3D active shape models of human brain structures: application to patient-specific mesh generation. - Nishant Ravikumar; Isaac Castro-Mateos; Jose M. Pozo; Alejandro F. Frangi; Zeike A. Taylor (Computer-Aided Diagnosis, 2015)

Reconstruction of Coronary Artery Centrelines from X-Ray Angiography Using a Mixture of Student's t-Distributions. - Serkan Çimen; Ali Gooya; Nishant Ravikumar; Zeike A. Taylor; Alejandro F. Frangi (MICCAI (3), 2016)

A Multi-resolution T-Mixture Model Approach to Robust Group-Wise Alignment of Shapes. - Nishant Ravikumar; Ali Gooya; Serkan Çimen; Alejandro F. Frangi; Zeike A. Taylor (MICCAI (3), 2016)

Robust group-wise rigid registration of point sets using t-mixture model. - Nishant Ravikumar; Ali Gooya; Alejandro F. Frangi; Zeike A. Taylor (Image Processing, 2016)

Generalised Coherent Point Drift for Group-Wise Registration of Multi-dimensional Point Sets. - Nishant Ravikumar; Ali Gooya; Alejandro F. Frangi; Zeike A. Taylor (MICCAI (1), 2017)

Frangi-Net: A Neural Network Approach to Vessel Segmentation. - Weilin Fu; Katharina Breininger; Tobias Würfl; Nishant Ravikumar; Roman Schaffert; Andreas K. Maier (CoRR, 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)

Preliminary Study Investigating Brain Shift Compensation using 3D CBCT Cerebral Vascular Images. - Siming Bayer; Roman Schaffert; Nishant Ravikumar; Andreas K. Maier; Xiaodong Tong; Hu Wang; Martin Ostermeier; Rebecca Fahrig (Bildverarbeitung für die Medizin, 2018)

Frangi-Net. - Weilin Fu; Katharina Breininger; Roman Schaffert; Nishant Ravikumar; Tobias Würfl; Jim Fujimoto; Eric Moult; Andreas K. Maier (Bildverarbeitung für die Medizin, 2018)

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)

Intraoperative Brain Shift Compensation Using a Hybrid Mixture Model. - Siming Bayer; Nishant Ravikumar; Maddalena Strumia; Xiaoguang Tong; Ying Gao; Martin Ostermeier; Rebecca Fahrig; Andreas K. Maier (MICCAI (4), 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)

Resolve Intraoperative Brain Shift as Imitation Game. - Xia Zhong; Siming Bayer; Nishant Ravikumar; Norbert Strobel; Annette Birkhold; Markus Kowarschik; Rebecca Fahrig; Andreas K. Maier (POCUS/BIVPCS/CuRIOUS/CPM@MICCAI, 2018)

Action Learning for 3D Point Cloud Based Organ Segmentation. - Xia Zhong; Mario Amrehn; Nishant Ravikumar; Shuqing Chen; Norbert Strobel; Annette Birkhold; Markus Kowarschik; Rebecca Fahrig; Andreas K. Maier (CoRR, 2018)

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

Range Imaging for Motion Compensation in C-Arm Cone-Beam CT of Knees under Weight-Bearing Conditions. - Bastian Bier; Nishant Ravikumar; Mathias Unberath; Marc E. Levenston; Garry Gold; Rebecca Fahrig; Andreas K. Maier (J. Imaging, 2018)

Group-wise similarity registration of point sets using Student's t-mixture model for statistical shape models. - Nishant Ravikumar; Ali Gooya; Serkan Çimen; Alejandro F. Frangi; Zeike A. Taylor (Medical Image Anal., 2018)

ForestNet - Automatic Design of Sparse Multilayer Perceptron Network Architectures Using Ensembles of Randomized Trees. - Dalia Rodríguez-Salas; Nishant Ravikumar; Mathias Seuret; Andreas Maier 001 (ACPR (1), 2019)

Semi-Automatic Cell Correspondence Analysis Using Iterative Point Cloud Registration. - Shuqing Chen; Simone Gehrer; Sara Kaliman; Nishant Ravikumar; Abdurrahman Becit; Maryam Aliee; Diana Dudziak; Rudolf Merkel; Ana-Suncana Smith; Andreas K. Maier (Bildverarbeitung für die Medizin, 2019)

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

Maximum Likelihood Estimation of Head Motion Using Epipolar Consistency. - Alexander Preuhs; Nishant Ravikumar; Michael Manhart 001; Bernhard Stimpel; Elisabeth Hoppe; Christopher Syben; Markus Kowarschik; Andreas K. Maier (Bildverarbeitung für die Medizin, 2019)

Detection of Unseen Low-Contrast Signals Using Classic and Novel Model Observers. - Yiling Xu; Frank Schebesch; Nishant Ravikumar; Andreas K. Maier (Bildverarbeitung für die Medizin, 2019)

Pediatric Patient Surface Model Atlas Generation and X-Ray Skin Dose Estimation. - Xia Zhong; Philipp Roser; Siming Bayer; Nishant Ravikumar; Norbert Strobel; Annette Birkhold; Tim Horz; Markus Kowarschik; Rebecca Fahrig; 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)

Coronary Artery Plaque Characterization from CCTA Scans Using Deep Learning and Radiomics. - Felix Denzinger; Michael Wels; Nishant Ravikumar; Katharina Breininger; Anika Reidelshöfer; Joachim Eckert; Michael Sühling; Axel Schmermund; Andreas Maier 001 (MICCAI (4), 2019)

A Divide-and-Conquer Approach Towards Understanding Deep Networks. - Weilin Fu; Katharina Breininger; Roman Schaffert; Nishant Ravikumar; Andreas K. Maier (MICCAI (1), 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)

Registration of vascular structures using a hybrid mixture model. - Siming Bayer; Zhiwei Zhai; Maddalena Strumia; Xiaoguang Tong; Ying Gao; Marius Staring; Berend C. Stoel; Rebecca Fahrig; Arya Nabavi; Andreas Maier 001; Nishant Ravikumar (Int. J. Comput. Assist. Radiol. Surg., 2019)

Analyzing an Imitation Learning Network for Fundus Image Registration Using a Divide-and-Conquer Approach. - Siming Bayer; Xia Zhong; Weilin Fu; Nishant Ravikumar; Andreas Maier 001 (CoRR, 2019)

Generalised coherent point drift for group-wise multi-dimensional analysis of diffusion brain MRI data. - Nishant Ravikumar; Ali Gooya; Leandro Beltrachini; Alejandro F. Frangi; Zeike A. Taylor (Medical Image Anal., 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)

Imitation Learning Network for Fundus Image Registration Using a Divide-And-Conquer Approach. - Siming Bayer; Xia Zhong; Weilin Fu; Nishant Ravikumar; Andreas K. Maier (Bildverarbeitung für die Medizin, 2020)

Abstract: Divide-And-Conquer Approach Towards Understanding Deep Networks. - Weilin Fu; Katharina Breininger; Roman Schaffert; Nishant Ravikumar; 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)

Federated Simulation for Medical Imaging. - Daiqing Li; Amlan Kar; Nishant Ravikumar; Alejandro F. Frangi; Sanja Fidler (MICCAI (1), 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)

Partially Conditioned Generative Adversarial Networks. - Francisco Javier Ibarrola; Nishant Ravikumar; Alejandro F. Frangi (CoRR, 2020)

Fed-Sim: Federated Simulation for Medical Imaging. - Daiqing Li; Amlan Kar; Nishant Ravikumar; Alejandro F. Frangi; Sanja Fidler (CoRR, 2020)

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

Mapping Ensembles of Trees to Sparse, Interpretable Multilayer Perceptron Networks. - Dalia Rodríguez-Salas; Nina Mürschberger; Nishant Ravikumar; Mathias Seuret; Andreas Maier 001 (SN Comput. Sci., 2020)

The Pitfalls of Using Open Data to Develop Deep Learning Solutions for COVID-19 Detection in Chest X-Rays. - Rachael Harkness; Geoff Hall; Alejandro F. Frangi; Nishant Ravikumar; Kieran Zucker (MedInfo, 2021)

Image-Derived Phenotype Extraction for Genetic Discovery via Unsupervised Deep Learning in CMR Images. - Rodrigo Bonazzola; Nishant Ravikumar; Rahman Attar; Enzo Ferrante; Tanveer F. Syeda-Mahmood; Alejandro F. Frangi (MICCAI (5), 2021)

Assessing Domain Adaptation Techniques for Mitosis Detection in Multi-scanner Breast Cancer Histopathology Images. - Jack Breen; Kieran Zucker; Nicolas M. Orsi; Nishant Ravikumar (MIDOG/MOOD/Learn2Reg@MICCAI, 2021)

A Deep Discontinuity-Preserving Image Registration Network. - Xiang Chen 008; Yan Xia 002; Nishant Ravikumar; Alejandro F. Frangi (MICCAI (4), 2021)

Statistical Dependency Guided Contrastive Learning for Multiple Labeling in Prenatal Ultrasound. - Shuangchi He; Zehui Lin; Xin Yang 009; Chaoyu Chen; Jian Wang 099; Xue Shuang; Ziwei Deng; Qin Liu; Yan Cao 002; Xiduo Lu; Ruobing Huang; Nishant Ravikumar; et al. (MLMI@MICCAI, 2021)

Flip Learning: Erase to Segment. - Yuhao Huang 001; Xin Yang 009; Yuxin Zou; Chaoyu Chen; Jian Wang 099; Haoran Dou; Nishant Ravikumar; Alejandro F. Frangi; Jianqiao Zhou; Dong Ni 001 (MICCAI (1), 2021)

Style Curriculum Learning for Robust Medical Image Segmentation. - Zhendong Liu; Manh The Van; Xin Yang 009; Xiaoqiong Huang; Karim Lekadir; Víctor M. Campello; Nishant Ravikumar; Alejandro F. Frangi; Dong Ni 001 (MICCAI (1), 2021)

Self Context and Shape Prior for Sensorless Freehand 3D Ultrasound Reconstruction. - Mingyuan Luo; Xin Yang 009; Xiaoqiong Huang; Yuhao Huang 001; Yuxin Zou; Xindi Hu; Nishant Ravikumar; Alejandro F. Frangi; Dong Ni 001 (MICCAI (6), 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)

CAR-Net: Unsupervised Co-Attention Guided Registration Network for Joint Registration and Structure Learning. - Xiang Chen 008; Yan Xia 002; Nishant Ravikumar; Alejandro F. Frangi (CoRR, 2021)

Assessing domain adaptation techniques for mitosis detection in multi-scanner breast cancer histopathology images. - Jack Breen; Kieran Zucker; Nicolas M. Orsi; Geoff Hall; Nishant Ravikumar (CoRR, 2021)

Shape registration with learned deformations for 3D shape reconstruction from sparse and incomplete point clouds. - Xiang Chen 008; Nishant Ravikumar; Yan Xia 002; Rahman Attar; Andres Diaz-Pinto; Stefan K. Piechnik; Stefan Neubauer; Steffen E. Petersen; Alejandro F. Frangi (Medical Image Anal., 2021)

Super-Resolution of Cardiac MR Cine Imaging using Conditional GANs and Unsupervised Transfer Learning. - Yan Xia 002; Nishant Ravikumar; John P. Greenwood; Stefan Neubauer; Steffen E. Petersen; Alejandro F. Frangi (Medical Image Anal., 2021)

Recovering from missing data in population imaging - Cardiac MR image imputation via conditional generative adversarial nets. - Yan Xia 002; Le Zhang 005; Nishant Ravikumar; Rahman Attar; Stefan K. Piechnik; Stefan Neubauer; Steffen E. Petersen; Alejandro F. Frangi (Medical Image Anal., 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)

Epistemic Uncertainty-Weighted Loss for Visual Bias Mitigation. - Rebecca S. Stone; Nishant Ravikumar; Andrew J. Bulpitt; David C. Hogg (CVPR Workshops, 2022)

Localizing the Recurrent Laryngeal Nerve via Ultrasound with a Bayesian Shape Framework. - Haoran Dou; Luyi Han; Yushuang He; Jun Xu 005; Nishant Ravikumar; Ritse Mann; Alejandro F. Frangi; Pew-Thian Yap; Yunzhi Huang (MICCAI (4), 2022)

Agent with Tangent-Based Formulation and Anatomical Perception for Standard Plane Localization in 3D Ultrasound. - Yuxin Zou; Haoran Dou; Yuhao Huang 001; Xin Yang 009; Jikuan Qian; Chaojiong Zhen; Xiaodan Ji; Nishant Ravikumar; Guoqiang Chen; Weijun Huang; Alejandro F. Frangi; Dong Ni 001 (MICCAI (4), 2022)

A Generative Framework for Predicting Myocardial Strain from Cine-Cardiac Magnetic Resonance Imaging. - Nina Cheng; Rodrigo Bonazzola; Nishant Ravikumar; Alejandro F. Frangi (MIUA, 2022)

Predicting Myocardial Infarction Using Retinal OCT Imaging. - Cynthia Maldonado García; Rodrigo Bonazzola; Nishant Ravikumar; Alejandro F. Frangi (MIUA, 2022)

Mitosis domain generalization in histopathology images - The MIDOG challenge. - Marc Aubreville; Nikolas Stathonikos; Christof A. Bertram; Robert Klopfleisch; Natalie D. ter Hoeve; Francesco Ciompi; Frauke Wilm; Christian Marzahl; Taryn A. Donovan; Andreas K. Maier; Jack Breen; Nishant Ravikumar; et al. (CoRR, 2022)

A Generative Shape Compositional Framework: Towards Representative Populations of Virtual Heart Chimaeras. - Haoran Dou; Seppo Virtanen; Nishant Ravikumar; Alejandro F. Frangi (CoRR, 2022)

Joint segmentation and discontinuity-preserving deformable registration: Application to cardiac cine-MR images. - Xiang Chen 008; Yan Xia 002; Nishant Ravikumar; Alejandro F. Frangi (CoRR, 2022)

Three-dimensional micro-structurally informed in silico myocardium - Towards virtual imaging trials in cardiac diffusion weighted MRI. - Mojtaba Lashgari; Nishant Ravikumar; Irvin Teh; Jing-Rebecca Li; David L. Buckley; Jürgen E. Schneider; Alejandro F. Frangi (Medical Image Anal., 2022)

Automatic 3D+t four-chamber CMR quantification of the UK biobank: integrating imaging and non-imaging data priors at scale. - Yan Xia 002; Xiang Chen 008; Nishant Ravikumar; Christopher Kelly; Rahman Attar; Nay Aung; Stefan Neubauer; Steffen E. Petersen; Alejandro F. Frangi (Medical Image Anal., 2022)

Learning to complete incomplete hearts for population analysis of cardiac MR images. - Yan Xia 002; Nishant Ravikumar; Alejandro F. Frangi (Medical Image Anal., 2022)

A probabilistic deep motion model for unsupervised cardiac shape anomaly assessment. - Arezoo Zakeri; Alireza Hokmabadi; Nishant Ravikumar; Alejandro F. Frangi; Ali Gooya (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)

Predicting myocardial infarction through retinal scans and minimal personal information. - Andres Diaz-Pinto; Nishant Ravikumar; Rahman Attar; Avan Suinesiaputra; Yitian Zhao; Eylem Levelt; Erica Dall' Armellina; Marco Lorenzi; Qingyu Chen 001; Tiarnan D. L. Keenan; Elvira Agrón; Emily Y. Chew; et al. (Nat. Mach. Intell., 2022)

Deep Physics-Informed Super-Resolution of Cardiac 4D-Flow MRI. - Fergus Shone; Nishant Ravikumar; Toni Lassila; Michael MacRaild; Yongxing Wang; Zeike A. Taylor; Peter K. Jimack; Erica Dall' Armellina; Alejandro F. Frangi (IPMI, 2023)

Learned Local Attention Maps for Synthesising Vessel Segmentations from T2 MRI. - Yash Deo; Rodrigo Bonazzola; Haoran Dou; Yan Xia 002; Tianyou Wei; Nishant Ravikumar; Alejandro F. Frangi; Toni Lassila (SASHIMI@MICCAI, 2023)

Shape-Guided Conditional Latent Diffusion Models for Synthesising Brain Vasculature. - Yash Deo; Haoran Dou; Nishant Ravikumar; Alejandro F. Frangi; Toni Lassila (DGM4MICCAI, 2023)

GSMorph: Gradient Surgery for Cine-MRI Cardiac Deformable Registration. - Haoran Dou; Ning Bi; Luyi Han; Yuhao Huang 001; Ritse Mann; Xin Yang 009; Dong Ni 001; Nishant Ravikumar; Alejandro F. Frangi; Yunzhi Huang (MICCAI (10), 2023)

A Conditional Flow Variational Autoencoder for Controllable Synthesis of Virtual Populations of Anatomy. - Haoran Dou; Nishant Ravikumar; Alejandro F. Frangi (MICCAI (7), 2023)

Adaptive Semi-supervised Segmentation of Brain Vessels with Ambiguous Labels. - Fengming Lin; Yan Xia 002; Nishant Ravikumar; Qiongyao Liu; Michael MacRaild; Alejandro F. Frangi (DALI@MICCAI, 2023)

Efficient subtyping of ovarian cancer histopathology whole slide images using active sampling in multiple instance learning. - Jack Breen; Katie Allen; Kieran Zucker; Geoff Hall; Nicolas M. Orsi; Nishant Ravikumar (Digital and Computational Pathology, 2023)

Learning disentangled representations for explainable chest x-ray classification using Dirichlet VAEs. - Rachael Harkness; Alejandro F. Frangi; Kieran Zucker; Nishant Ravikumar (Image Processing, 2023)

Unsupervised ensemble-based phenotyping helps enhance the discoverability of genes related to heart morphology. - Rodrigo Bonazzola; Enzo Ferrante; Nishant Ravikumar; Yan Xia 002; Bernard D. Keavney; Sven Plein; Tanveer F. Syeda-Mahmood; Alejandro F. Frangi (CoRR, 2023)

Artificial Intelligence in Ovarian Cancer Histopathology: A Systematic Review. - Jack Breen; Katie S. Allen; Kieran Zucker; Pratik Adusumilli; Andy Scarsbrook; Geoff Hall; Nicolas M. Orsi; Nishant Ravikumar (CoRR, 2023)

Generative Adversarial Networks for Stain Normalisation in Histopathology. - Jack Breen; Kieran Zucker; Katie Allen; Nishant Ravikumar; Nicolas M. Orsi (CoRR, 2023)

Learned Local Attention Maps for Synthesising Vessel Segmentations. - Yash Deo; Rodrigo Bonazzola; Haoran Dou; Yan Xia 002; Tianyou Wei; Nishant Ravikumar; Alejandro F. Frangi; Toni Lassila (CoRR, 2023)

Predicting Ovarian Cancer Treatment Response in Histopathology using Hierarchical Vision Transformers and Multiple Instance Learning. - Jack Breen; Katie Allen; Kieran Zucker; Geoff Hall; Nishant Ravikumar; Nicolas M. Orsi (CoRR, 2023)

Beyond Images: An Integrative Multi-modal Approach to Chest X-Ray Report Generation. - Nurbanu Aksoy; Serge Sharoff; Selcuk Baser; Nishant Ravikumar; Alejandro F. Frangi (CoRR, 2023)

Radiology Report Generation Using Transformers Conditioned with Non-imaging Data. - Nurbanu Aksoy; Nishant Ravikumar; Alejandro F. Frangi (CoRR, 2023)

Virtual high-resolution MR angiography from non-angiographic multi-contrast MRIs: synthetic vascular model populations for in-silico trials. - Yan Xia 002; Nishant Ravikumar; Toni Lassila; Alejandro F. Frangi (Medical Image Anal., 2023)

Mitosis domain generalization in histopathology images - The MIDOG challenge. - Marc Aubreville; Nikolas Stathonikos; Christof A. Bertram; Robert Klopfleisch; Natalie D. ter Hoeve; Francesco Ciompi; Frauke Wilm; Christian Marzahl; Taryn A. Donovan; Andreas K. Maier; Jack Breen; Nishant Ravikumar; et al. (Medical Image Anal., 2023)

RecON: Online learning for sensorless freehand 3D ultrasound reconstruction. - Mingyuan Luo; Xin Yang 009; Hongzhang Wang; Haoran Dou; Xindi Hu; Yuhao Huang 001; Nishant Ravikumar; Songcheng Xu; Yuanji Zhang; Yi Xiong 001; Wufeng Xue; Alejandro F. Frangi; et al. (Medical Image Anal., 2023)

High-throughput 3DRA segmentation of brain vasculature and aneurysms using deep learning. - Fengming Lin; Yan Xia 002; Shuang Song 005; Nishant Ravikumar; Alejandro F. Frangi (Comput. Methods Programs Biomed., 2023)

Putting the Segment Anything Model to the Test with 3D Knee MRI - A Comparison with State-of-the-Art Performance. - Oliver Mills; Nishant Ravikumar; Philip G. Conaghan; Samuel D. Relton (BMVC, 2024)

Enhancing Image-to-Text Generation in Radiology Reports through Cross-modal Multi-Task Learning. - Nurbanu Aksoy; Nishant Ravikumar; Serge Sharoff (LREC/COLING, 2024)

Reducing Histopathology Slide Magnification Improves the Accuracy and Speed of Ovarian Cancer Subtyping. - Jack Breen; Nishant Ravikumar; Katie Allen; Kieran Zucker; Nicolas M. Orsi (ISBI, 2024)

Synthesising 3D Cardiac CINE-MR Images and Corresponding Segmentation Masks using a Latent Diffusion Model. - Nina Cheng; Zhengji Liu; Yash Deo; Haoran Dou; Ning Bi; Kun Wu; Fengming Lin; Zeike A. Taylor; Nishant Ravikumar; Alejandro F. Frangi (ISBI, 2024)

Few-Shot Learning in Diffusion Models for Generating Cerebral Aneurysm Geometries. - Yash Deo; Fengming Lin; Haoran Dou; Nina Cheng; Nishant Ravikumar; Alejandro F. Frangi; Toni Lassila (ISBI, 2024)

Unsupervised Domain Adaptation for Brain Vessel Segmentation Through Transwarp Contrastive Learning. - Fengming Lin; Yan Xia 002; Yash Deo; Michael MacRaild; Haoran Dou; Qiongyao Liu; Kun Wu; Nishant Ravikumar; Alejandro F. Frangi (ISBI, 2024)

GS-EMA: Integrating Gradient Surgery Exponential Moving Average with Boundary-Aware Contrastive Learning for Enhanced Domain Generalization in Aneurysm Segmentation. - Fengming Lin; Yan Xia 002; Michael MacRaild; Yash Deo; Haoran Dou; Qiongyao Liu; Nina Cheng; Nishant Ravikumar; Alejandro F. Frangi (ISBI, 2024)

Multi-resolution Histopathology Patch Graphs for Ovarian Cancer Subtyping. - Jack Breen; Katie Allen; Kieran Zucker; Nicolas M. Orsi; Nishant Ravikumar (GRAIL@MICCAI, 2024)

Integrating Deep Learning with Fundus and Optical Coherence Tomography for Cardiovascular Disease Prediction. - Cynthia Maldonado García; Arezoo Zakeri; Alejandro F. Frangi; Nishant Ravikumar (PRIME@MICCAI, 2024)

Compressed sensing using a deep adaptive perceptual generative adversarial network for MRI reconstruction from undersampled K-space data. - Kun Wu; Yan Xia 002; Nishant Ravikumar; Alejandro F. Frangi (Biomed. Signal Process. Control., 2024)

Segmenting Cardiac Muscle Z-disks with Deep Neural Networks. - Mihaela Croitor Ibrahim; Nishant Ravikumar; Alistair Curd; Joanna M. Leng; Oliver Umney; Michelle Peckham (CoRR, 2024)

Predicting risk of cardiovascular disease using retinal OCT imaging. - Cynthia Maldonado García; Rodrigo Bonazzola; Enzo Ferrante; Thomas H. Julian; Panagiotis I Sergouniotis; Nishant Ravikumar; Alejandro F. Frangi (CoRR, 2024)

Histopathology Foundation Models Enable Accurate Ovarian Cancer Subtype Classification. - Jack Breen; Katie Allen; Kieran Zucker; Lucy Godson; Nicolas M. Orsi; Nishant Ravikumar (CoRR, 2024)

Unsupervised ensemble-based phenotyping enhances discoverability of genes related to left-ventricular morphology. - Rodrigo Bonazzola; Enzo Ferrante; Nishant Ravikumar; Yan Xia 002; Bernard D. Keavney; Sven Plein; Tanveer F. Syeda-Mahmood; Alejandro F. Frangi (Nat. Mac. Intell., 2024)

Development and External Validation of [18F]FDG PET-CT-Derived Radiomic Models for Prediction of Abdominal Aortic Aneurysm Growth Rate. - Simran Singh Dhesi; Pratik Adusumilli; Nishant Ravikumar; Mohammed A. Waduud; Russell Frood; Alejandro F. Frangi; Garry McDermott; James H. F. Rudd; Yuan Huang; Jonathan R. Boyle; Maysoon Elkhawad; David E. Newby; et al. (Algorithms, 2025)

Multi-view hybrid graph convolutional network for volume-to-mesh reconstruction in cardiovascular MRI. - Nicolás Gaggion; Benjamin A. Matheson; Yan Xia 002; Rodrigo Bonazzola; Nishant Ravikumar; Zeike A. Taylor; Diego H. Milone; Alejandro F. Frangi; Enzo Ferrante (Medical Image Anal., 2025)

A Generative Shape Compositional Framework to Synthesize Populations of Virtual Chimeras. - Haoran Dou; Seppo Virtanen; Nishant Ravikumar; Alejandro F. Frangi (IEEE Trans. Neural Networks Learn. Syst., 2025)

Can Diffusion Models Bridge the Domain Gap in Cardiac MR Imaging? - Xin Ci Wong; Duygu Sarikaya; Kieran Zucker; Marc De Kamps; Nishant Ravikumar (CoRR, 2025)