GMM Supervectors for Limited Training Data in Hyperspectral Remote Sensing Image Classification. - AmirAbbas Davari; Vincent Christlein; Sulaiman Vesal; Andreas K. Maier; Christian Riess (CAIP (2), 2017)

Semi-Automatic Algorithm for Breast MRI Lesion Segmentation Using Marker-Controlled Watershed Transformation. - Sulaiman Vesal; Andres Diaz-Pinto; Nishant Ravikumar; Stephan Ellmann; AmirAbbas Davari; Andreas K. Maier (CoRR, 2017)

Comparative Analysis of Unsupervised Algorithms for Breast MRI Lesion Segmentation. - Sulaiman Vesal; Nishant Ravikumar; Stephan Ellmann; Andreas K. Maier (Bildverarbeitung für die Medizin, 2018)

Classification of Breast Cancer Histology Images Using Transfer Learning. - Sulaiman Vesal; Nishant Ravikumar; AmirAbbas Davari; Stephan Ellmann; Andreas K. Maier (ICIAR, 2018)

Hyper-Hue and EMAP on Hyperspectral Images for Supervised Layer Decomposition of Old Master Drawings. - AmirAbbas Davari; Nikolaos Sakaltras; Armin Häberle; Sulaiman Vesal; Vincent Christlein; Andreas K. Maier; Christian Riess (ICIP, 2018)

A Multi-task Framework for Skin Lesion Detection and Segmentation. - Sulaiman Vesal; Shreyas Malakarjun Patil; Nishant Ravikumar; Andreas K. Maier (OR 2.0/CARE/CLIP/ISIC@MICCAI, 2018)

Dilated Convolutions in Neural Networks for Left Atrial Segmentation in 3D Gadolinium Enhanced-MRI. - Sulaiman Vesal; Nishant Ravikumar; Andreas Maier 001 (STACOM@MICCAI, 2018)

SkinNet: A Deep Learning Framework for Skin Lesion Segmentation. - Sulaiman Vesal; Nishant Ravikumar; Andreas K. Maier (CoRR, 2018)

Dilated Deeply Supervised Networks for Hippocampus Segmentation in MRI. - Lukas Folle; Sulaiman Vesal; Nishant Ravikumar; Andreas K. Maier (Bildverarbeitung für die Medizin, 2019)

A 2D dilated residual U-Net for multi-organ segmentation in thoracic CT. - Sulaiman Vesal; Nishant Ravikumar; Andreas K. Maier (SegTHOR@ISBI, 2019)

Automated Multi-sequence Cardiac MRI Segmentation Using Supervised Domain Adaptation. - Sulaiman Vesal; Nishant Ravikumar; Andreas Maier 001 (STACOM@MICCAI, 2019)

Mammographic breast density classification using a deep neural network: assessment on the basis of inter-observer variability. - Nicole Kaiser; Andreas Fieselmann; Sulaiman Vesal; Nishant Ravikumar; Ludwig Ritschl; Steffen Kappler; Andreas K. Maier (Image Perception, Observer Performance, and Technology Assessment, 2019)

COPD Classification in CT Images Using a 3D Convolutional Neural Network. - Jalil Ahmed; Sulaiman Vesal; Felix Durlak; Rainer Kärgel; Nishant Ravikumar; Martine Rémy-Jardin; Andreas K. Maier (Bildverarbeitung für die Medizin, 2020)

Deep Learning-Based Denoising of Mammographic Images Using Physics-Driven Data Augmentation. - Dominik Eckert; Sulaiman Vesal; Ludwig Ritschl; Steffen Kappler; Andreas K. Maier (Bildverarbeitung für die Medizin, 2020)

The Effect of Data Augmentation on Classification of Atrial Fibrillation in Short Single-Lead ECG Signals Using Deep Neural Networks. - Faezeh Nejati Hatamian; Nishant Ravikumar; Sulaiman Vesal; Felix P. Kemeth; Matthias Struck; Andreas K. Maier (ICASSP, 2020)

A Global Benchmark of Algorithms for Segmenting Late Gadolinium-Enhanced Cardiac Magnetic Resonance Imaging. - Zhaohan Xiong; Qing Xia 002; Zhiqiang Hu; Ning Huang; Cheng Bian; Yefeng Zheng 001; Sulaiman Vesal; Nishant Ravikumar; Andreas K. Maier; Xin Yang 009; Pheng-Ann Heng; Dong Ni 001; et al. (CoRR, 2020)

Fully Automated 3D Cardiac MRI Localisation and Segmentation Using Deep Neural Networks. - Sulaiman Vesal; Andreas Maier 001; Nishant Ravikumar (J. Imaging, 2020)

Ultrasound Breast Lesion Detection using Extracted Attention Maps from a Weakly Supervised Convolutional Neural Network. - Dalia Rodríguez-Salas; Mathias Seuret; Sulaiman Vesal; Andreas Maier 001 (Bildverarbeitung für die Medizin, 2021)

Age Estimation on Panoramic Dental X-ray Images using Deep Learning. - Sarah Wallraff; Sulaiman Vesal; Christopher Syben; Rainer Lutz 002; Andreas Maier 001 (Bildverarbeitung für die Medizin, 2021)

The Learn2Reg 2021 MICCAI Grand Challenge (PIMed Team). - Wei Shao 008; Sulaiman Vesal; David S. Lim; Cynthia Xinran Li; Negar Golestani; Ahmed Alsinan; Richard E. Fan; Geoffrey A. Sonn; Mirabela Rusu (MIDOG/MOOD/Learn2Reg@MICCAI, 2021)

Adapt Everywhere: Unsupervised Adaptation of Point-Clouds and Entropy Minimisation for Multi-modal Cardiac Image Segmentation. - Sulaiman Vesal; Mingxuan Gu; Ronak Kosti; Andreas Maier 001; Nishant Ravikumar (CoRR, 2021)

Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning. - Alessa Hering; Lasse Hansen; Tony C. W. Mok; Albert C. S. Chung; Hanna Siebert; Stephanie Häger; Annkristin Lange; Sven Kuckertz; Stefan Heldmann; Wei Shao 008; Sulaiman Vesal; Mirabela Rusu; et al. (CoRR, 2021)

A global benchmark of algorithms for segmenting the left atrium from late gadolinium-enhanced cardiac magnetic resonance imaging. - Zhaohan Xiong; Qing Xia 002; Zhiqiang Hu; Ning Huang; Cheng Bian; Yefeng Zheng 001; Sulaiman Vesal; Nishant Ravikumar; Andreas K. Maier; Xin Yang 009; Pheng-Ann Heng; Dong Ni 001; et al. (Medical Image Anal., 2021)

Spatio-Temporal Multi-Task Learning for Cardiac MRI Left Ventricle Quantification. - Sulaiman Vesal; Mingxuan Gu; Andreas Maier 001; Nishant Ravikumar (IEEE J. Biomed. Health Informatics, 2021)

Adapt Everywhere: Unsupervised Adaptation of Point-Clouds and Entropy Minimization for Multi-Modal Cardiac Image Segmentation. - Sulaiman Vesal; Mingxuan Gu; Ronak Kosti; Andreas Maier 001; Nishant Ravikumar (IEEE Trans. Medical Imaging, 2021)

Few-shot Unsupervised Domain Adaptation for Multi-modal Cardiac Image Segmentation. - Mingxuan Gu; Sulaiman Vesal; Ronak Kosti; Andreas K. Maier (Bildverarbeitung für die Medizin, 2022)

ConFUDA: Contrastive Fewshot Unsupervised Domain Adaptation for Medical Image Segmentation. - Mingxuan Gu; Sulaiman Vesal; Mareike Thies; Zhaoya Pan; Fabian Wagner; Mirabela Rusu; Andreas K. Maier; Ronak Kosti (CoRR, 2022)

Domain generalization for prostate segmentation in transrectal ultrasound images: A multi-center study. - 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 (Medical Image Anal., 2022)

Cardiac segmentation on late gadolinium enhancement MRI: A benchmark study from multi-sequence cardiac MR segmentation challenge. - Xiahai Zhuang; Jiahang Xu; Xinzhe Luo; Chen Chen 042; Cheng Ouyang; Daniel Rueckert; Víctor M. Campello; Karim Lekadir; Sulaiman Vesal; Nishant Ravikumar; Yashu Liu 003; Gongning Luo; et al. (Medical Image Anal., 2022)

MIC-CUSP: Multimodal Image Correlations for Ultrasound-Based Prostate Cancer Detection. - 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 (ASMUS@MICCAI, 2023)

Improving Automated Prostate Cancer Detection and Classification Accuracy with Multi-scale Cancer Information. - Cynthia Xinran Li; Indrani Bhattacharya; Sulaiman Vesal; Sara L. Saunders; Simon John Christoph Soerensen; Richard E. Fan; Geoffrey A. Sonn; Mirabela Rusu (MLMI@MICCAI (1), 2023)

ProsDectNet: Bridging the Gap in Prostate Cancer Detection via Transrectal B-mode Ultrasound Imaging. - 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 (CoRR, 2023)

Learn2Reg: Comprehensive Multi-Task Medical Image Registration Challenge, Dataset and Evaluation in the Era of Deep Learning. - Alessa Hering; Lasse Hansen; Tony C. W. Mok; Albert C. S. Chung; Hanna Siebert; Stephanie Häger; Annkristin Lange; Sven Kuckertz; Stefan Heldmann; Wei Shao 008; Sulaiman Vesal; Mirabela Rusu; et al. (IEEE Trans. Medical Imaging, 2023)

Unsupervised Domain Adaptation Using Soft-Labeled Contrastive Learning with Reversed Monte Carlo Method for Cardiac Image Segmentation. - 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 (MICCAI (9), 2024)

RAPHIA: A deep learning pipeline for the registration of MRI and whole-mount histopathology images of the prostate. - Wei Shao 008; 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 (Comput. Biol. Medicine, 2024)

Sound event detection based on auxiliary decoder and maximum probability aggregation for DCASE Challenge 2024 Task 4. - Sang Won Son; Jongyeon Park; Hong Kook Kim; Sulaiman Vesal; Jeong Eun Lim (CoRR, 2024)

Mask Enhanced Deeply Supervised Prostate Cancer Detection on B-mode Micro-Ultrasound. - Lichun Zhang; Steve Ran Zhou; Moon Hyung Choi; Jeong Hoon Lee 001; Shengtian Sang; Adam Kinnaird; Wayne G. Brisbane; Giovanni Lughezzani; Davide Maffei; Vittorio Fasulo; Patrick Albers; Sulaiman Vesal; et al. (CoRR, 2024)

ProstAtlasDiff: Prostate cancer detection on MRI using Diffusion Probabilistic Models guided by population spatial cancer atlases. - Cynthia Xinran Li; Indrani Bhattacharya; Sulaiman Vesal; Pejman Ghanouni; Hassan Jahanandish; Richard E. Fan; Geoffrey A. Sonn; Mirabela Rusu (Medical Image Anal., 2025)

Multimodal MRI-Ultrasound AI for Prostate Cancer Detection Outperforms Radiologist MRI Interpretation: A Multi-Center Study. - Hassan Jahanandish; Shengtian Sang; Cynthia Xinran Li; Sulaiman Vesal; Indrani Bhattacharya; Jeong Hoon Lee 001; Richard E. Fan; Geoffrey A. Sonn; Mirabela Rusu (CoRR, 2025)

Prostate-Specific Foundation Models for Enhanced Detection of Clinically Significant Cancer. - Jeong Hoon Lee 001; 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; et al. (CoRR, 2025)

Registration-Enhanced Segmentation Method for Prostate Cancer in Ultrasound Images. - Shengtian Sang; Hassan Jahanandish; Cynthia Xinran Li; Indrani Bhattachary; Jeong Hoon Lee 001; Lichun Zhang; Sulaiman Vesal; Pejman Ghanouni; Richard E. Fan; Geoffrey A. Sonn; Mirabela Rusu (CoRR, 2025)

Benchmark Dataset Generation and Evaluation for Excel Formula Repair with LLMs. - 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; et al. (CoRR, 2025)

Learning ECG Representations via Poly-Window Contrastive Learning. - Yi Yuan; Joseph Van Duyn; Runze Yan; Zhuoyi Huang; Sulaiman Vesal; Sergey M. Plis; Xiao Hu 002; Gloria Hyunjung Kwak; Ran Xiao; Alex Fedorov (CoRR, 2025)

High-Fidelity Synthetic ECG Generation via Mel-Spectrogram Informed Diffusion Training. - 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; et al. (CoRR, 2025)