Papers
Hide-and-Seek Attribution: Weakly Supervised Segmentation of Vertebral Metastases in CT
Matan Atad, Alexander W. Marka, Lisa Steinhelfer et al.
CatVLM: Enhancing Temporal Understanding in Cataract Surgery Videos with Boundary-Aware VLM
Jay N. Paranjape, Nisarg Shah, Nanthini Narayanan et al.
UltraG-Ray: Physics-Based Gaussian Ray Casting for Novel Ultrasound View Synthesis
Felix Duelmer, Jakob Klaushofer, Magdalena Wysocki et al.
nnLandmark: A Self-Configuring Method for 3D Medical Landmark Detection
Alexandra Ertl, Stefan Denner, Robin Peretzke et al.
CWCD: Category-Wise Contrastive Decoding for Structured Medical Report Generation
Shantam Srivastava, Mahesh Bhosale, David Doermann et al.
RandP: Effective and Efficient Medical Visual In-Context Learning via a Retrieve-and-Propagate Module for Prompt-Query Fusion
Rongge Mao, Han Li, Chengqi Dong et al.
WristMIR: Coarse-to-Fine Region-Aware Retrieval of Pediatric Wrist Radiographs with Radiology Report-Driven Learning
Mert Sonmezer, Serge Vasylechko, Duygu Atasoy et al.
ICL-NoiseUNet - A Novel In-Context Learning Based Framework For Ultrasound Segmentation With Adaptive Noise Modulation
Ioannis Charisiadis, Ilyass el Allali, Richard G. P. Lopata et al.
Brain Tumor Growth Inversion via Differentiable Neural Surrogates
Jonas Weidner, Lucas Zimmer, Ivan Ezhov et al.
Conditional Learned Reconstruction for Medical Imaging
Nikita Moriakov, George Yiasemis, Jan-Jakob Sonke et al.
TAP-CT: 3D Task-Agnostic Pretraining of Computed Tomography Foundation Models
Tim Veenboer, George Yiasemis, Eric Marcus et al.
Synthetic Vasculature and Pathology Enhance Vision-Language Model Reasoning
Chenjun Li, Cheng Wan, Laurin Lux et al.
FluenceFormer: Transformer-Driven Multi-Beam Fluence Map Regression for Radiotherapy Planning
Ujunwa Mgboh, Rafi Ibn Sultan, Joshua Kim et al.
Quantitative Pose-Based Analysis of Movement Disorders in Pediatric NGLY1 and SLC13A5 Patients
Chengliang Dai, Phil Scordis, Prathyusha Teeyagura et al.
UM–ProtoShare: UNet-Guided, Multi-scale Shared Prototypes for Interpretable Brain Tumour Classification Using Multi-sequence 3D MRI
Ali Golbaf, Vivek Singh, Swen Gaudl et al.
Topological-Aware Regularization for Semi-Supervised Intracranial Aneurysm Vessel Segmentation
Feiyang Xiao, Yichi Zhang, Xigui Li et al.
Vector Quantization for Reversed Disease Progression: Further Investigations
Chih-Chieh Chen, Chang-Fu Kuo
OmniNet: A Multi-Modality Neural Network for Robust Remote Respiratory Rate Measurement from Facial Video
Tsai-Ni Lin, An-Sheng Liu, Li-Chen Fu
StainNet: Scaling Self-Supervised Foundation Models on Immunohistochemistry and Special Stains for Computational Pathology
Jiawen Li, Jiali Hu, Xitong Ling et al.
Context-Aware Patch Representations for Multiple Instance Learning
Andreas Lolos, Theofilos Christodoulou, Aris L. Moustakas et al.
SCR$^2$-ST: Combine Single Cell with Spatial Transcriptomics for Efficient Active Sampling via Reinforcement Learning
Junchao Zhu, Ruining Deng, Junlin Guo et al.
MetaVoxel: Joint Diffusion Modeling of Imaging and Clinical Metadata
Yihao Liu, Chenyu Gao, Lianrui Zuo et al.
SoftCAM: Making black box models self-explainable for medical image analysis
Kerol Djoumessi, Philipp Berens
LabelG: Consistent Pairwise 3D CT Image and Segmentation Mask Generation via Medical Foundation Models
Lu-Yan Wang, Tzung-Dau Wang, Shang-Hong Lai