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Paper Citation Record · LEDGER

Dual-Adaptive SAM3: Hierarchical Routing over Low-Rank Expert Layers for Parameter-Efficient Medical Image Segmentation

As of 9 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 0 inbound Pith citation observations for arXiv:2607.02571.

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pith.paper-citation-record.v1
2607.02571 v1

Coverage vector

measured 25 of 25 reference resolution

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measured 0 of 0 inbound itemization

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25 of 25 outbound references displayed

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Outbound references

Observation b0e73fab-661e-4efa-bad4-178bfa3cdff2 · outbound

This paper cites Deep learning techniques for automatic mri cardiac multi- structures segmentation and diagnosis: is the problem solved?IEEE transactions on medical imaging, 37(11):2514–2525, 2018.

Dual-Adaptive SAM3: Hierarchical Routing over Low-Rank Expert Layers for Parameter-Efficient Medical Image Segmentation Deep learning techniques for automatic mri cardiac multi- structures segmentation and diagnosis: is the problem solved?IEEE transactions on medical imaging, 37(11):2514–2525, 2018

Reference 1

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Observation 8ad1fa40-6cb0-4aec-9677-25d944611707 · outbound

This paper cites SAM 3: Segment Anything with Concepts.

Dual-Adaptive SAM3: Hierarchical Routing over Low-Rank Expert Layers for Parameter-Efficient Medical Image Segmentation SAM 3: Segment Anything with Concepts

Reference 2

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Observation 1839d787-5e4d-430c-8abf-8e7803149e7e · outbound

This paper cites TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation.

Dual-Adaptive SAM3: Hierarchical Routing over Low-Rank Expert Layers for Parameter-Efficient Medical Image Segmentation TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation

Reference 3

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Observation cb37bf95-d904-4192-88c5-443a509b8d18 · outbound

This paper cites Unleashing the potential of sam for medical adaptation via hierarchical decoding.

Dual-Adaptive SAM3: Hierarchical Routing over Low-Rank Expert Layers for Parameter-Efficient Medical Image Segmentation Unleashing the potential of sam for medical adaptation via hierarchical decoding

Reference 4

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Observation 0f5a99e8-aa8e-417e-8d89-adc2276174ef · outbound

This paper cites Multi-organ segmentation over partially labeled datasets with multi-scale feature abstraction.IEEE Transactions on Medical Imag- ing, 39(11):3619–3629, 2020.

Dual-Adaptive SAM3: Hierarchical Routing over Low-Rank Expert Layers for Parameter-Efficient Medical Image Segmentation Multi-organ segmentation over partially labeled datasets with multi-scale feature abstraction.IEEE Transactions on Medical Imag- ing, 39(11):3619–3629, 2020

Reference 5

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Observation fa64cfff-b572-468b-acea-99eb735c2945 · outbound

This paper cites Desam: Decoupled segment anything model for generalizable medical image segmentation.

Dual-Adaptive SAM3: Hierarchical Routing over Low-Rank Expert Layers for Parameter-Efficient Medical Image Segmentation Desam: Decoupled segment anything model for generalizable medical image segmentation

Reference 6

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Observation be6a2177-70ce-4cdf-9a07-98803e73f238 · outbound

This paper cites Swin unetr: Swin transformers for semantic segmentation of brain tumors in mri images.

Dual-Adaptive SAM3: Hierarchical Routing over Low-Rank Expert Layers for Parameter-Efficient Medical Image Segmentation Swin unetr: Swin transformers for semantic segmentation of brain tumors in mri images

Reference 7

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Observation d397d911-2cdf-4c80-8a58-2d82504da07d · outbound

This paper cites Lora: Low-rank adaptation of large language models.ICLR, 1(2):3, 2022.

Dual-Adaptive SAM3: Hierarchical Routing over Low-Rank Expert Layers for Parameter-Efficient Medical Image Segmentation Lora: Low-rank adaptation of large language models.ICLR, 1(2):3, 2022

Reference 8

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Observation bf0a1d57-a9eb-4e56-97ef-ec35d268e186 · outbound

This paper cites Ders: Towards extremely efficient upcycled mixture-of-experts models.

Dual-Adaptive SAM3: Hierarchical Routing over Low-Rank Expert Layers for Parameter-Efficient Medical Image Segmentation Ders: Towards extremely efficient upcycled mixture-of-experts models

Reference 9

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Observation cb3dbc58-03aa-4e58-8b4a-e7b41c524837 · outbound

This paper cites A-eval: A benchmark for cross-dataset and cross-modality evaluation of abdominal multi-organ segmenta- tion.Medical Image Analysis, 101:103499, 2025.

Dual-Adaptive SAM3: Hierarchical Routing over Low-Rank Expert Layers for Parameter-Efficient Medical Image Segmentation A-eval: A benchmark for cross-dataset and cross-modality evaluation of abdominal multi-organ segmenta- tion.Medical Image Analysis, 101:103499, 2025

Reference 10

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Observation 3f5e2240-d3d8-4b5f-8ab7-951e2a48c376 · outbound

This paper cites nnu-net: a self-configuring method for deep learning-based biomedical image segmentation.Nature methods, 18(2):203–211, 2021.

Dual-Adaptive SAM3: Hierarchical Routing over Low-Rank Expert Layers for Parameter-Efficient Medical Image Segmentation nnu-net: a self-configuring method for deep learning-based biomedical image segmentation.Nature methods, 18(2):203–211, 2021

Reference 11

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Observation 22f61bb3-bef9-4c64-b428-914be0acad39 · outbound

This paper cites Segment anything.

Dual-Adaptive SAM3: Hierarchical Routing over Low-Rank Expert Layers for Parameter-Efficient Medical Image Segmentation Segment anything

Reference 12

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Observation 4e63f88e-c19d-4622-924b-f5962aaf41cb · outbound

This paper cites Miccaimulti-atlaslabelingbeyondthecranialvault–workshopand challenge.

Dual-Adaptive SAM3: Hierarchical Routing over Low-Rank Expert Layers for Parameter-Efficient Medical Image Segmentation Miccaimulti-atlaslabelingbeyondthecranialvault–workshopand challenge

Reference 13

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Observation 2d9d3954-8822-4538-8c0c-3a7f2f4314b6 · outbound

This paper cites Moe-sam: Enhancing sam for medical image segmentation with mixture-of-experts.

Dual-Adaptive SAM3: Hierarchical Routing over Low-Rank Expert Layers for Parameter-Efficient Medical Image Segmentation Moe-sam: Enhancing sam for medical image segmentation with mixture-of-experts

Reference 14

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Observation ad509a7b-ea2f-4f99-88ec-dbba47c15c7c · outbound

This paper cites Beyond adapting sam: Towards end-to-end ultrasound image segmentation via auto prompting.

Dual-Adaptive SAM3: Hierarchical Routing over Low-Rank Expert Layers for Parameter-Efficient Medical Image Segmentation Beyond adapting sam: Towards end-to-end ultrasound image segmentation via auto prompting

Reference 15

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Observation 5e40240d-99ae-45cf-a3a0-1a4fe48ab363 · outbound

This paper cites Swin-umamba: Mamba-based unet with imagenet-based pretraining.

Dual-Adaptive SAM3: Hierarchical Routing over Low-Rank Expert Layers for Parameter-Efficient Medical Image Segmentation Swin-umamba: Mamba-based unet with imagenet-based pretraining

Reference 16

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Observation c20aab32-492b-4dac-8761-115f477bb8a0 · outbound

This paper cites Segment anything in medical images.Nature Communications, 15(1):654, 2024.

Dual-Adaptive SAM3: Hierarchical Routing over Low-Rank Expert Layers for Parameter-Efficient Medical Image Segmentation Segment anything in medical images.Nature Communications, 15(1):654, 2024

Reference 17

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Observation 0d0211d6-cf29-4213-b2e9-476dbffda749 · outbound

This paper cites Mednext: transformer-driven scaling of convnets for medical image segmentation.

Dual-Adaptive SAM3: Hierarchical Routing over Low-Rank Expert Layers for Parameter-Efficient Medical Image Segmentation Mednext: transformer-driven scaling of convnets for medical image segmentation

Reference 18

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Observation 22f3ed24-f486-4b5a-8e3d-ac00d4cb5409 · outbound

This paper cites AutoSAM: Adapting SAM to Medical Images by Overloading the Prompt Encoder.

Dual-Adaptive SAM3: Hierarchical Routing over Low-Rank Expert Layers for Parameter-Efficient Medical Image Segmentation AutoSAM: Adapting SAM to Medical Images by Overloading the Prompt Encoder

Reference 19

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Observation c2c18437-4836-443e-a0bb-dbd274051b2d · outbound

This paper cites Sictta: Single image continual test time adaptation for medical image segmentation.Medical Image Analysis, 108:103859, 2026.

Dual-Adaptive SAM3: Hierarchical Routing over Low-Rank Expert Layers for Parameter-Efficient Medical Image Segmentation Sictta: Single image continual test time adaptation for medical image segmentation.Medical Image Analysis, 108:103859, 2026

Reference 20

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Observation b7dbfb02-6456-4478-b249-cb22e2c6c98a · outbound

This paper cites Medical sam adapter: Adapting segment anything model for medical image segmentation.Medical image analysis, 102:103547, 2025.

Dual-Adaptive SAM3: Hierarchical Routing over Low-Rank Expert Layers for Parameter-Efficient Medical Image Segmentation Medical sam adapter: Adapting segment anything model for medical image segmentation.Medical image analysis, 102:103547, 2025

Reference 21

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Observation ed7500f2-1514-4cd0-b123-a04fb66f7557 · outbound

This paper cites Accel- erating vision foundation model for efficient medical image segmentation.Medical Physics, 53(1):e70193, 2026.

Dual-Adaptive SAM3: Hierarchical Routing over Low-Rank Expert Layers for Parameter-Efficient Medical Image Segmentation Accel- erating vision foundation model for efficient medical image segmentation.Medical Physics, 53(1):e70193, 2026

Reference 22

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Observation ef50c7cd-a954-4a08-81d0-01d43909fd6a · outbound

This paper cites SA-Med2D-20M Dataset: Segment Anything in 2D Medical Imaging with 20 Million masks.

Dual-Adaptive SAM3: Hierarchical Routing over Low-Rank Expert Layers for Parameter-Efficient Medical Image Segmentation SA-Med2D-20M Dataset: Segment Anything in 2D Medical Imaging with 20 Million masks

Reference 23

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Observation f7322546-4469-4e15-8f15-ff22e886cbc4 · outbound

This paper cites Customized Segment Anything Model for Medical Image Segmentation.

Dual-Adaptive SAM3: Hierarchical Routing over Low-Rank Expert Layers for Parameter-Efficient Medical Image Segmentation Customized Segment Anything Model for Medical Image Segmentation

Reference 24

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Observation 6a31c28a-3456-4022-9b01-72a2c1c3d772 · outbound

This paper cites Multi-scale patch and multi-modality atlases for whole heart segmentation of mri.Medical image analysis, 31:77–87, 2016.

Dual-Adaptive SAM3: Hierarchical Routing over Low-Rank Expert Layers for Parameter-Efficient Medical Image Segmentation Multi-scale patch and multi-modality atlases for whole heart segmentation of mri.Medical image analysis, 31:77–87, 2016

Reference 25

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