Sulaiman Vesal

61 papers B 1Misc 1Journal 41Unranked 18

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	CORPGEN: Simulating Corporate Environments with Autonomous Digital Employees in Multi-Horizon Task Environments. CoRR Abubakarr Jaye, Nigel Boachie Kumankumah, Chidera Biringa, Anjel Shaileshbhai Patel, Sulaiman Vesal, Dayquan Julienne, Charlotte Siska, Manuel Raúl Meléndez Luján, Anthony Twum-Barimah, Mauricio Velazco, Tianwei Chen
2026	J	`jnl`	Fine-tuning Small Language Models as Efficient Enterprise Search Relevance Labelers. CoRR Yue Kang, Zhuoyi Huang, Benji Schussheim, Diana Licon, Dina Atia, Shixing Cao, Jacob Danovitch, Kunho Kim, Billy Norcilien, Jonah Karpman, Mahmound Sayed, Mike Taylor, Tao Sun, Pavel Metrikov, Vipul Agarwal, Chris Quirk, Ye-Yi Wang, Nick Craswell, Irene Shaffer, Tianwei Chen, Sulaiman Vesal, Soundar Srinivasan
2025	J	`jnl`	Benchmark Dataset Generation and Evaluation for Excel Formula Repair with LLMs. CoRR Ananya Singha, Harshita Sahijwani, Walt Williams, Emmanuel Aboah Boateng, Nick Hausman, Miguel Di Luca, Keegan Choudhury, Chaya Binet, Vu Le, Tianwei Chen, Oryan Rokeah Chen, Sulaiman Vesal, Sadid Hasan
2025	J	`jnl`	High-Fidelity Synthetic ECG Generation via Mel-Spectrogram Informed Diffusion Training. CoRR Zhuoyi Huang, Nutan Sahoo, Anamika Kumari, Girish Kumar, Kexuan Cai, Shixing Cao, Yue Kang, Tian Xia, Somya Chatterjee, Nick Hausman, Aidan Jay, Eric S. Rosenthal, Soundar Srinivasan, Sadid Hasan, Alex Fedorov, Sulaiman Vesal
2025	J	`jnl`	Learning ECG Representations via Poly-Window Contrastive Learning. CoRR Yi Yuan, Joseph Van Duyn, Runze Yan, Zhuoyi Huang, Sulaiman Vesal, Sergey M. Plis, Xiao Hu, Gloria Hyunjung Kwak, Ran Xiao, Alex Fedorov
2025	J	`jnl`	Multimodal MRI-Ultrasound AI for Prostate Cancer Detection Outperforms Radiologist MRI Interpretation: A Multi-Center Study. CoRR Hassan Jahanandish, Shengtian Sang, Cynthia Xinran Li, Sulaiman Vesal, Indrani Bhattacharya, Jeong Hoon Lee, Richard E. Fan, Geoffrey A. Sonn, Mirabela Rusu
2025	J	`jnl`	ProstAtlasDiff: Prostate cancer detection on MRI using Diffusion Probabilistic Models guided by population spatial cancer atlases. Medical Image Anal. Cynthia Xinran Li, Indrani Bhattacharya, Sulaiman Vesal, Pejman Ghanouni, Hassan Jahanandish, Richard E. Fan, Geoffrey A. Sonn, Mirabela Rusu
2025	J	`jnl`	Prostate-Specific Foundation Models for Enhanced Detection of Clinically Significant Cancer. CoRR Jeong Hoon Lee, Cynthia Xinran Li, Hassan Jahanandish, Indrani Bhattacharya, Sulaiman Vesal, Lichun Zhang, Shengtian Sang, Moon Hyung Choi, Simon John Christoph Soerensen, Steve Ran Zhou, Elijah Richard Sommer, Richard E. Fan, Pejman Ghanouni, Yuze Song, Tyler M. Seibert, Geoffrey A. Sonn, Mirabela Rusu
2025	J	`jnl`	Registration-Enhanced Segmentation Method for Prostate Cancer in Ultrasound Images. CoRR Shengtian Sang, Hassan Jahanandish, Cynthia Xinran Li, Indrani Bhattachary, Jeong Hoon Lee, Lichun Zhang, Sulaiman Vesal, Pejman Ghanouni, Richard E. Fan, Geoffrey A. Sonn, Mirabela Rusu
2024	J	`jnl`	Mask Enhanced Deeply Supervised Prostate Cancer Detection on B-mode Micro-Ultrasound. CoRR Lichun Zhang, Steve Ran Zhou, Moon Hyung Choi, Jeong Hoon Lee, Shengtian Sang, Adam Kinnaird, Wayne G. Brisbane, Giovanni Lughezzani, Davide Maffei, Vittorio Fasulo, Patrick Albers, Sulaiman Vesal, Wei Shao, Ahmed N. El Kaffas, Richard E. Fan, Geoffrey A. Sonn, Mirabela Rusu
2024	J	`jnl`	RAPHIA: A deep learning pipeline for the registration of MRI and whole-mount histopathology images of the prostate. Comput. Biol. Medicine 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
2024	J	`jnl`	Sound event detection based on auxiliary decoder and maximum probability aggregation for DCASE Challenge 2024 Task 4. CoRR Sang Won Son, Jongyeon Park, Hong Kook Kim, Sulaiman Vesal, Jeong Eun Lim
2024	—	`conf`	Unsupervised Domain Adaptation Using Soft-Labeled Contrastive Learning with Reversed Monte Carlo Method for Cardiac Image Segmentation. MICCAI (9) 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
2023	—	`conf`	Improving Automated Prostate Cancer Detection and Classification Accuracy with Multi-scale Cancer Information. MLMI@MICCAI (1) Cynthia Xinran Li, Indrani Bhattacharya, Sulaiman Vesal, Sara L. Saunders, Simon John Christoph Soerensen, Richard E. Fan, Geoffrey A. Sonn, Mirabela Rusu
2023	J	`jnl`	Learn2Reg: Comprehensive Multi-Task Medical Image Registration Challenge, Dataset and Evaluation in the Era of Deep Learning. IEEE Trans. Medical Imaging 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
2023	—	`conf`	MIC-CUSP: Multimodal Image Correlations for Ultrasound-Based Prostate Cancer Detection. ASMUS@MICCAI Indrani Bhattacharya, Sulaiman Vesal, Hassan Jahanandish, Moonhyung Choi, Steve Ran Zhou, Zachary Kornberg, Elijah Richard Sommer, Richard E. Fan, James D. Brooks, Geoffrey A. Sonn, Mirabela Rusu
2023	J	`jnl`	ProsDectNet: Bridging the Gap in Prostate Cancer Detection via Transrectal B-mode Ultrasound Imaging. CoRR 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
2022	J	`jnl`	Cardiac segmentation on late gadolinium enhancement MRI: A benchmark study from multi-sequence cardiac MR segmentation challenge. Medical Image Anal. 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
2022	J	`jnl`	ConFUDA: Contrastive Fewshot Unsupervised Domain Adaptation for Medical Image Segmentation. CoRR Mingxuan Gu, Sulaiman Vesal, Mareike Thies, Zhaoya Pan, Fabian Wagner, Mirabela Rusu, Andreas K. Maier, Ronak Kosti
2022	J	`jnl`	Domain Generalization for Prostate Segmentation in Transrectal Ultrasound Images: A Multi-center Study. CoRR 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
2022	J	`jnl`	Domain generalization for prostate segmentation in transrectal ultrasound images: A multi-center study. Medical Image Anal. 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
2022	—	`conf`	Few-shot Unsupervised Domain Adaptation for Multi-modal Cardiac Image Segmentation. Bildverarbeitung für die Medizin Mingxuan Gu, Sulaiman Vesal, Ronak Kosti, Andreas K. Maier
2022	J	`jnl`	Few-shot Unsupervised Domain Adaptation for Multi-modal Cardiac Image Segmentation. CoRR Mingxuan Gu, Sulaiman Vesal, Ronak Kosti, Andreas K. Maier
2021	J	`jnl`	A global benchmark of algorithms for segmenting the left atrium from late gadolinium-enhanced cardiac magnetic resonance imaging. Medical Image Anal. 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
2021	J	`jnl`	Adapt Everywhere: Unsupervised Adaptation of Point-Clouds and Entropy Minimisation for Multi-modal Cardiac Image Segmentation. CoRR Sulaiman Vesal, Mingxuan Gu, Ronak Kosti, Andreas Maier, Nishant Ravikumar
2021	J	`jnl`	Adapt Everywhere: Unsupervised Adaptation of Point-Clouds and Entropy Minimization for Multi-Modal Cardiac Image Segmentation. IEEE Trans. Medical Imaging Sulaiman Vesal, Mingxuan Gu, Ronak Kosti, Andreas Maier, Nishant Ravikumar
2021	—	`conf`	Age Estimation on Panoramic Dental X-ray Images using Deep Learning. Bildverarbeitung für die Medizin Sarah Wallraff, Sulaiman Vesal, Christopher Syben, Rainer Lutz, Andreas Maier
2021	J	`jnl`	Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning. CoRR 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
2021	J	`jnl`	Spatio-Temporal Multi-Task Learning for Cardiac MRI Left Ventricle Quantification. IEEE J. Biomed. Health Informatics Sulaiman Vesal, Mingxuan Gu, Andreas Maier, Nishant Ravikumar
2021	—	`conf`	The Learn2Reg 2021 MICCAI Grand Challenge (PIMed Team). MIDOG/MOOD/Learn2Reg@MICCAI Wei Shao, Sulaiman Vesal, David S. Lim, Cynthia Xinran Li, Negar Golestani, Ahmed Alsinan, Richard E. Fan, Geoffrey A. Sonn, Mirabela Rusu
2021	—	`conf`	Ultrasound Breast Lesion Detection using Extracted Attention Maps from a Weakly Supervised Convolutional Neural Network. Bildverarbeitung für die Medizin Dalia Rodríguez-Salas, Mathias Seuret, Sulaiman Vesal, Andreas Maier
2020	J	`jnl`	A Global Benchmark of Algorithms for Segmenting Late Gadolinium-Enhanced Cardiac Magnetic Resonance Imaging. CoRR 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
2020	—	`conf`	COPD Classification in CT Images Using a 3D Convolutional Neural Network. Bildverarbeitung für die Medizin Jalil Ahmed, Sulaiman Vesal, Felix Durlak, Rainer Kärgel, Nishant Ravikumar, Martine Rémy-Jardin, Andreas K. Maier
2020	J	`jnl`	COPD Classification in CT Images Using a 3D Convolutional Neural Network. CoRR Jalil Ahmed, Sulaiman Vesal, Felix Durlak, Rainer Kärgel, Nishant Ravikumar, Martine Rémy-Jardin, Andreas K. Maier
2020	J	`jnl`	Cardiac Segmentation on Late Gadolinium Enhancement MRI: A Benchmark Study from Multi-Sequence Cardiac MR Segmentation Challenge. CoRR 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
2020	—	`conf`	Deep Learning-Based Denoising of Mammographic Images Using Physics-Driven Data Augmentation. Bildverarbeitung für die Medizin Dominik Eckert, Sulaiman Vesal, Ludwig Ritschl, Steffen Kappler, Andreas K. Maier
2020	J	`jnl`	Fully Automated 3D Cardiac MRI Localisation and Segmentation Using Deep Neural Networks. J. Imaging Sulaiman Vesal, Andreas Maier, Nishant Ravikumar
2020	J	`jnl`	Spatio-temporal Multi-task Learning for Cardiac MRI Left Ventricle Quantification. CoRR Sulaiman Vesal, Mingxuan Gu, Andreas Maier, Nishant Ravikumar
2020	Misc	`conf`	The Effect of Data Augmentation on Classification of Atrial Fibrillation in Short Single-Lead ECG Signals Using Deep Neural Networks. ICASSP Faezeh Nejati Hatamian, Nishant Ravikumar, Sulaiman Vesal, Felix P. Kemeth, Matthias Struck, Andreas K. Maier
2020	J	`jnl`	The Effect of Data Augmentation on Classification of Atrial Fibrillation in Short Single-Lead ECG Signals Using Deep Neural Networks. CoRR Faezeh Nejati Hatamian, Nishant Ravikumar, Sulaiman Vesal, Felix P. Kemeth, Matthias Struck, Andreas Maier
2019	—	`conf`	A 2D dilated residual U-Net for multi-organ segmentation in thoracic CT. SegTHOR@ISBI Sulaiman Vesal, Nishant Ravikumar, Andreas K. Maier
2019	J	`jnl`	A 2D dilated residual U-Net for multi-organ segmentation in thoracic CT. CoRR Sulaiman Vesal, Nishant Ravikumar, Andreas K. Maier
2019	—	`conf`	Automated Multi-sequence Cardiac MRI Segmentation Using Supervised Domain Adaptation. STACOM@MICCAI Sulaiman Vesal, Nishant Ravikumar, Andreas Maier
2019	J	`jnl`	Automated Multi-sequence Cardiac MRI Segmentation Using Supervised Domain Adaptation. CoRR Sulaiman Vesal, Nishant Ravikumar, Andreas K. Maier
2019	J	`jnl`	Deep Learning-based Denoising of Mammographic Images using Physics-driven Data Augmentation. CoRR Dominik Eckert, Sulaiman Vesal, Ludwig Ritschl, Steffen Kappler, Andreas K. Maier
2019	—	`conf`	Dilated Deeply Supervised Networks for Hippocampus Segmentation in MRI. Bildverarbeitung für die Medizin Lukas Folle, Sulaiman Vesal, Nishant Ravikumar, Andreas K. Maier
2019	J	`jnl`	Dilated deeply supervised networks for hippocampus segmentation in MRI. CoRR Lukas Folle, Sulaiman Vesal, Nishant Ravikumar, Andreas K. Maier
2019	—	`conf`	Mammographic breast density classification using a deep neural network: assessment on the basis of inter-observer variability. Image Perception, Observer Performance, and Technology Assessment Nicole Kaiser, Andreas Fieselmann, Sulaiman Vesal, Nishant Ravikumar, Ludwig Ritschl, Steffen Kappler, Andreas K. Maier
2018	—	`conf`	A Multi-task Framework for Skin Lesion Detection and Segmentation. OR 2.0/CARE/CLIP/ISIC@MICCAI Sulaiman Vesal, Shreyas Malakarjun Patil, Nishant Ravikumar, Andreas K. Maier
2018	J	`jnl`	A Multi-task Framework for Skin Lesion Detection and Segmentation. CoRR Sulaiman Vesal, Shreyas Malakarjun Patil, Nishant Ravikumar, Andreas K. Maier
2018	—	`conf`	Classification of Breast Cancer Histology Images Using Transfer Learning. ICIAR Sulaiman Vesal, Nishant Ravikumar, AmirAbbas Davari, Stephan Ellmann, Andreas K. Maier
2018	J	`jnl`	Classification of breast cancer histology images using transfer learning. CoRR Sulaiman Vesal, Nishant Ravikumar, AmirAbbas Davari, Stephan Ellmann, Andreas K. Maier
2018	—	`conf`	Comparative Analysis of Unsupervised Algorithms for Breast MRI Lesion Segmentation. Bildverarbeitung für die Medizin Sulaiman Vesal, Nishant Ravikumar, Stephan Ellmann, Andreas K. Maier
2018	J	`jnl`	Comparative Analysis of Unsupervised Algorithms for Breast MRI Lesion Segmentation. CoRR Sulaiman Vesal, Nishant Ravikumar, Stephan Ellmann, Andreas K. Maier
2018	—	`conf`	Dilated Convolutions in Neural Networks for Left Atrial Segmentation in 3D Gadolinium Enhanced-MRI. STACOM@MICCAI Sulaiman Vesal, Nishant Ravikumar, Andreas Maier
2018	J	`jnl`	Dilated Convolutions in Neural Networks for Left Atrial Segmentation in 3D Gadolinium Enhanced-MRI. CoRR Sulaiman Vesal, Nishant Ravikumar, Andreas K. Maier
2018	B	`conf`	Hyper-Hue and EMAP on Hyperspectral Images for Supervised Layer Decomposition of Old Master Drawings. ICIP AmirAbbas Davari, Nikolaos Sakaltras, Armin Häberle, Sulaiman Vesal, Vincent Christlein, Andreas K. Maier, Christian Riess
2018	J	`jnl`	Hyper-Hue and EMAP on Hyperspectral Images for Supervised Layer Decomposition of Old Master Drawings. CoRR AmirAbbas Davari, Nikolaos Sakaltras, Armin Häberle, Sulaiman Vesal, Vincent Christlein, Andreas K. Maier, Christian Riess
2018	J	`jnl`	SkinNet: A Deep Learning Framework for Skin Lesion Segmentation. CoRR Sulaiman Vesal, Nishant Ravikumar, Andreas K. Maier
2017	—	`conf`	GMM Supervectors for Limited Training Data in Hyperspectral Remote Sensing Image Classification. CAIP (2) AmirAbbas Davari, Vincent Christlein, Sulaiman Vesal, Andreas K. Maier, Christian Riess
2017	J	`jnl`	Semi-Automatic Algorithm for Breast MRI Lesion Segmentation Using Marker-Controlled Watershed Transformation. CoRR Sulaiman Vesal, Andres Diaz-Pinto, Nishant Ravikumar, Stephan Ellmann, AmirAbbas Davari, Andreas K. Maier