{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:HGNAYS5TTWWGZ7JAU5B2C2R5CM","short_pith_number":"pith:HGNAYS5T","canonical_record":{"source":{"id":"1710.06304","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2017-10-17T14:11:57Z","cross_cats_sorted":["eess.IV","physics.med-ph"],"title_canon_sha256":"8d355337b32e44dda08410b3e802a7596d0acf54922be1b7c3a4abaa1033baf1","abstract_canon_sha256":"be7db69c659a1875883a247c92832429a4d4191ddef84358873300b079a859a6"},"schema_version":"1.0"},"canonical_sha256":"399a0c4bb39dac6cfd20a743a16a3d13055c678c2ec63009da35c9ccf47e44c1","source":{"kind":"arxiv","id":"1710.06304","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1710.06304","created_at":"2026-05-18T00:32:32Z"},{"alias_kind":"arxiv_version","alias_value":"1710.06304v1","created_at":"2026-05-18T00:32:32Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1710.06304","created_at":"2026-05-18T00:32:32Z"},{"alias_kind":"pith_short_12","alias_value":"HGNAYS5TTWWG","created_at":"2026-05-18T12:31:18Z"},{"alias_kind":"pith_short_16","alias_value":"HGNAYS5TTWWGZ7JA","created_at":"2026-05-18T12:31:18Z"},{"alias_kind":"pith_short_8","alias_value":"HGNAYS5T","created_at":"2026-05-18T12:31:18Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:HGNAYS5TTWWGZ7JAU5B2C2R5CM","target":"record","payload":{"canonical_record":{"source":{"id":"1710.06304","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2017-10-17T14:11:57Z","cross_cats_sorted":["eess.IV","physics.med-ph"],"title_canon_sha256":"8d355337b32e44dda08410b3e802a7596d0acf54922be1b7c3a4abaa1033baf1","abstract_canon_sha256":"be7db69c659a1875883a247c92832429a4d4191ddef84358873300b079a859a6"},"schema_version":"1.0"},"canonical_sha256":"399a0c4bb39dac6cfd20a743a16a3d13055c678c2ec63009da35c9ccf47e44c1","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:32:32.296105Z","signature_b64":"wog654oDUESKsioVxB/fDIrgKUsRfgoj0gQVVKAMBIh+yxiqIpuwAkY7+1bzhzdIde3X2UFvC7IBYhmlACrRDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"399a0c4bb39dac6cfd20a743a16a3d13055c678c2ec63009da35c9ccf47e44c1","last_reissued_at":"2026-05-18T00:32:32.295394Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:32:32.295394Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1710.06304","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:32:32Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"LZQ8SEnOPTXGyV6bEX2eWRu2KMqaf/UGdJKvhWHmZCqvZoUsDfZVRm42zPJysDIjOMOtSv+U3AhSQfdMgjaSDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-01T07:40:06.169413Z"},"content_sha256":"8ae136a91113a444d859d97c1e2c4b2aba6758b00702ca5c50f92bf69a9874f0","schema_version":"1.0","event_id":"sha256:8ae136a91113a444d859d97c1e2c4b2aba6758b00702ca5c50f92bf69a9874f0"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:HGNAYS5TTWWGZ7JAU5B2C2R5CM","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Towards CT-quality Ultrasound Imaging using Deep Learning","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":["eess.IV","physics.med-ph"],"primary_cat":"cs.CV","authors_text":"Alex M. Bronstein, Michael Zibulevsky, Oleg V. Michailovich, Ortal Senouf, Sanketh Vedula","submitted_at":"2017-10-17T14:11:57Z","abstract_excerpt":"The cost-effectiveness and practical harmlessness of ultrasound imaging have made it one of the most widespread tools for medical diagnosis. Unfortunately, the beam-forming based image formation produces granular speckle noise, blurring, shading and other artifacts. To overcome these effects, the ultimate goal would be to reconstruct the tissue acoustic properties by solving a full wave propagation inverse problem. In this work, we make a step towards this goal, using Multi-Resolution Convolutional Neural Networks (CNN). As a result, we are able to reconstruct CT-quality images from the reflec"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1710.06304","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:32:32Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"qsAo+csh0ve9jRDA56N2pGv39nt18kAsaSwK7AdbJlfUItmfDMwqZnBGa3d30rwy1vb6bZdu+R548alJK2dYBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-01T07:40:06.169764Z"},"content_sha256":"968a3b6198361e93164ed6171967a1db20d78e19829d89c792b06e7e50754821","schema_version":"1.0","event_id":"sha256:968a3b6198361e93164ed6171967a1db20d78e19829d89c792b06e7e50754821"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/HGNAYS5TTWWGZ7JAU5B2C2R5CM/bundle.json","state_url":"https://pith.science/pith/HGNAYS5TTWWGZ7JAU5B2C2R5CM/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/HGNAYS5TTWWGZ7JAU5B2C2R5CM/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-06-01T07:40:06Z","links":{"resolver":"https://pith.science/pith/HGNAYS5TTWWGZ7JAU5B2C2R5CM","bundle":"https://pith.science/pith/HGNAYS5TTWWGZ7JAU5B2C2R5CM/bundle.json","state":"https://pith.science/pith/HGNAYS5TTWWGZ7JAU5B2C2R5CM/state.json","well_known_bundle":"https://pith.science/.well-known/pith/HGNAYS5TTWWGZ7JAU5B2C2R5CM/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:HGNAYS5TTWWGZ7JAU5B2C2R5CM","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"be7db69c659a1875883a247c92832429a4d4191ddef84358873300b079a859a6","cross_cats_sorted":["eess.IV","physics.med-ph"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2017-10-17T14:11:57Z","title_canon_sha256":"8d355337b32e44dda08410b3e802a7596d0acf54922be1b7c3a4abaa1033baf1"},"schema_version":"1.0","source":{"id":"1710.06304","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1710.06304","created_at":"2026-05-18T00:32:32Z"},{"alias_kind":"arxiv_version","alias_value":"1710.06304v1","created_at":"2026-05-18T00:32:32Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1710.06304","created_at":"2026-05-18T00:32:32Z"},{"alias_kind":"pith_short_12","alias_value":"HGNAYS5TTWWG","created_at":"2026-05-18T12:31:18Z"},{"alias_kind":"pith_short_16","alias_value":"HGNAYS5TTWWGZ7JA","created_at":"2026-05-18T12:31:18Z"},{"alias_kind":"pith_short_8","alias_value":"HGNAYS5T","created_at":"2026-05-18T12:31:18Z"}],"graph_snapshots":[{"event_id":"sha256:968a3b6198361e93164ed6171967a1db20d78e19829d89c792b06e7e50754821","target":"graph","created_at":"2026-05-18T00:32:32Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"paper":{"abstract_excerpt":"The cost-effectiveness and practical harmlessness of ultrasound imaging have made it one of the most widespread tools for medical diagnosis. Unfortunately, the beam-forming based image formation produces granular speckle noise, blurring, shading and other artifacts. To overcome these effects, the ultimate goal would be to reconstruct the tissue acoustic properties by solving a full wave propagation inverse problem. In this work, we make a step towards this goal, using Multi-Resolution Convolutional Neural Networks (CNN). As a result, we are able to reconstruct CT-quality images from the reflec","authors_text":"Alex M. Bronstein, Michael Zibulevsky, Oleg V. Michailovich, Ortal Senouf, Sanketh Vedula","cross_cats":["eess.IV","physics.med-ph"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2017-10-17T14:11:57Z","title":"Towards CT-quality Ultrasound Imaging using Deep Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1710.06304","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:8ae136a91113a444d859d97c1e2c4b2aba6758b00702ca5c50f92bf69a9874f0","target":"record","created_at":"2026-05-18T00:32:32Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"be7db69c659a1875883a247c92832429a4d4191ddef84358873300b079a859a6","cross_cats_sorted":["eess.IV","physics.med-ph"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2017-10-17T14:11:57Z","title_canon_sha256":"8d355337b32e44dda08410b3e802a7596d0acf54922be1b7c3a4abaa1033baf1"},"schema_version":"1.0","source":{"id":"1710.06304","kind":"arxiv","version":1}},"canonical_sha256":"399a0c4bb39dac6cfd20a743a16a3d13055c678c2ec63009da35c9ccf47e44c1","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"399a0c4bb39dac6cfd20a743a16a3d13055c678c2ec63009da35c9ccf47e44c1","first_computed_at":"2026-05-18T00:32:32.295394Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:32:32.295394Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"wog654oDUESKsioVxB/fDIrgKUsRfgoj0gQVVKAMBIh+yxiqIpuwAkY7+1bzhzdIde3X2UFvC7IBYhmlACrRDg==","signature_status":"signed_v1","signed_at":"2026-05-18T00:32:32.296105Z","signed_message":"canonical_sha256_bytes"},"source_id":"1710.06304","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:8ae136a91113a444d859d97c1e2c4b2aba6758b00702ca5c50f92bf69a9874f0","sha256:968a3b6198361e93164ed6171967a1db20d78e19829d89c792b06e7e50754821"],"state_sha256":"a5dc0355b80cfc39edea1f01d32e19079a8e2df3f79cdf33591b3658fb87d5ee"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"QJTh0u1lWm+AJvrFxkyT+0OHu9aLUxhskCTb/ZuV8Qo57SHd2X7GDnOhmEkYW4g6vJecodtwOHoELSxQjkYbAg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-01T07:40:06.171765Z","bundle_sha256":"f826450b7360b74af300de60b402e4c3e65cf5693a8edae5996bc05512f5c64f"}}