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Sulaiman Vesal
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2020 – today
- 2024
- [j8]Wei Shao
, Sulaiman Vesal
RAPHIA: A deep learning pipeline for the registration of MRI and whole-mount histopathology images of the prostate. Comput. Biol. Medicine 173: 108318 (2024) - [c20]Mingxuan Gu, Mareike Thies, Siyuan Mei, Fabian Wagner, Mingcheng Fan, Yipeng Sun, Zhaoya Pan, Sulaiman Vesal, Ronak Kosti, Dennis Possart, Jonas Utz, Andreas K. Maier:
Unsupervised Domain Adaptation Using Soft-Labeled Contrastive Learning with Reversed Monte Carlo Method for Cardiac Image Segmentation. MICCAI (9) 2024: 681-691 - [i23]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 abs/2406.12721 (2024) - 2023
- [j7]Alessa Hering
Learn2Reg: Comprehensive Multi-Task Medical Image Registration Challenge, Dataset and Evaluation in the Era of Deep Learning. IEEE Trans. Medical Imaging 42(3): 697-712 (2023) - [c19]Indrani Bhattacharya
MIC-CUSP: Multimodal Image Correlations for Ultrasound-Based Prostate Cancer Detection. ASMUS@MICCAI 2023: 121-131 - [c18]Cynthia Xinran Li, Indrani Bhattacharya
Improving Automated Prostate Cancer Detection and Classification Accuracy with Multi-scale Cancer Information. MLMI@MICCAI (1) 2023: 341-350 - [i22]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 abs/2312.05334 (2023) - 2022
- [j6]Xiahai Zhuang
Cardiac segmentation on late gadolinium enhancement MRI: A benchmark study from multi-sequence cardiac MR segmentation challenge. Medical Image Anal. 81: 102528 (2022) - [j5]Sulaiman Vesal
Domain generalization for prostate segmentation in transrectal ultrasound images: A multi-center study. Medical Image Anal. 82: 102620 (2022) - [c17]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: 20-25 - [i21]Mingxuan Gu, Sulaiman Vesal, Ronak Kosti, Andreas K. Maier:
Few-shot Unsupervised Domain Adaptation for Multi-modal Cardiac Image Segmentation. CoRR abs/2201.12386 (2022) - [i20]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 abs/2206.03888 (2022) - [i19]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 abs/2209.02126 (2022) - 2021
- [j4]Zhaohan Xiong
A global benchmark of algorithms for segmenting the left atrium from late gadolinium-enhanced cardiac magnetic resonance imaging. Medical Image Anal. 67: 101832 (2021) - [j3]Sulaiman Vesal
Spatio-Temporal Multi-Task Learning for Cardiac MRI Left Ventricle Quantification. IEEE J. Biomed. Health Informatics 25(7): 2698-2709 (2021) - [j2]Sulaiman Vesal
Adapt Everywhere: Unsupervised Adaptation of Point-Clouds and Entropy Minimization for Multi-Modal Cardiac Image Segmentation. IEEE Trans. Medical Imaging 40(7): 1838-1851 (2021) - [c16]Sarah Wallraff, Sulaiman Vesal, Christopher Syben, Rainer Lutz
Age Estimation on Panoramic Dental X-ray Images using Deep Learning. Bildverarbeitung für die Medizin 2021: 186-191 - [c15]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: 282-287 - [c14]Wei Shao
The Learn2Reg 2021 MICCAI Grand Challenge (PIMed Team). MIDOG/MOOD/Learn2Reg@MICCAI 2021: 168-173 - [i18]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 abs/2103.08219 (2021) - [i17]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 abs/2112.04489 (2021) - 2020
- [j1]Sulaiman Vesal
Fully Automated 3D Cardiac MRI Localisation and Segmentation Using Deep Neural Networks. J. Imaging 6(7): 65 (2020) - [c13]Jalil Ahmed, Sulaiman Vesal, Felix Durlak, Rainer Kärgel
COPD Classification in CT Images Using a 3D Convolutional Neural Network. Bildverarbeitung für die Medizin 2020: 39-45 - [c12]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: 94-100 - [c11]Faezeh Nejati Hatamian, Nishant Ravikumar
The Effect of Data Augmentation on Classification of Atrial Fibrillation in Short Single-Lead ECG Signals Using Deep Neural Networks. ICASSP 2020: 1264-1268 - [i16]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 abs/2001.01100 (2020) - [i15]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 abs/2002.02870 (2020) - [i14]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
A Global Benchmark of Algorithms for Segmenting Late Gadolinium-Enhanced Cardiac Magnetic Resonance Imaging. CoRR abs/2004.12314 (2020) - [i13]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
Cardiac Segmentation on Late Gadolinium Enhancement MRI: A Benchmark Study from Multi-Sequence Cardiac MR Segmentation Challenge. CoRR abs/2006.12434 (2020) - [i12]Sulaiman Vesal, Mingxuan Gu, Andreas Maier, Nishant Ravikumar:
Spatio-temporal Multi-task Learning for Cardiac MRI Left Ventricle Quantification. CoRR abs/2012.13364 (2020)
2010 – 2019
- 2019
- [c10]Lukas Folle
Dilated Deeply Supervised Networks for Hippocampus Segmentation in MRI. Bildverarbeitung für die Medizin 2019: 68-73 - [c9]Sulaiman Vesal, Nishant Ravikumar, Andreas K. Maier:
A 2D dilated residual U-Net for multi-organ segmentation in thoracic CT. SegTHOR@ISBI 2019 - [c8]Sulaiman Vesal, Nishant Ravikumar
Automated Multi-sequence Cardiac MRI Segmentation Using Supervised Domain Adaptation. STACOM@MICCAI 2019: 300-308 - [c7]Nicole Kaiser, Andreas Fieselmann, Sulaiman Vesal, Nishant Ravikumar
Mammographic breast density classification using a deep neural network: assessment on the basis of inter-observer variability. Image Perception, Observer Performance, and Technology Assessment 2019: 109520O - [i11]Lukas Folle, Sulaiman Vesal, Nishant Ravikumar, Andreas K. Maier:
Dilated deeply supervised networks for hippocampus segmentation in MRI. CoRR abs/1903.09097 (2019) - [i10]Sulaiman Vesal, Nishant Ravikumar, Andreas K. Maier:
A 2D dilated residual U-Net for multi-organ segmentation in thoracic CT. CoRR abs/1905.07710 (2019) - [i9]Sulaiman Vesal, Nishant Ravikumar, Andreas K. Maier:
Automated Multi-sequence Cardiac MRI Segmentation Using Supervised Domain Adaptation. CoRR abs/1908.07726 (2019) - [i8]Dominik Eckert, Sulaiman Vesal, Ludwig Ritschl, Steffen Kappler, Andreas K. Maier:
Deep Learning-based Denoising of Mammographic Images using Physics-driven Data Augmentation. CoRR abs/1912.05240 (2019) - 2018
- [c6]Sulaiman Vesal, Nishant Ravikumar
Comparative Analysis of Unsupervised Algorithms for Breast MRI Lesion Segmentation. Bildverarbeitung für die Medizin 2018: 257-262 - [c5]Sulaiman Vesal
Classification of Breast Cancer Histology Images Using Transfer Learning. ICIAR 2018: 812-819 - [c4]AmirAbbas Davari
Hyper-Hue and EMAP on Hyperspectral Images for Supervised Layer Decomposition of Old Master Drawings. ICIP 2018: 3683-3687 - [c3]Sulaiman Vesal
A Multi-task Framework for Skin Lesion Detection and Segmentation. OR 2.0/CARE/CLIP/ISIC@MICCAI 2018: 285-293 - [c2]Sulaiman Vesal, Nishant Ravikumar
Dilated Convolutions in Neural Networks for Left Atrial Segmentation in 3D Gadolinium Enhanced-MRI. STACOM@MICCAI 2018: 319-328 - [i7]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 abs/1801.09472 (2018) - [i6]Sulaiman Vesal, Nishant Ravikumar, Stephan Ellmann, Andreas K. Maier:
Comparative Analysis of Unsupervised Algorithms for Breast MRI Lesion Segmentation. CoRR abs/1802.08655 (2018) - [i5]Sulaiman Vesal, Nishant Ravikumar, AmirAbbas Davari, Stephan Ellmann, Andreas K. Maier:
Classification of breast cancer histology images using transfer learning. CoRR abs/1802.09424 (2018) - [i4]Sulaiman Vesal, Nishant Ravikumar, Andreas K. Maier:
SkinNet: A Deep Learning Framework for Skin Lesion Segmentation. CoRR abs/1806.09522 (2018) - [i3]Sulaiman Vesal, Nishant Ravikumar, Andreas K. Maier:
Dilated Convolutions in Neural Networks for Left Atrial Segmentation in 3D Gadolinium Enhanced-MRI. CoRR abs/1808.01673 (2018) - [i2]Sulaiman Vesal, Shreyas Malakarjun Patil, Nishant Ravikumar, Andreas K. Maier:
A Multi-task Framework for Skin Lesion Detection and Segmentation. CoRR abs/1808.01676 (2018) - 2017
- [c1]AmirAbbas Davari
GMM Supervectors for Limited Training Data in Hyperspectral Remote Sensing Image Classification. CAIP (2) 2017: 296-306 - [i1]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 abs/1712.05200 (2017)
Coauthor Index
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last updated on 2024-11-28 21:29 CET by the dblp team
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