman Vesal, Mirabela Rusu, Geoffrey A. Sonn, Théo Estienne, Maria Vakalopoulou, Luyi Han, Yunzhi Huang, Mikael Brudfors, Yaël Balbastre, Samuel Joutard, Marc Modat, Gal Lifshitz, Dan Raviv, Jinxin Lv, Qiang Li, Vincent Jaouen, Dimitris Visvikis, Constance Fourcade, Mathieu Rubeaux, Wentao Pan, Zhe Xu, Bailiang Jian, Francesca De Benetti, Marek Wodzinski, Niklas Gunnarsson, Huaqi Qiu, Zeju Li, Christoph Großbröhmer, Andrew Hoopes, Ingerid Reinertsen, Yiming Xiao, Bennett A. Landman, Yuankai Huo, Keelin Murphy, Bram van Ginneken, Adrian V. Dalca, Mattias P. Heinrich
Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning. CoRR (2021)
Wei Shao, Sulaiman Vesal, David S. Lim, Cynthia Li, Negar Golestani, Ahmed Alsinan, Richard E. Fan, Geoffrey A. Sonn, Mirabela Rusu
The Learn2Reg 2021 MICCAI Grand Challenge (PIMed Team). MIDOG/MOOD/Learn2Reg@MICCAI (2021)
Sulaiman Vesal, Mingxuan Gu, Ronak Kosti, Andreas Maier, Nishant Ravikumar
Adapt Everywhere: Unsupervised Adaptation of Point-Clouds and Entropy Minimisation for Multi-modal Cardiac Image Segmentation. CoRR (2021)
Xiahai Zhuang, Jiahang Xu, Xinzhe Luo, Chen Chen, Cheng Ouyang, Daniel Rueckert, Víctor M. Campello, Karim Lekadir, Sulaiman Vesal, Nishant Ravikumar, Yashu Liu, Gongning Luo, Jingkun Chen, Hongwei Li, Buntheng Ly, Maxime Sermesant, Holger Roth, Wentao Zhu, Jiexiang Wang, Xinghao Ding, Xinyue Wang, Sen Yang, Lei Li
Cardiac Segmentation on Late Gadolinium Enhancement MRI: A Benchmark Study from Multi-Sequence Cardiac MR Segmentation Challenge. CoRR (2020)
Faezeh Nejati Hatamian, Nishant Ravikumar, Sulaiman Vesal, Felix P. Kemeth, Matthias Struck, Andreas K. Maier
The Effect of Data Augmentation on Classification of Atrial Fibrillation in Short Single-Lead ECG Signals Using Deep Neural Networks. ICASSP (2020)
Jalil Ahmed, Sulaiman Vesal, Felix Durlak, Rainer Kärgel, Nishant Ravikumar, Martine Rémy-Jardin, Andreas K. Maier
COPD Classification in CT Images Using a 3D Convolutional Neural Network. CoRR (2020)
Zhaohan Xiong, Qing Xia, Zhiqiang Hu, Ning Huang, Cheng Bian, Yefeng Zheng, Sulaiman Vesal, Nishant Ravikumar, Andreas K. Maier, Xin Yang, Pheng-Ann Heng, Dong Ni, Caizi Li, Qianqian Tong, Weixin Si, Élodie Puybareau, Younes Khoudli, Thierry Géraud, Chen Chen, Wenjia Bai, Daniel Rueckert, Lingchao Xu, Xiahai Zhuang, Xinzhe Luo, Shuman Jia, Maxime Sermesant, Yashu Liu, Kuanquan Wang, Davide Borra, Alessandro Masci, Cristiana Corsi, Coen de Vente, Mitko Veta, Rashed Karim, Chandrakanth Jayachandran Preetha, Sandy Engelhardt, Mengyun Qiao, Yuanyuan Wang, Qian Tao, Marta Nuñez Garcia, Oscar Camara, Nicoló Savioli, Pablo Lamata, Jichao Zhao
A Global Benchmark of Algorithms for Segmenting Late Gadolinium-Enhanced Cardiac Magnetic Resonance Imaging. CoRR (2020)
Jalil Ahmed, Sulaiman Vesal, Felix Durlak, Rainer Kärgel, Nishant Ravikumar, Martine Rémy-Jardin, Andreas K. Maier
COPD Classification in CT Images Using a 3D Convolutional Neural Network. Bildverarbeitung für die Medizin (2020)
Faezeh Nejati Hatamian, Nishant Ravikumar, Sulaiman Vesal, Felix P. Kemeth, Matthias Struck, Andreas Maier
The Effect of Data Augmentation on Classification of Atrial Fibrillation in Short Single-Lead ECG Signals Using Deep Neural Networks. CoRR (2020)
Sulaiman Vesal, Andreas Maier, Nishant Ravikumar
Fully Automated 3D Cardiac MRI Localisation and Segmentation Using Deep Neural Networks. J. Imaging 6 (7) (2020)
Sulaiman Vesal, Mingxuan Gu, Andreas Maier, Nishant Ravikumar
Spatio-temporal Multi-task Learning for Cardiac MRI Left Ventricle Quantification. CoRR (2020)
Dominik Eckert, Sulaiman Vesal, Ludwig Ritschl, Steffen Kappler, Andreas K. Maier
Deep Learning-Based Denoising of Mammographic Images Using Physics-Driven Data Augmentation. Bildverarbeitung für die Medizin (2020)
Sulaiman Vesal, Nishant Ravikumar, Andreas K. Maier
A 2D dilated residual U-Net for multi-organ segmentation in thoracic CT. CoRR (2019)
Nicole Kaiser, Andreas Fieselmann, Sulaiman Vesal, Nishant Ravikumar, Ludwig Ritschl, Steffen Kappler, Andreas K. Maier
Mammographic breast density classification using a deep neural network: assessment on the basis of inter-observer variability. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2019)
Dominik Eckert, Sulaiman Vesal, Ludwig Ritschl, Steffen Kappler, Andreas K. Maier
Deep Learning-based Denoising of Mammographic Images using Physics-driven Data Augmentation. CoRR (2019)
Sulaiman Vesal, Nishant Ravikumar, Andreas K. Maier
Automated Multi-sequence Cardiac MRI Segmentation Using Supervised Domain Adaptation. CoRR (2019)
Sulaiman Vesal, Nishant Ravikumar, Andreas Maier
Automated Multi-sequence Cardiac MRI Segmentation Using Supervised Domain Adaptation. STACOM@MICCAI (2019)
Sulaiman Vesal, Nishant Ravikumar, Andreas K. Maier
A 2D dilated residual U-Net for multi-organ segmentation in thoracic CT. SegTHOR@ISBI (2019)
Lukas Folle, Sulaiman Vesal, Nishant Ravikumar, Andreas K. Maier
Dilated Deeply Supervised Networks for Hippocampus Segmentation in MRI. Bildverarbeitung für die Medizin (2019)
Lukas Folle, Sulaiman Vesal, Nishant Ravikumar, Andreas K. Maier
Dilated deeply supervised networks for hippocampus segmentation in MRI. CoRR (2019)
AmirAbbas Davari, Nikolaos Sakaltras, Armin Häberle, Sulaiman Vesal, Vincent Christlein, Andreas K. Maier, Christian Riess
Hyper-Hue and EMAP on Hyperspectral Images for Supervised Layer Decomposition of Old Master Drawings. ICIP (2018)
Sulaiman Vesal, Nishant Ravikumar, Andreas K. Maier
Dilated Convolutions in Neural Networks for Left Atrial Segmentation in 3D Gadolinium Enhanced-MRI. CoRR (2018)
AmirAbbas Davari, Nikolaos Sakaltras, Armin Häberle, Sulaiman Vesal, Vincent Christlein, Andreas K. Maier, Christian Riess
Hyper-Hue and EMAP on Hyperspectral Images for Supervised Layer Decomposition of Old Master Drawings. CoRR (2018)
Sulaiman Vesal, Shreyas Malakarjun Patil, Nishant Ravikumar, Andreas K. Maier
A Multi-task Framework for Skin Lesion Detection and Segmentation. OR 2.0/CARE/CLIP/ISIC@MICCAI (2018)
Sulaiman Vesal, Nishant Ravikumar, Andreas Maier
Dilated Convolutions in Neural Networks for Left Atrial Segmentation in 3D Gadolinium Enhanced-MRI. STACOM@MICCAI (2018)
Sulaiman Vesal, Nishant Ravikumar, Stephan Ellmann, Andreas K. Maier
Comparative Analysis of Unsupervised Algorithms for Breast MRI Lesion Segmentation. Bildverarbeitung für die Medizin (2018)
Sulaiman Vesal, Nishant Ravikumar, AmirAbbas Davari, Stephan Ellmann, Andreas K. Maier
Classification of breast cancer histology images using transfer learning. CoRR (2018)
Sulaiman Vesal, Nishant Ravikumar, Stephan Ellmann, Andreas K. Maier
Comparative Analysis of Unsupervised Algorithms for Breast MRI Lesion Segmentation. CoRR (2018)
Sulaiman Vesal, Shreyas Malakarjun Patil, Nishant Ravikumar, Andreas K. Maier
A Multi-task Framework for Skin Lesion Detection and Segmentation. CoRR (2018)
Sulaiman Vesal, Nishant Ravikumar, AmirAbbas Davari, Stephan Ellmann, Andreas K. Maier
Classification of Breast Cancer Histology Images Using Transfer Learning. ICIAR (2018)
Sulaiman Vesal, Nishant Ravikumar, Andreas K. Maier
SkinNet: A Deep Learning Framework for Skin Lesion Segmentation. CoRR (2018)
AmirAbbas Davari, Vincent Christlein, Sulaiman Vesal, Andreas K. Maier, Christian Riess
GMM Supervectors for Limited Training Data in Hyperspectral Remote Sensing Image Classification. CAIP (2) (2017)
Sulaiman Vesal, Andres Diaz-Pinto, Nishant Ravikumar, Stephan Ellmann, AmirAbbas Davari, Andreas K. Maier
Semi-Automatic Algorithm for Breast MRI Lesion Segmentation Using Marker-Controlled Watershed Transformation. CoRR (2017)