Manxi Lin

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All published works
Action Title Year Authors
+ PDF Chat Unsupervised Detection of Fetal Brain Anomalies using Denoising Diffusion Models 2024 Markus Ditlev Sjøgren Olsen
Jakob Ambsdorf
Manxi Lin
Caroline Taksøe‐Vester
Morten Bo Søndergaard Svendsen
Anders Nymark Christensen
Mads Nielsen
Martin G. Tolsgaard
Aasa Feragen
Paraskevas Pegios
+ PDF Chat Learning Semantic Image Quality for Fetal Ultrasound from Noisy Ranking Annotation 2024 Manxi Lin
Jakob Ambsdorf
Emilie Pi Fogtmann Sejer
Zahra Bashir
Chun Kit Wong
Paraskevas Pegios
Alberto Raheli
Morten Bo Søndergaard Svendsen
Mads Nielsen
Martin G. Tolsgaard
+ PDF Chat Incorporating Clinical Guidelines through Adapting Multi-modal Large Language Model for Prostate Cancer PI-RADS Scoring 2024 Tiantian Zhang
Manxi Lin
Hongda Guo
Xiaofan Zhang
Ka Fung Peter Chiu
Aasa Feragen
Qi Dou
+ PDF Chat Tri-modal Confluence with Temporal Dynamics for Scene Graph Generation in Operating Rooms 2024 Diandian Guo
Manxi Lin
Jialun Pei
He Tang
Yueming Jin
Pheng‐Ann Heng
+ PDF Chat Deployment of Deep Learning Model in Real World Clinical Setting: A Case Study in Obstetric Ultrasound 2024 Chun Kit Wong
Mary Kim Ngo
Manxi Lin
Zahra Bashir
Amihai Heen
Morten Bo Søndergaard Svendsen
Martin G. Tolsgaard
Anders Nymark Christensen
Aasa Feragen
+ PDF Chat Diffusion-based Iterative Counterfactual Explanations for Fetal Ultrasound Image Quality Assessment 2024 Paraskevas Pegios
Manxi Lin
Nina Weng
Morten Bo Søndergaard Svendsen
Zahra Bashir
Siavash Arjomand Bigdeli
Anders Nymark Christensen
Martin G. Tolsgaard
Aasa Feragen
+ PDF Chat Shortcut Learning in Medical Image Segmentation 2024 Manxi Lin
Nina Weng
Kamil Mikolaj
Zahra Bashir
Morten Bo Søndergaard Svendsen
Martin G. Tolsgaard
Anders Nymark Christensen
Aasa Feragen
+ PDF Chat S^2Former-OR: Single-Stage Bimodal Transformer for Scene Graph Generation in OR 2024 Jialun Pei
Diandian Guo
Jingyang Zhang
Manxi Lin
Yueming Jin
Pheng‐Ann Heng
+ PDF Chat Learning semantic image quality for fetal ultrasound from noisy ranking annotation 2024 Manxi Lin
Jakob Ambsdorf
Emilie Pi Fogtmann Sejer
Zahra Bashir
Chun Kit Wong
Paraskevas Pegios
Alberto Raheli
Morten Bo Søndergaard Svendsen
Mads Nielsen
Martin G. Tolsgaard
+ Removing confounding information from fetal ultrasound images 2023 Kamil Mikolaj
Manxi Lin
Zahra Bashir
Morten Bo Søndergaard Svendsen
Martin G. Tolsgaard
Anders Nymark
Aasa Feragen
+ An Automatic Guidance and Quality Assessment System for Doppler Imaging of Umbilical Artery 2023 Chun Kit Wong
Manxi Lin
Alberto Raheli
Zahra Bashir
Morten Bo Søndergaard Svendsen
Martin G. Tolsgaard
Aasa Feragen
Anders Nymark Christensen
+ PDF Chat DTU-Net: Learning Topological Similarity for Curvilinear Structure Segmentation 2023 Manxi Lin
Kilian Zepf
Anders Nymark Christensen
Zahra Bashir
Morten Bo Søndergaard Svendsen
Martin G. Tolsgaard
Aasa Feragen
+ PDF Chat DiffConv: Analyzing Irregular Point Clouds with an Irregular View 2022 Manxi Lin
Aasa Feragen
+ DTU-Net: Learning Topological Similarity for Curvilinear Structure Segmentation 2022 Manxi Lin
Zahra Bashir
Martin G. Tolsgaard
Anders Nymark Christensen
Aasa Feragen
+ I saw, I conceived, I concluded: Progressive Concepts as Bottlenecks 2022 Manxi Lin
Aasa Feragen
Zahra Bashir
Martin G. Tolsgaard
Anders Nymark Christensen
+ diffConv: Analyzing Irregular Point Clouds with an Irregular View 2021 Manxi Lin
Aasa Feragen
Common Coauthors
Commonly Cited References
Action Title Year Authors # of times referenced
+ PDF Chat Multi-view Convolutional Neural Networks for 3D Shape Recognition 2015 Hang Su
Subhransu Maji
Evangelos Kalogerakis
Erik Learned-Miller
1
+ PDF Chat Learning to Rank for Blind Image Quality Assessment 2015 Fei Gao
Dacheng Tao
Xinbo Gao
Xuelong Li
1
+ PDF Chat Deep Residual Learning for Image Recognition 2016 Kaiming He
Xiangyu Zhang
Shaoqing Ren
Jian Sun
1
+ PDF Chat A Convolutional Encoder Model for Neural Machine Translation 2017 Jonas Gehring
Michael Auli
David Grangier
Yann Dauphin
1
+ PDF Chat Squeeze-and-Excitation Networks 2018 Jie Hu
Li Shen
Gang Sun
1
+ PDF Chat A-CNN: Annularly Convolutional Neural Networks on Point Clouds 2019 Artem Komarichev
Zichun Zhong
Jing Hua
1
+ PDF Chat Escape from Cells: Deep Kd-Networks for the Recognition of 3D Point Cloud Models 2017 Roman Klokov
Victor Lempitsky
1
+ PDF Chat Mining Point Cloud Local Structures by Kernel Correlation and Graph Pooling 2018 Yiru Shen
Chen Feng
Yaoqing Yang
Dong Tian
1
+ PDF Chat Beyond the Pixel-Wise Loss for Topology-Aware Delineation 2018 Agata Mosinska
Pablo MĂĄrquez-Neila
Mateusz Koziński
Pascal Fua
1
+ PDF Chat Focal Loss for Dense Object Detection 2017 Tsung-Yi Lin
Priya Goyal
Ross Girshick
Kaiming He
Piotr DollĂĄr
1
+ PDF Chat Relation-Shape Convolutional Neural Network for Point Cloud Analysis 2019 Yongcheng Liu
Bin Fan
Shiming Xiang
Chunhong Pan
1
+ PDF Chat SO-Net: Self-Organizing Network for Point Cloud Analysis 2018 Jiaxin Li
Ben M. Chen
Gim Hee Lee
1
+ PDF Chat Local Spectral Graph Convolution for Point Set Feature Learning 2018 Chu Wang
Babak Samari
Kaleem Siddiqi
1
+ PDF Chat RankIQA: Learning from Rankings for No-Reference Image Quality Assessment 2017 Xialei Liu
Joost van de Weijer
Andrew D. Bagdanov
1
+ Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning 2015 Yarin Gal
Zoubin Ghahramani
1
+ PDF Chat A Topological Loss Function for Deep-Learning Based Image Segmentation Using Persistent Homology 2020 James R. Clough
Nick Byrne
İlkay Öksüz
Veronika A. Zimmer
Julia A. Schnabel
Andrew P. King
1
+ PDF Chat Dynamic Graph CNN for Learning on Point Clouds 2019 Yue Wang
Yongbin Sun
Ziwei Liu
Sanjay E. Sarma
Michael M. Bronstein
Justin Solomon
1
+ PDF Chat Revisiting Point Cloud Classification: A New Benchmark Dataset and Classification Model on Real-World Data 2019 Mikaela Angelina Uy
Quang-Hieu Pham
Binh‐Son Hua
Thanh Thi Nguyen
Sai-Kit Yeung
1
+ PDF Chat SoDeep: A Sorting Deep Net to Learn Ranking Loss Surrogates 2019 Martin Engilberge
Louis Chevallier
Patrick PĂŠrez
Matthieu Cord
1
+ PDF Chat DeepGCNs: Can GCNs Go As Deep As CNNs? 2019 Guohao Li
Matthias MĂźller
Ali Thabet
Bernard Ghanem
1
+ PDF Chat KPConv: Flexible and Deformable Convolution for Point Clouds 2019 Hugues Thomas
Charles R. Qi
Jean‐Emmanuel Deschaud
Beatriz Marcotegui
François Goulette
Leonidas Guibas
1
+ PDF Chat Toronto-3D: A Large-scale Mobile LiDAR Dataset for Semantic Segmentation of Urban Roadways 2020 Weikai Tan
Nannan Qin
Lingfei Ma
Ying Li
Jing Du
Guorong Cai
Ke Yang
Jonathan Li
1
+ PDF Chat IterNet: Retinal Image Segmentation Utilizing Structural Redundancy in Vessel Networks 2020 Liangzhi Li
Manisha Verma
Yuta Nakashima
Hajime Nagahara
Ryo Kawasaki
1
+ PDF Chat PointASNL: Robust Point Clouds Processing Using Nonlocal Neural Networks With Adaptive Sampling 2020 Yan Xu
Chaoda Zheng
Zhen Li
Sheng Wang
Shuguang Cui
1
+ PDF Chat TR-GAN: Topology Ranking GAN with Triplet Loss for Retinal Artery/Vein Classification 2020 Wenting Chen
Shuang Yu
Junde Wu
Kai Ma
Cheng Bian
Chunyan Chu
Linlin Shen
Yefeng Zheng
1
+ Rank consistent ordinal regression for neural networks with application to age estimation 2020 Wenzhi Cao
Vahid Mirjalili
Sebastian Raschka
1
+ PDF Chat A Closer Look at Local Aggregation Operators in Point Cloud Analysis 2020 Ze Liu
Han Hu
Yue Cao
Zheng Zhang
Xin Tong
1
+ PDF Chat PCT: Point cloud transformer 2021 Meng-Hao Guo
Jun-Xiong Cai
Zheng-Ning Liu
Tai‐Jiang Mu
Ralph R. Martin
Shi‐Min Hu
1
+ PDF Chat Walk in the Cloud: Learning Curves for Point Clouds Shape Analysis 2021 Tiange Xiang
Chaoyi Zhang
Yang Song
Jianhui Yu
Weidong Cai
1
+ PDF Chat PAConv: Position Adaptive Convolution with Dynamic Kernel Assembling on Point Clouds 2021 Mutian Xu
Runyu Ding
Hengshuang Zhao
Xiaojuan Qi
1
+ Learning Geometry-Disentangled Representation for Complementary Understanding of 3D Object Point Cloud 2021 Mutian Xu
Junhao Zhang
Zhipeng Zhou
Mingye Xu
Xiaojuan Qi
Yu Qiao
1
+ PDF Chat clDice - a Novel Topology-Preserving Loss Function for Tubular Structure Segmentation 2021 Suprosanna Shit
Johannes C. Paetzold
Anjany Sekuboyina
Ivan Ezhov
Alexander Unger
Andrey Zhylka
Josien P. W. Pluim
Ulrich Bauer
Bjoern Menze
1
+ PDF Chat Adaptive Graph Convolution for Point Cloud Analysis 2021 Haoran Zhou
Yidan Feng
Mingsheng Fang
Mingqiang Wei
Jing Qin
Tong LĂź
1
+ PDF Chat Fine-Grained Correlation Loss for Regression 2022 Chaoyu Chen
Xin Yang
Ruobing Huang
Xindi C. Hu
Yankai Huang
Xiduo Lu
Xinrui Zhou
Mingyuan Luo
Yinyu Ye
Xue Shuang
1
+ I saw, I conceived, I concluded: Progressive Concepts as Bottlenecks 2022 Manxi Lin
Aasa Feragen
Zahra Bashir
Martin G. Tolsgaard
Anders Nymark Christensen
1
+ PDF Chat Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks 2016 Shaoqing Ren
Kaiming He
Ross Girshick
Jian Sun
1