Jennifer Alvén

18 papers B 1Journal 7Unranked 9
YearRankTypeTitle / Venue / Authors
2026 J jnl
Exemplar Diffusion: Improving Medical Object Detection with Opportunistic Labels.
CoRR
Victor Wåhlstrand Skärström, Jennifer Alvén, Ida Häggström
2025 — conf
Patch-Level Attribution of Multimodal Fracture Risk Prediction.
MLMI@MICCAI
Victor Wåhlstrand Skärström, Erik Blomqvist, Jennifer Alvén, Lisa Johansson, Mattias Lorentzon, Ida Häggström
2025 J jnl
RefTr: Recurrent Refinement of Confluent Trajectories for 3D Vascular Tree Centerline Graphs.
CoRR
Roman Naeem, David Hagerman, Jennifer Alvén, Fredrik Kahl
2025 — conf
Separable Tissue Representations for Attributable Risk Prediction.
MICCAI (14)
Victor Wåhlstrand Skärström, Jennifer Alvén, Lisa Johansson, Kristian Axelsson, Mattias Lorentzon, Ida Häggström
2025 — conf
Trexplorer Super: Topologically Correct Centerline Tree Tracking of Tubular Objects in CT Volumes.
MICCAI (8)
Roman Naeem, David Hagerman, Jennifer Alvén, Lennart Svensson, Fredrik Kahl
2025 J jnl
Trexplorer Super: Topologically Correct Centerline Tree Tracking of Tubular Objects in CT Volumes.
CoRR
Roman Naeem, David Hagerman, Jennifer Alvén, Lennart Svensson, Fredrik Kahl
2024 — conf
Explainable Vertebral Fracture Analysis with Uncertainty Estimation Using Differentiable Rule-Based Classification.
MICCAI (10)
Victor Wåhlstrand Skärström, Lisa Johansson, Jennifer Alvén, Mattias Lorentzon, Ida Häggström
2024 J jnl
Explainable vertebral fracture analysis with uncertainty estimation using differentiable rule-based classification.
CoRR
Victor Wåhlstrand Skärström, Lisa Johansson, Jennifer Alvén, Mattias Lorentzon, Ida Häggström
2023 — conf
Deep Nearest Neighbors for Anomaly Detection in Chest X-Rays.
MLMI@MICCAI (2)
Xixi Liu, Jennifer Alvén, Ida Häggström, Christopher Zach
2022 J jnl
Semi-supervised learning with natural language processing for right ventricle classification in echocardiography - a scalable approach.
Comput. Biol. Medicine
Eva Hagberg, David Hagerman, Richard Johansson, Nasser Hosseini, Jan Liu, Elin Björnsson, Jennifer Alvén, Ola Hjelmgren
2019 — conf
A Deep Learning Approach to MR-less Spatial Normalization for Tau PET Images.
MICCAI (2)
Jennifer Alvén, Kerstin Heurling, Ruben Smith, Olof Strandberg, Michael Schöll, Oskar Hansson, Fredrik Kahl
2019 J jnl
Shape-aware label fusion for multi-atlas frameworks.
Pattern Recognit. Lett.
Jennifer Alvén, Fredrik Kahl, Matilda Landgren, Viktor Larsson, Johannes Ulén, Olof Enqvist
2017 — conf
Max-Margin Learning of Deep Structured Models for Semantic Segmentation.
SCIA (2)
Måns Larsson, Jennifer Alvén, Fredrik Kahl
2017 — ch.
Multiatlas Segmentation Using Robust Feature-Based Registration.
Cloud-Based Benchmarking of Medical Image Analysis
Frida Fejne, Matilda Landgren, Jennifer Alvén, Johannes Ulén, Johan Fredriksson, Viktor Larsson, Olof Enqvist, Fredrik Kahl
2016 B conf
Shape-aware multi-atlas segmentation.
ICPR
Jennifer Alvén, Fredrik Kahl, Matilda Landgren, Viktor Larsson, Johannes Ulén
2016 J jnl
Überatlas: Fast and robust registration for multi-atlas segmentation.
Pattern Recognit. Lett.
Jennifer Alvén, Alexander Norlén, Olof Enqvist, Fredrik Kahl
2015 — conf
Good Features for Reliable Registration in Multi-Atlas Segmentation.
VISCERAL Challenge@ISBI
Fredrik Kahl, Jennifer Alvén, Olof Enqvist, Frida Fejne, Johannes Ulén, Johan Fredriksson, Matilda Landgren, Viktor Larsson
2015 — conf
Überatlas: Robust Speed-Up of Feature-Based Registration and Multi-Atlas Segmentation.
SCIA
Jennifer Alvén, Alexander Norlén, Olof Enqvist, Fredrik Kahl